06-Fit-CdSe-nanoparticle.ipynb

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    "# initializations\n",
    "%matplotlib notebook\n",
    "import matplotlib\n",
    "# make figures smaller\n",
    "matplotlib.rc('figure', figsize=(5, 3.75))\n",
    "\n",
    "import numpy.linalg\n",
    "from scipy.optimize import leastsq\n",
    "from diffpy.srfit.fitbase import FitRecipe, FitResults\n",
    "from cdse_functions import differenceplot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PDF refinement of CdSe nanocluster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have x-ray PDF data measured from a solution of nanosized CdSe clusters.\n",
    "Here we show how to model them using a shape-corrected crystalline PDF and\n",
    "also with a finite-cluster model that contains all atom positions in the cluster.\n",
    "\n",
    "**Contents**\n",
    "\n",
    "> [Bulk PDF](#bulk-pdf)<br>\n",
    "> [Spherical shape correction](#spherical-shape-correction)<br>\n",
    "> [Spheroid shape correction](#pyobjcryst)<br>\n",
    "> [Finite cluster model](#FIXME)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bulk PDF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will set up the shape-corrected PDF fits by tweaking a simple crystal PDF model.\n",
    "It is therefore convenient to define a function which creates crystal refinement from scratch. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# GLOBAL CONSTANTS\n",
    "c_crystalfile = 'CdSe_zinc-blende.cif'\n",
    "c_clusterfile = 'CdSe_T5.xyz'\n",
    "c_pdfdatafile = 'CdSe.gr'\n",
    "c_fitrange = (1, 20)\n",
    "c_qdamp = 0.06\n",
    "c_qmin = 0.9    # Qmin cutoff in X-ray data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def best_scale(ysim, yobs):\n",
    "    \"Return the best least-squares scaling of ysim that approximates yobs\"\n",
    "    sc = numpy.dot(yobs, ysim) / numpy.dot(ysim, ysim)\n",
    "    return sc\n",
    "\n",
    "\n",
    "def new_crystal_fit():\n",
    "    from diffpy.srfit.pdf import PDFContribution\n",
    "    from pyobjcryst import loadCrystal\n",
    "    gtot = PDFContribution('gtot')\n",
    "    gtot.qdamp = c_qdamp\n",
    "    gtot.loadData(c_pdfdatafile)\n",
    "    crst = loadCrystal(c_crystalfile)\n",
    "    gtot.addStructure('cdse', crst)\n",
    "    gtot.profile.setCalculationRange(*c_fitrange)\n",
    "    fit = FitRecipe()\n",
    "    fit.clearFitHooks()\n",
    "    fit.addContribution(gtot)\n",
    "    sc0 = best_scale(gtot.evaluate(), gtot.profile.y)\n",
    "    fit.addVar(gtot.scale, value=sc0)\n",
    "    fit.addVar(gtot.cdse.delta2, value=1)\n",
    "    fit.addVar(gtot.cdse.phase.sgpars.latpars.a)\n",
    "    fit.addVar(gtot.cdse.phase.Cd1.Biso, name='BisoCd')\n",
    "    fit.addVar(gtot.cdse.phase.Se1.Biso, name='BisoSe')\n",
    "    return fit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us start with bulk crystal PDF model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (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=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcrystal = new_crystal_fit()\n",
    "leastsq(fcrystal.residual, fcrystal.values)\n",
    "differenceplot(fcrystal, fig=1, title='crystal PDF');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rw = 0.4962582098375881\n"
     ]
    }
   ],
   "source": [
    "rescrystal = FitResults(fcrystal)\n",
    "print(\"Rw =\", rescrystal.rw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spherical shape correction\n",
    "\n",
    "We will start with bulk PDF model and then\n",
    "add spherical shape correction factor to the PDF formula."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "old equation: (scale * cdse())\n",
