{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Geometries in pyFAI\n",
    "\n",
    "This notebook demonstrates the different orientations of axes in the geometry used by pyFAI."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demonstration\n",
    "The tutorial uses the *Jypyter notebook*. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "start_time = time.time()\n",
    "%pylab nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pyFAI version 0.15.0-beta2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mntdirect/_scisoft/users/jupyter/jupy35/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pyFAI\n",
    "print(\"Using pyFAI version\", pyFAI.version)\n",
    "from pyFAI.gui import jupyter\n",
    "from pyFAI.calibrant import get_calibrant"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use a fake detector of 1000x1000 pixels of 100_µm each.\n",
    "The simulated beam has a wavelength of 0.1_nm and the calibrant chose is silver behenate which gives regularly spaced rings.\n",
    "The detector will originally be placed at 1_m from the sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "wl = 1e-10\n",
    "cal = get_calibrant(\"AgBh\")\n",
    "cal.wavelength=wl\n",
    "\n",
    "detector = pyFAI.detectors.Detector(100e-6, 100e-6)\n",
    "detector.max_shape=(1000,1000)\n",
    "\n",
    "ai = pyFAI.AzimuthalIntegrator(dist=1, detector=detector)\n",
    "ai.wavelength = wl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dc9b128>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"Inital\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Translation orthogonal to the beam: poni1 and poni2\n",
    "We will now set the first dimension (vertical) offset to the center of the detector: 100e-6 * 1000 / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "poni1: 0.05\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dc5cdd8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 = 100e-6 * 1000 / 2\n",
    "print(\"poni1:\", p1)\n",
    "ai.poni1 = p1\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"set poni1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's do the same in the second dimensions: along the horizontal axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "poni2: 0.05\n",
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1000.000mm\tCenter: x=500.000, y=500.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dc8f898>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2 = 100e-6 * 1000 / 2\n",
    "print(\"poni2:\", p2)\n",
    "ai.poni2 = p2\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"set poni2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The image is now properly centered. Let's investigate the sample-detector distance dimension.\n",
    "\n",
    "For this we need to describe a detector which has a third dimension which will be offseted in the third dimension by half a meter.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC6sv8HNcEL/sXVs2oAAAAASUVORK5CYII=\" width=\"1200\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dc0ada0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#define 3 plots\n",
    "fig, ax = subplots(1, 3, figsize=(12,4))\n",
    "\n",
    "import copy \n",
    "ref_10 = cal.fake_calibration_image(ai, W=1e-4)\n",
    "jupyter.display(ref_10, label=\"dist=1.0m\", ax=ax[1])\n",
    "\n",
    "ai05 = copy.copy(ai)\n",
    "ai05.dist = 0.5\n",
    "ref_05 = cal.fake_calibration_image(ai05, W=1e-4)\n",
    "jupyter.display(ref_05, label=\"dist=0.5m\", ax=ax[0])\n",
    "\n",
    "ai15 = copy.copy(ai)\n",
    "ai15.dist = 1.5\n",
    "ref_15 = cal.fake_calibration_image(ai15, W=1e-4)\n",
    "jupyter.display(ref_15, label=\"dist=1.5m\", ax=ax[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We test now if the sensot of the detector is not located at Z=0 in the detector referential but any arbitrary value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector ShiftedDetector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n"
     ]
    }
   ],
   "source": [
    "\n",
    "class ShiftedDetector(pyFAI.detectors.Detector):\n",
    "    IS_FLAT = False  # this detector is flat\n",
    "    IS_CONTIGUOUS = True  # No gaps: all pixels are adjacents, speeds-up calculation\n",
    "    API_VERSION = \"1.0\"\n",
    "    aliases = [\"ShiftedDetector\"]\n",
    "    MAX_SHAPE=1000,1000\n",
    "    def __init__(self, pixel1=100e-6, pixel2=100e-6, offset=0):\n",
    "        pyFAI.detectors.Detector.__init__(self, pixel1=pixel1, pixel2=pixel2)\n",
    "        self.d3_offset = offset\n",
    "    def calc_cartesian_positions(self, d1=None, d2=None, center=True, use_cython=True):\n",
    "        res = pyFAI.detectors.Detector.calc_cartesian_positions(self, d1=d1, d2=d2, center=center, use_cython=use_cython)\n",
    "        return res[0], res[1], numpy.ones_like(res[1])*self.d3_offset\n",
    "\n",
    "#This creates a detector offseted by half a meter !\n",
    "shiftdet = ShiftedDetector(offset=0.5)\n",
