ecommerce-animated-chart.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dee606f3",
   "metadata": {},
   "source": [
    "## Quick Guide\n",
    "\n",
    "\n",
    "The notebook works as a simple script that calls data from CDMNext using CEIC's Python package, extracts all series from the selected insight, gets all timepoints for these series, builds dataframe, and create a grid of interactive plots with the given dataframes\n",
    "\n",
    "\n",
    "> #### Installation Guide\n",
    ">\n",
    "> 1. Install Python 3.9+\n",
    "> 2. Open terminal and execute\n",
    ">  - pip install --extra-index-url https://downloads.ceicdata.com/python ceic_api_client\n",
    ">  - pip install --extra-index-url https://downloads.ceicdata.com/python ceic_api_client --upgrade\n",
    "---\n",
    "\n",
    "> #### Usage Guide\n",
    ">\n",
    "> **Import libraries** - cell to define libraries we need to set before running the code<br />\n",
    "> **Insight Information** - cell to define the insight we want to replicate<br />\n",
    "> **Function Definitions** - to read or change the existing logic used by the main program<br />\n",
    "> **DataFrames** - select the dataframes that are going to be plotted<br />\n",
    "> **Code Execution** - run the main program based on parameters and functions<br />\n",
    "> \n",
    ">\n",
    "> Visit **[CEIC Main Page](https://www.ceicdata.com/en)** for more information on how to use our data and the PyCEIC package.\n",
    ">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "df3c7ec6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Call the PyCEIC functionalities \n",
    "from ceic_api_client.pyceic import Ceic \n",
    "\n",
    "# Import malplotlib\n",
    "import matplotlib\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.pyplot as plt \n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.image as image\n",
    "import matplotlib.image as mpimg\n",
    "from matplotlib.dates import DateFormatter\n",
    "from matplotlib import animation\n",
    "from matplotlib.animation import FuncAnimation\n",
    "\n",
    "import openpyxl\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from itertools import count\n",
    "%matplotlib notebook\n",
    "\n",
    "from datetime import datetime\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9a83ff03",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\necheverry\\Anaconda3\\lib\\site-packages\\ceic_api_client\\facade\\pyceic_warnings.py:83: UserWarning: \u001b[93m\n",
      "\u001b[1mWARNING: \u001b[0m\u001b[93mThe PyCEIC package is designed as direct\n",
      "interaction interface to CEIC macroeconomic data and\n",
      "any data usage abuse attempt will be recorded.\u001b[0m\n",
      "  warnings.warn(message=self._WARNING_MESSAGE, category=UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<ceic_api_client.pyceic.Ceic at 0x1d14160c070>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "workbook = openpyxl.load_workbook(r'C:\\Users\\necheverry\\OneDrive - Internet Securities, LLC\\Documents\\Documentos\\CEIC\\Scripts\\Python\\credentials.xlsx')\n",
    "sheet = workbook.active\n",
    "user = sheet['A2'].value\n",
    "pasw = sheet['B2'].value\n",
    "Ceic.login(user,pasw)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14937611",
   "metadata": {},
   "source": [
    "### 1. Extract data from CDMNext\n",
    "\n",
    "If you are not a client, proceed to step 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "30e4a712",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_series_to_df(id_list, date):\n",
    "    \n",
    "    '''This function takes the id of a series and downloads the data points'''\n",
    "    \n",
    "    series_d, series_w, series_m = {},{},{} # Dictionaries for each type of frequencies\n",
    "    \n",
    "    # Download the insight series\n",
    "    result = Ceic.series(id_list, start_date=date)\n",
