demos/powder_calibration/D_estimate_demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Circle\n",
    "from matplotlib.colors import LogNorm\n",
    "from copy import copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:skbeam.core.constants.xrf:Xraylib is not installed on your machine. xraylib is not installed. Please see https://github.com/tschoonj/xraylib or https://binstar.org/tacaswell/xraylib for help on installing xraylib\n",
      "/reg/neh/home/yoon82/anaconda3/lib/python3.5/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n",
      "  \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n"
     ]
    }
   ],
   "source": [
    "import skbeam\n",
    "from skbeam.core.image import find_ring_center_acorr_1D\n",
    "from skbeam.core.utils import bin_1D, radial_grid, bin_edges_to_centers\n",
    "from skbeam.core.calibration import estimate_d_blind, refine_center\n",
    "from skbeam.core.utils import img_to_relative_xyi\n",
    "import numpy as np\n",
    "from pims.api import TiffStack\n",
    "import os.path\n",
    "pixel_size = (.2, .2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define some helpful functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def estimate_d(img, name, wavelength, pixel_size, mask=None):\n",
    "    # find the center\n",
    "    res = find_ring_center_acorr_1D(img)\n",
    "    res2 = refine_center(img, res, pixel_size, 25, 5, thresh=0.1, window_size=5)\n",
    "    x,y,I = img_to_relative_xyi(img, res2[1], res2[0], pixel_size[1], pixel_size[0])\n",
    "    # used to be bins, sums, counts\n",
    "    d = np.sqrt(x**2+y**2)\n",
    "    if mask is not None:\n",
    "        mask = mask.flatten()\n",
    "        ind = np.where(mask==1)[0]\n",
    "        # number of bins is set to 3 times the maximum of d\n",
    "        bins,sums,counts = bin_1D(d[ind],I[ind],nx=np.max(d)*3)\n",
    "    else:\n",
    "        bins,sums,counts = bin_1D(d,I,nx=np.max(d)*3)\n",
    "    countMask = counts > 10\n",
    "    bin_centers = bin_edges_to_centers(bins)[countMask]\n",
    "    ring_averages = sums[countMask] / counts[countMask]    \n",
    "    d_mean, d_std = estimate_d_blind(name,wavelength, bin_centers,\n",
    "                                     ring_averages, 5, 7, thresh=0.03)\n",
    "    return d_mean, d_std, res2\n",
    "\n",
    "def show_rings_on_image(ax, image, ring_radius, center):\n",
    "    vmin, vmax = np.percentile(image, [80, 100])\n",
    "    my_cmap = copy(matplotlib.cm.get_cmap('gray'))\n",
    "    my_cmap.set_bad('k')\n",
    "    im = ax.imshow(image, cmap=my_cmap, interpolation='none', norm=LogNorm(), vmin=vmin, vmax=vmax)\n",
    "    for r in ring_radius:\n",
    "        c = Circle(center[::-1], r , facecolor='none', edgecolor='r', lw=2, linestyle='dashed')\n",
    "        ax.add_patch(c)\n",
    "    ax.axhline(center[0], color='r')\n",
    "    ax.axvline(center[1], color='r')\n",
    "\n",
    "    ax.set_ylim([center[0] - ring_radius[-1], center[0] + ring_radius[-1]])\n",
    "    ax.set_xlim([center[1] - ring_radius[-1], center[1] + ring_radius[-1]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup data for Si standard sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "    canvas.addClass('mpl-canvas');\n",
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       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
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       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
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       "}\n",
       "\n",
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       "    this.ws.send(JSON.stringify(properties));\n",
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       "\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",
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       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
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       "    x0 = Math.floor(x0) + 0.5;\n",
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       "    y1 = Math.floor(y1) + 0.5;\n",
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       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
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       "        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",
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       "    var cursor = msg['cursor'];\n",
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       "        cursor = 'pointer';\n",
       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "    }\n",
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       "}\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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b06d5f0cf60>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "si_fname = 'Si_STD_d204-00002.tif'\n",
    "si_name = 'Si'\n",
    "si_wavelength = 0.1839\n",
    "si_data = TiffStack(si_fname,dtype='int')\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "ax.imshow(si_data[0],interpolation='none')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup data for LaB6 calibration standard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b0714014f28>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lab6_fname = 'LaB6_d500-0p72959-2Kx2K_pix200.tif'\n",
    "lab6_name = 'LaB6'\n",
    "lab6_wavelength = .72959\n",
    "lab6_data = TiffStack(lab6_fname, dtype='int')\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "ax.imshow(lab6_data[0],interpolation='none')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calibrate Si data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D: 206.54687354536938 ± 0.44676404752969634\n",
      "center: (1040.5375337561584, 1020.3334525778171)\n"
     ]
    }
   ],
   "source": [
    "calib_si = estimate_d(si_data[0], si_name, si_wavelength, pixel_size)\n",
    "print(\"D: {} ± {}\".format(calib_si[0], calib_si[1]))\n",
    "print(\"center: {}\".format(calib_si[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cal_si = skbeam.core.calibration.calibration_standards['Si']\n",
    "si_rings = calib_si[0] * np.tan(cal_si.convert_2theta(si_wavelength)) / pixel_size[0]\n",
    "fig, ax = plt.subplots()\n",
    "show_rings_on_image(ax, si_data[0], si_rings, calib_si[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calibrate using Lab 6 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D: 493.24928496090615 ± 0.44625343620719043\n",
      "center: (1011.735038759629, 1027.5116910034903)\n"
     ]
    }
   ],
   "source": [
    "calib_lab6 = estimate_d(lab6_data[0], lab6_name, lab6_wavelength, pixel_size)\n",
    "print(\"D: {} ± {}\".format(calib_lab6[0], calib_lab6[1]))\n",
    "print(\"center: {}\".format(calib_lab6[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\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",
       "            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",
       "        this.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 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);\n",
       "        canvas.attr('height', height);\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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cal_lab6 = skbeam.core.constants.calibration_standards['LaB6']\n",
    "lab6_rings = calib_lab6[0] * np.tan(cal_lab6.convert_2theta(lab6_wavelength)) / pixel_size[0]\n",
    "fig, ax = plt.subplots()\n",
    "show_rings_on_image(ax, lab6_data[0], lab6_rings, calib_lab6[2])\n",
    "ax.set_xlim([0, lab6_data.frame_shape[0]])\n",
    "ax.set_ylim([0, lab6_data.frame_shape[1]])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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