    "print(shiftdet)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector ShiftedDetector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1000.000mm\tCenter: x=500.000, y=500.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dc8f358>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aish = pyFAI.AzimuthalIntegrator(dist=1, poni1=p1, poni2=p2, detector=shiftdet, wavelength=wl)\n",
    "print(aish)\n",
    "shifted = cal.fake_calibration_image(aish, W=1e-4)\n",
    "jupyter.display(shifted, label=\"dist=1.0m, offset Z=+0.5m\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This image is the same as the one with dist=1.5m\n",
    "The positive distance along the *d3* direction is equivalent to increase the distance. \n",
    "*d3* is in the same direction as the incoming beam.\n",
    "\n",
    "After investigation of the three translations, we will now investigate the rotation along the different axes.\n",
    "\n",
    "## Investigation on the rotations:\n",
    "\n",
    "Any rotations of the detector apply after the 3 translations (*dist*, *poni1* and *poni2*)\n",
    "\n",
    "The first axis is the vertical one and a rotation around it ellongates ellipses along the orthogonal axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1020.339mm\tCenter: x=-1527.100, y=500.000 pix\tTilt=11.459 deg  tiltPlanRotation= 180.000 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dbb44e0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = rotation\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"rot1 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So a positive rot1 is equivalent to turning the detector to the right, around the sample position (where the observer is).\n",
    "\n",
    "Let's consider now the rotation along the horizontal axis, rot2:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.200000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1020.339mm\tCenter: x=500.000, y=2527.100 pix\tTilt=11.459 deg  tiltPlanRotation= 90.000 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0db81f28>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = 0\n",
    "ai.rot2 = rotation\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "\n",
    "jupyter.display(img, label=\"rot2 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "So a positive rot2 is equivalent to turning the detector to the down, around the sample position (where the observer is).\n",
    "\n",
    "Now we can combine the two first rotations and check for the effect of the third rotation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.200000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1041.091mm\tCenter: x=-1527.100, y=2568.329 pix\tTilt=16.151 deg  tiltPlanRotation= 134.423 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0db2a9b0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = rotation\n",
    "ai.rot2 = rotation\n",
    "ai.rot3 = 0\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "\n",
    "jupyter.display(img, label=\"rot1 = rot2 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.200000  rot3= 0.200000 rad\n",
      "DirectBeamDist= 1041.091mm\tCenter: x=-1527.100, y=2568.329 pix\tTilt=16.151 deg  tiltPlanRotation= 134.423 deg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0dadb630>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "import copy\n",
    "ai2 = copy.copy(ai)\n",
    "ai2.rot1 = rotation\n",
    "ai2.rot2 = rotation\n",
    "ai2.rot3 = rotation\n",
    "print(ai2)\n",
    "img2 = cal.fake_calibration_image(ai2)\n",
    "\n",
    "\n",
    "jupyter.display(img2, label=\"rot1 = rot2 = rot3 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If one considers the rotation along the incident beam, there is no visible effect on the image as the image is invariant along this transformation.\n",
    "\n",
    "To actually see the effect of this third rotation one needs to perform the azimuthal integration and display the result with properly labeled axes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd0daa6be0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = subplots(1,2,figsize=(10,5))\n",
    "\n",
    "res1 = ai.integrate2d(img, 300, 360, unit=\"2th_deg\")\n",
    "jupyter.plot2d(res1, label=\"rot3 = 0 rad\", ax=ax[0])\n",
    "\n",
    "res2 = ai2.integrate2d(img2, 300, 360, unit=\"2th_deg\")\n",
    "jupyter.plot2d(res2, label=\"rot3 = 0.2 rad\", ax=ax[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So the increasing *rot3* creates more negative azimuthal angles: it is like rotating the detector clockwise around the incident beam.\n",
    "\n",
    "## Conclusion\n",
    "\n",
    "All 3 translations and all 3 rotations can be summarized in the following figure: \n",
    "\n",
    "![PONI figure](../../../img/PONI.png \"test\")\n",
    "\n",
    "\n",
    "It may appear strange to have (x_1, x_2, x_3) indirect indirect but this has been made in such a way chi, the azimuthal angle, is 0 along x_2 and 90_deg along x_1 (and not vice-versa).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing time: 3.287s\n"
     ]
    }
   ],
   "source": [
    "print(\"Processing time: %.3fs\"%(time.time()-start_time))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