      "new equation: ((scale * cdse()) * fsphere(r, psize))\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (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=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fsphere = new_crystal_fit()\n",
    "\n",
    "# srfit has several shape functions of its own and\n",
    "# also allows to use shape factors from SasView when installed\n",
    "from diffpy.srfit.pdf.characteristicfunctions import sphericalCF\n",
    "# The sphericalCF needs to be registered so it is available in symbolic formula\n",
    "fsphere.gtot.registerFunction(sphericalCF, name='fsphere')\n",
    "print(\"old equation:\", fsphere.gtot.getEquation())\n",
    "fsphere.gtot.setEquation('scale * cdse * fsphere')\n",
    "print(\"new equation:\", fsphere.gtot.getEquation())\n",
    "# the sphericalCF argument `psize` is now available as a parameter in the fit\n",
    "# here we mark it for refinement\n",
    "fsphere.addVar(fsphere.gtot.psize, value=20)\n",
    "\n",
    "# fit it and plot it\n",
    "leastsq(fsphere.residual, fsphere.values)\n",
    "differenceplot(fsphere, fig=2, title='spherical shape correction');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rw = 0.22872299157096956\n"
     ]
    }
   ],
   "source": [
    "ressphere = FitResults(fsphere)\n",
    "print(\"Rw =\", ressphere.rw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spheroid shape correction\n",
    "\n",
    "This is sphere stretched along 1 axis.  The shape function has\n",
    "2 arguments `psize` for the initial diabeter and `axrat` giving\n",
    "the ratio of the third axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (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=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let us call this fit `fegg` for a better naming clarity\n",
    "fegg = new_crystal_fit()\n",
    "from diffpy.srfit.pdf.characteristicfunctions import spheroidalCF2\n",
    "fegg.gtot.registerFunction(spheroidalCF2, name='eggshape')\n",
    "fegg.gtot.setEquation('scale * cdse * eggshape')\n",
    "fegg.addVar(fegg.gtot.psize, value=20)\n",
    "fegg.addVar(fegg.gtot.axrat, value=1)\n",
    "leastsq(fegg.residual, fegg.values)\n",
    "differenceplot(fegg, fig=3, title='spheroid shape correction');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Some quantities invalid due to missing profile uncertainty\n",
      "Overall (Chi2 and Reduced Chi2 invalid)\n",
      "------------------------------------------------------------------------------\n",
      "Residual       2.92982548\n",
      "Contributions  2.92982548\n",
      "Restraints     0.00000000\n",
      "Chi2           2.92982548\n",
      "Reduced Chi2   0.00154690\n",
      "Rw             0.22516681\n",
      "\n",
      "Variables (Uncertainties invalid)\n",
      "------------------------------------------------------------------------------\n",
      "BisoCd  2.18764699e+00 +/- 1.28327461e+00\n",
      "BisoSe  3.95087504e+00 +/- 3.61187556e+00\n",
      "a       6.03979764e+00 +/- 3.84231556e-02\n",
      "axrat   4.33340720e-01 +/- 7.87845067e-01\n",
      "delta2  5.61932107e+00 +/- 8.88937748e-01\n",
      "psize   2.38864455e+01 +/- 1.87859431e+01\n",
      "scale   3.19744365e-01 +/- 1.00079991e-01\n",
      "\n",
      "Variable Correlations greater than 25% (Correlations invalid)\n",
      "------------------------------------------------------------------------------\n",
      "corr(psize, axrat)     -0.9508\n",
      "corr(delta2, BisoSe)   0.6776\n",
      "corr(scale, axrat)     -0.6535\n",
      "corr(scale, psize)     0.4689\n",
      "corr(BisoCd, BisoSe)   -0.4428\n",
      "corr(scale, delta2)    -0.3916\n",
      "corr(delta2, axrat)    0.2933\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resegg = FitResults(fegg)\n",
    "print(resegg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The *Rw* is almost the same as for spherical correction.\n",
