CNN-1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "65d32ac0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "import tensorflow as tf\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from numpy import asarray\n",
    "from numpy import save\n",
    "from numpy import load\n",
    "\n",
    "import pickle\n",
    "import random\n",
    "\n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f2bc708f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keras Imports - CNN\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Conv2D, MaxPool2D, Flatten, Dropout\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from keras.utils.np_utils import to_categorical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f6df5289",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"StrToNum.txt\", \"rb\") as myFile:\n",
    "    StrToNum = pickle.load(myFile)\n",
    "with open(\"NumToStr.txt\", \"rb\") as myFile:\n",
    "    NumToStr = pickle.load(myFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fc30e338",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78200, 32, 32)\n",
      "(78200,)\n",
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45]\n"
     ]
    }
   ],
   "source": [
    "# load numpy array from npy file\n",
    "from numpy import load\n",
    "# load array\n",
    "trainData = load('finalTrainImgData.npy')\n",
    "trainLabels = load('finalTrainClassName.npy')\n",
    "# print the array\n",
    "print(trainData.shape)\n",
    "print(trainLabels.shape)\n",
    "print(np.unique(trainLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "74de71eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "085df6e4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
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       "                'have to enable WebSockets in about:config.'\n",
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       "                'This browser does not support binary websocket messages. ' +\n",
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       "    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",
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       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
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       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
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       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
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       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
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       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
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       "\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",
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       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "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",
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       "\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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.on(\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",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\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": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(3,3))\n",
    "for i in range(9):\n",
    "    r=random.randint(0, 70000)\n",
    "    plt.subplot(331+i)\n",
    "    plt.imshow(trainData[r])\n",
    "    plt.gca().set_title(NumToStr[trainLabels[r]])\n",
    "fig.tight_layout()\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4e478b6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(13800, 32, 32)\n",
      "(13800,)\n",
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45]\n"
     ]
    }
   ],
   "source": [
    "# load numpy array from npy file\n",
    "from numpy import load\n",
    "# load array\n",
    "testData = load('finalTestImgData.npy')\n",
    "testLabels = load('finalTestClassName.npy')\n",
    "# print the array\n",
    "print(testData.shape)\n",
    "print(testLabels.shape)\n",
    "print(np.unique(testLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cd98749e",
   "metadata": {
    "scrolled": true
   },
   "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",
       "\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",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.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 (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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.on(\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",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook       \n",
    "fig=plt.figure(figsize=(3,3))\n",
    "for i in range(9):\n",
    "    r=random.randint(0, 13800)\n",
    "    plt.subplot(331+i)\n",
    "    plt.imshow(testData[r])\n",
    "    plt.gca().set_title(NumToStr[testLabels[r]])\n",
    "fig.tight_layout()\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0ac5d7c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "cnn = Sequential()\n",
    "im_shape = (32, 32, 1)\n",
    "n_classes = 46"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "380ee653",
   "metadata": {},
   "outputs": [],
   "source": [
    "kernelSize = (3, 3)\n",
    "ip_activation = 'relu'\n",
    "ip_conv_0 = Conv2D(filters=32, kernel_size=kernelSize, input_shape=im_shape, activation=ip_activation)\n",
    "cnn.add(ip_conv_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c55a00aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add the next Convolutional+Activation layer\n",
    "ip_conv_0_1 = Conv2D(filters=64, kernel_size=kernelSize, activation=ip_activation)\n",
    "cnn.add(ip_conv_0_1)\n",
    "\n",
    "# Add the Pooling layer\n",
    "pool_0 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding=\"same\")\n",
    "cnn.add(pool_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fd53f9b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "ip_conv_1 = Conv2D(filters=64, kernel_size=kernelSize, activation=ip_activation)\n",
    "cnn.add(ip_conv_1)\n",
    "ip_conv_1_1 = Conv2D(filters=64, kernel_size=kernelSize, activation=ip_activation)\n",
    "cnn.add(ip_conv_1_1)\n",
    "\n",
    "pool_1 = MaxPool2D(pool_size=(2, 2), strides=(2, 2), padding=\"same\")\n",
    "cnn.add(pool_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2082a8af",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's deactivate around 20% of neurons randomly for training\n",
