Visualize_hdf5.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9ed5f556",
   "metadata": {},
   "source": [
    "### Set autoreload"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "092459f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "init_mesh_viewer = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32101717",
   "metadata": {},
   "source": [
    "### Import Dependency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f353bd55",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "import time\n",
    "import h5py \n",
    "import random\n",
    "\n",
    "from os import path as osp\n",
    "import os\n",
    "import glob\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from body_visualizer.mesh.mesh_viewer import MeshViewer\n",
    "from human_body_prior.tools.omni_tools import copy2cpu as c2c\n",
    "from human_body_prior.body_model.body_model import BodyModel\n",
    "\n",
    "from utils import plot_mesh, plot_xyz\n",
    "\n",
    "os.environ['PYOPENGL_PLATFORM'] = 'egl' # for visualization in SSH"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b8c4619",
   "metadata": {},
   "source": [
    "### Set directory path and other settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ba2733a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "h5py_dir = '/home/cotton_ahn/dataset/AMASS_h5py/'\n",
    "smpl_dir = './body_models/smplx/'\n",
    "bridge_str = '+++'\n",
    "gender_list = ['neutral', 'female', 'male']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01c78180",
   "metadata": {},
   "source": [
    "### Set device "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e087bdda",
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "def78284",
   "metadata": {},
   "source": [
    "### import random data from the h5py_dir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8c99860e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Import /home/cotton_ahn/dataset/AMASS_h5py/BMLmovi.hdf5\n"
     ]
    }
   ],
   "source": [
    "hdf5_list = glob.glob(osp.join(h5py_dir, '*.hdf5'))\n",
    "chosen_fp = random.choice(hdf5_list)\n",
    "dataset = h5py.File(chosen_fp, 'r')\n",
    "print('Import {}'.format(chosen_fp))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "18c01a8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Visualize \"Subject_42_F_14\" action of subject \"Subject_42_F_MoSh\"\n"
     ]
    }
   ],
   "source": [
    "dataset_keys = list(dataset.keys())\n",
    "chosen_key = random.choice(dataset_keys)\n",
    "chosen_motion = dataset[chosen_key]\n",
    "print('Visualize \"{}\" action of subject \"{}\"'.format(chosen_key.split(bridge_str)[1], \n",
    "                                                            chosen_key.split(bridge_str)[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "11cc0e38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender : male, this motion has 175 frames\n"
     ]
    }
   ],
   "source": [
    "betas = chosen_motion['betas']\n",
    "num_betas = len(betas)\n",
    "poses = chosen_motion['poses'] # T by 165\n",
    "trans = chosen_motion['trans'] # T by 3\n",
    "gender = gender_list[np.asarray(chosen_motion['gender'])]\n",
    "num_frames = len(trans)\n",
    "\n",
    "print('Gender : {}, this motion has {} frames'.format(gender, num_frames))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d2c3726",
   "metadata": {},
   "source": [
    "### Define body model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea24e9a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "bm_smplx_fname = osp.join(smpl_dir, '{}/model.npz'.format(gender))\n",
    "\n",
    "bm = BodyModel(bm_fname=bm_smplx_fname, num_betas=num_betas).to(device)\n",
    "\n",
    "faces = c2c(bm.f)\n",
    "num_verts = bm.init_v_template.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "94dcb24a",
   "metadata": {},
   "outputs": [],
   "source": [
    "body_params = {'root_orient': torch.Tensor(poses[:, :3]),\n",
    "               'pose_body': torch.Tensor(poses[:, 3:66]),\n",
    "               'pose_hand': torch.Tensor(poses[:, 75:75+90]),\n",
    "               'pose_jaw': torch.Tensor(poses[:, 66:69]),\n",
    "               'pose_eye' : torch.Tensor(poses[:, 69:75]),\n",
    "               'trans': torch.Tensor(trans),\n",
    "               'betas': torch.Tensor(np.repeat(betas[:num_betas][np.newaxis], repeats=num_frames, axis=0)),\n",
    "               }\n",
    "\n",
    "# I don't know why but adding \"pose_hand\" makes the whole motion a little bit weird. This setting is recommended.\n",
    "body = bm(**{k:v.to(device) for k,v in body_params.items() if k in ['pose_body', \n",
    "                                                                    'root_orient',\n",
    "                                                                    'trans'\n",
    "                                                                    ]})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e41e0e05",
   "metadata": {},
   "source": [
    "### Start Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d52a8f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "# run this cell only once. Otherwise it makes error. \n",
    "if not init_mesh_viewer:\n",
    "    imw, imh = 640, 480\n",
    "    mv = MeshViewer(imw, imh)\n",
    "    mv.set_cam_trans([0, 1, 4])\n",
    "    init_mesh_viewer = True"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8eb3a4cd",
   "metadata": {},
   "source": [
    "### Plot mesh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "70a2cf0a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(6, 6))\n",
    "\n",
    "plot_mesh(fig, ax, mv, body.v, faces, num_verts)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd926143",
   "metadata": {},
   "source": [
    "### Plot XYZ points. body.Jtr is a set of xyz points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "46e34e83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "plot_xyz(fig, ax, body.Jtr.detach().cpu())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:amass]",
   "language": "python",
   "name": "conda-env-amass-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}