Displaying Latent Space Clustering.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4668b9bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import pandas as pds\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1679943d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_full = pds.read_csv(\"df3dimv5.csv\")\n",
    "df = df_full.loc[df_full['code'] > 0]\n",
    "\n",
    "x1 = df['dim1']\n",
    "y1 = df['dim2']\n",
    "z1 = df['dim3']\n",
    "code = df['code']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "068fcaf3",
   "metadata": {},
   "outputs": [
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       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
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       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "p = ax.scatter(x1, y1, z1, c=code, cmap='Reds')\n",
    "ax.set_xlabel('dim1')\n",
    "ax.set_ylabel('dim2')\n",
    "ax.set_zlabel('dim3')\n",
    "plt.colorbar(p)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "85adb488",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.scatterplot(data=df, x='dim1', y='dim2', hue='dim3', size='code')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e43ad8cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import DBSCAN\n",
    "\n",
    "dims_array = df_full[['dim1', 'dim2', 'dim3']].to_numpy()\n",
    "\n",
    "clustering = DBSCAN(eps=1.5, min_samples=5).fit(dims_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "0500c684",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[   0    0    1 ... 1578   -1   -1]\n"
     ]
    }
   ],
   "source": [
    "print(clustering.labels_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "73ae0dca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "step = 64\n",
    "\n",
    "p = ax.scatter(\n",
    "    dims_array[::step,0], \n",
    "    dims_array[::step,1], \n",
    "    dims_array[::step,2], \n",
    "    c=clustering.labels_[::step], \n",
    "    cmap='Reds'\n",
    ")\n",
    "ax.set_xlabel('dim1')\n",
    "ax.set_ylabel('dim2')\n",
    "ax.set_zlabel('dim3')\n",
    "plt.colorbar(p)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "414ebe59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>paths</th>\n",
       "      <th>dim1</th>\n",
       "      <th>dim2</th>\n",
       "      <th>dim3</th>\n",
       "      <th>code</th>\n",
       "      <th>Cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>31488 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0                                              paths  \\\n",
       "0               0  /media/matt/4TBInternal/zzFootball/1s/20161022...   \n",
       "1               1  /media/matt/4TBInternal/zzFootball/1s/20161022...   \n",
       "2               2  /media/matt/4TBInternal/zzFootball/1s/20161022...   \n",
       "3               3  /media/matt/4TBInternal/zzFootball/1s/20161022...   \n",
       "4               4  /media/matt/4TBInternal/zzFootball/1s/20161022...   \n",
       "...           ...                                                ...   \n",
       "31483       31483  /media/matt/4TBInternal/zzFootball/20161125_MU...   \n",
       "31484       31484  /media/matt/4TBInternal/zzFootball/20161125_MU...   \n",
       "31485       31485  /media/matt/4TBInternal/zzFootball/20161125_MU...   \n",
       "31486       31486  /media/matt/4TBInternal/zzFootball/20161125_MU...   \n",
       "31487       31487  /media/matt/4TBInternal/zzFootball/20161125_MU...   \n",
       "\n",
       "            dim1       dim2       dim3  code  Cluster  \n",
       "0       3.171731  16.130247  11.083091   1.0        0  \n",
       "1       3.170848  16.129942  11.082788   0.0        0  \n",
       "2     -13.082580 -18.569200  -2.500476   0.0        1  \n",
       "3       3.162690  16.120170  11.065245   0.0        0  \n",
       "4       3.067566  16.135948  11.173009   0.0        0  \n",
       "...          ...        ...        ...   ...      ...  \n",
       "31483   3.019868  -6.981023 -26.125816   0.0     1027  \n",
       "31484  -6.050324   9.048628  -7.985569   0.0       -1  \n",
       "31485  11.013716   6.166941  -0.902589   0.0     1578  \n",
       "31486  -7.002407   1.926887 -11.628428   0.0       -1  \n",
       "31487  -6.990274   1.925014 -11.630047   0.0       -1  \n",
       "\n",
       "[31488 rows x 7 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full['Cluster'] = clustering.labels_\n",
    "df_full"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ce2096e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_full.to_csv(\"df3dimv5.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36ff00bc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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