    "drop_layer_0 = Dropout(0.2)\n",
    "cnn.add(drop_layer_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "537c9529",
   "metadata": {},
   "outputs": [],
   "source": [
    "flat_layer_0 = Flatten()\n",
    "cnn.add(Flatten())\n",
    "# Now add the Dense layers\n",
    "h_dense_0 = Dense(units=128, activation=ip_activation, kernel_initializer='uniform')\n",
    "cnn.add(h_dense_0)\n",
    "# Let's add one more before proceeding to the output layer\n",
    "h_dense_1 = Dense(units=64, activation=ip_activation, kernel_initializer='uniform')\n",
    "cnn.add(h_dense_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4398e50b",
   "metadata": {},
   "outputs": [],
   "source": [
    "op_activation = 'softmax'\n",
    "output_layer = Dense(units=n_classes, activation=op_activation, kernel_initializer='uniform')\n",
    "cnn.add(output_layer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c83b7b00",
   "metadata": {},
   "outputs": [],
   "source": [
    "opt = 'adam'\n",
    "loss = 'sparse_categorical_crossentropy'\n",
    "metrics = ['accuracy']\n",
    "# Compile the classifier using the configuration we want\n",
    "cnn.compile(optimizer=opt, loss=loss, metrics=metrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "be7d6d70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 30, 30, 32)        320       \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 28, 28, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D) (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 12, 12, 64)        36928     \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 10, 10, 64)        36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 5, 5, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout (Dropout)            (None, 5, 5, 64)          0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 1600)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 128)               204928    \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                8256      \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 46)                2990      \n",
      "=================================================================\n",
      "Total params: 308,846\n",
      "Trainable params: 308,846\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(cnn.summary())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "71f6bb39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78200, 32, 32)\n",
      "(13800, 32, 32)\n",
      "(78200, 32, 32, 1)\n",
      "(13800, 32, 32, 1)\n"
     ]
    }
   ],
   "source": [
    "print(trainData.shape)\n",
    "print(testData.shape)\n",
    "trainData=np.resize(trainData,(trainData.shape[0], *im_shape))\n",
    "testData=np.resize(testData,(testData.shape[0], *im_shape))\n",
    "print(trainData.shape)\n",
    "print(testData.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "24107c99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/2\n",
      "2444/2444 [==============================] - 229s 94ms/step - loss: 0.1781 - accuracy: 0.9439 - val_loss: 0.1261 - val_accuracy: 0.9614\n",
      "Epoch 2/2\n",
      "2444/2444 [==============================] - 243s 99ms/step - loss: 0.1192 - accuracy: 0.9635 - val_loss: 0.0993 - val_accuracy: 0.9704\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x2402abe1640>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cnn.fit(trainData, trainLabels,batch_size=32, epochs=2, validation_data=(testData, testLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1c14a231",
   "metadata": {},
   "outputs": [],
   "source": [
    "#cnn.save(\"cnn.h5\")  # we can save the model and reload it at anytime in the future\n",
    "cnn = tf.keras.models.load_model('cnn.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "8e4b2539",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 97.04%\n"
     ]
    }
   ],
   "source": [
    "scores = cnn.evaluate(testData, testLabels, verbose=0)\n",
    "print(\"Accuracy: %.2f%%\" % (scores[1]*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "929317ce",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'model' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_13860/4072907555.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mevaluate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrainData\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtrainLabels\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'model' is not defined"
     ]
    }
   ],
   "source": [
    "#print(cnn.evaluate(trainData,trainLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "d67d0b5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "randomImgPath='D:\\SOFTWARES\\Jupyter\\\\p1.png'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "297916a7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'PIL.Image.Image'>\n",
      "(32, 32)\n",
      "<class 'numpy.ndarray'>\n"
     ]
    },
    {
     "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",
       "\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",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.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 (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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.on(\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",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78200, 32, 32, 1)\n",
      "(1, 32, 32, 1)\n",
      "character_6_cha\n"
     ]
    }
   ],
   "source": [
    "randomImg = Image.open(randomImgPath)\n",
    "\n",
    "randomImg = randomImg.convert('L')\n",
    "\n",
    "\n",
    "randomImg = randomImg.resize((32,32))\n",
    "print(type(randomImg))\n",
    "\n",
    "randomImg= np.array(randomImg)\n",
    "randomImg= np.resize(randomImg,(32,32))\n",
    "randomImg = randomImg.astype('float32')\n",
    "randomImg /= 255  \n",
    "\n",
    "\n",
    "print(randomImg.shape)\n",
    "\n",
    "ip=np.resize(randomImg,(1,32,32,1))\n",
    "# ip=testData[2:10]\n",
    "print(type(ip))\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.subplot(111)\n",
    "plt.imshow(ip[0])\n",
    "\n",
    "print(trainData.shape)\n",
    "print(ip.shape)\n",
    "prediction = cnn.predict(ip)\n",
    "print(NumToStr[np.argmax(prediction[0])])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9badc2f3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6be625c1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}