    "Nearly full correlation between psize and axrat points to a poor model quality"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finite cluster model\n",
    "\n",
    "Here we simulate PDF with a finite CdSe cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def new_cdsecluster_fit():\n",
    "    from diffpy.srfit.pdf import PDFContribution\n",
    "    from diffpy.structure import loadStructure\n",
    "    gtot = PDFContribution('gtot')\n",
    "    gtot.qdamp = c_qdamp\n",
    "    gtot.setQmin(c_qmin)\n",
    "    gtot.loadData(c_pdfdatafile)\n",
    "    cluster = loadStructure(c_clusterfile)\n",
    "    gtot.addStructure('cdse', cluster, periodic=False)\n",
    "    gtot.profile.setCalculationRange(*c_fitrange)\n",
    "    fit = FitRecipe()\n",
    "    fit.clearFitHooks()\n",
    "    fit.addContribution(gtot)\n",
    "    sc0 = best_scale(gtot.evaluate(), gtot.profile.y)\n",
    "    fit.addVar(gtot.scale, sc0)\n",
    "    fit.addVar(gtot.cdse.delta2, value=1)\n",
    "    fit.newVar('expansion', value=0)\n",
    "    fit.newVar('BisoCd', 0.5)\n",
    "    fit.newVar('BisoSe', 0.5)\n",
    "    ph = gtot.cdse.phase\n",
    "    fit.constrain(ph.lattice.a, '(1 + expansion)')\n",
    "    fit.constrain(ph.lattice.b, '(1 + expansion)')\n",
    "    fit.constrain(ph.lattice.c, '(1 + expansion)')\n",
    "    for pa in gtot.cdse.phase.atoms:\n",
    "        if pa.atom.element == \"Cd\":\n",
    "            fit.constrain(pa.Biso, 'BisoCd')\n",
    "        if pa.atom.element == \"Se\":\n",
    "            fit.constrain(pa.Biso, 'BisoSe')\n",
    "    return fit\n",
    "\n",
    "#new_cdsecluster_fit().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (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=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcluster = new_cdsecluster_fit()\n",
    "leastsq(fcluster.residual, fcluster.values)\n",
    "differenceplot(fcluster, title=\"fit with Cd52Se35 tetrahedral cluster\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Some quantities invalid due to missing profile uncertainty\n",
      "Overall (Chi2 and Reduced Chi2 invalid)\n",
      "------------------------------------------------------------------------------\n",
      "Residual       0.78342142\n",
      "Contributions  0.78342142\n",
      "Restraints     0.00000000\n",
      "Chi2           0.78342142\n",
      "Reduced Chi2   0.00041320\n",
      "Rw             0.11643437\n",
      "\n",
      "Variables (Uncertainties invalid)\n",
      "------------------------------------------------------------------------------\n",
      "BisoCd     3.38740359e+00 +/- 2.68032756e+00\n",
      "BisoSe     1.45318552e+00 +/- 2.92895787e+00\n",
      "delta2     5.30856085e+00 +/- 9.10903633e-01\n",
      "expansion  -5.74787369e-03 +/- 6.25050822e-03\n",
      "scale      3.50970593e-01 +/- 6.62906913e-02\n",
      "\n",
      "Variable Correlations greater than 25% (Correlations invalid)\n",
      "------------------------------------------------------------------------------\n",
      "corr(BisoCd, BisoSe)   -0.8088\n",
      "corr(scale, BisoCd)    0.4900\n",
      "corr(delta2, BisoSe)   0.3801\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rescluster = FitResults(fcluster)\n",
    "print(rescluster)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The finite cluster model shows excellent fit to the experiment at Rw = 0.12."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "\n",
    "Task: Perform cluster fit below assuming the full Q-range, i.e., with Qmin = 0.\n",
    "\n",
    "Hint: Qmin can be changed in existing fit using `somefit.gtot.setQmin()` function."
   ]
  }
 ],
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  "kernelspec": {
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