    "    \n",
    "    # Extract the time points\n",
    "    for s in result.data:\n",
    "        if s.series_data != None:\n",
    "            if s.insight_series.applied_functions != None:\n",
    "                column = s.series_data.metadata.name + ': ' + s.insight_series.applied_functions\n",
    "            else:\n",
    "                column = s.series_data.metadata.name\n",
    "            time_points_dict = dict((tp._date, tp.value) for tp in s.series_data.time_points)\n",
    "            series = pd.Series(time_points_dict)\n",
    "\n",
    "            if s.series_data.metadata.frequency.id == 'D':\n",
    "                series_d[column] = series\n",
    "            elif s.series_data.metadata.frequency.id == 'W':\n",
    "                series_w[column] = series\n",
    "            elif s.series_data.metadata.frequency.id == 'M':\n",
    "                series_m[column] = series\n",
    "\n",
    "    df_daily = pd.DataFrame(series_d)\n",
    "    df_weekly = pd.DataFrame(series_w)\n",
    "    df_month = pd.DataFrame(series_m)\n",
    "    \n",
    "    # Converting the index as date\n",
    "    df_daily.index = pd.to_datetime(df_daily.index)\n",
    "    df_weekly.index = pd.to_datetime(df_weekly.index)\n",
    "    df_month.index = pd.to_datetime(df_month.index)\n",
    "    \n",
    "    # Converting the index as date\n",
    "    df_daily = df_daily.sort_index(ascending=True)\n",
    "    df_weekly = df_weekly.sort_index(ascending=True)\n",
    "    df_month = df_weekly.sort_index(ascending=True)\n",
    "    \n",
    "    return df_daily, df_weekly, df_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "cbe24391",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Series ID's\n",
    "\n",
    "grips_series = [\"221c5dd5-43d3-49e9-8a3c-fe5db457b62f\", \"42d78582-f1cb-4601-9fc8-229a627bc97e\", \n",
    "               \"760206ca-1aaa-4568-9d6b-7e24a148af13\", \"2298c105-8a19-4659-9984-b909bc34e5d9\", \n",
    "               \"818c6c50-9b16-4e82-b14c-f3e1f5fbbf94\", \"3d250df3-42d9-45e8-99ba-f24a924b6a45\", \n",
    "               \"2860b57a-b7b7-450a-9803-5e198fd28b6c\", \"f82a74a2-bdc6-4199-a5f5-31c92ff529d9\", \n",
    "               \"0542a1fa-7a91-4226-acb3-8ac6f6da4daf\", \"d7ae9fbd-d112-446f-be94-8a17ecd00bdc\", \n",
    "               \"f89c6220-4183-45db-aa59-00aa4f6b8c64\", \"fa5e29b6-6060-4bf0-b8ce-f8f779200f32\", \n",
    "               \"2f578d60-48f4-4911-bd01-a8b7628d144c\", \"aa5ac93e-6a0c-4685-a2b1-8c091d179a53\", \n",
    "               \"7d908397-6f71-489a-8dcb-64d03473c3c8\", \"9c5e5470-ef91-4281-accc-8873ae6faca9\", \n",
    "               \"f4c7279f-ba70-40ef-87e0-00c2154cb634\", \"abbd4ced-ddf8-4d8e-bc64-c5f44769b0db\", \n",
    "               \"47a0aba7-7c27-4e2b-a97b-21bcb96cb85f\", \"eef094bc-57da-4ba5-b84c-e4444269e2a2\", \n",
    "               \"7a3df027-f699-46d2-8cdc-46ccc326b7b4\", \"d6e70674-0399-42e7-839c-33ee7b72347d\", \n",
    "               \"af2d6971-287d-40f8-a854-717ec52baa19\", \"8d4f22f9-1754-4066-8d4b-50ddbb408aba\", \n",
    "               \"37661cac-1b64-4b89-a7c8-220694ccce69\"]\n",
    "\n",
    "grips_series_date = '2021-01-01'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce50de0d",
   "metadata": {},
   "source": [
    "### 2. Explore the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5ecba831",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>E-Commerce Transactions: Volume: MOVAV(Simple; 14) &gt; DATE_RANGE(2021-01-01; none)</th>\n",
       "      <th>E-Commerce Transactions: Value: Travel &amp; Tourism: Accommodation &amp; Hotels: SUM(Yes; Yes)+selected(517724167+517654577+517848247+517689717) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Computers Electronics &amp; Technology: Computer Hardware: SUM(Yes; Yes)+selected(517865057+517669177+517692147+517823537+517764667+517918887+517740367+517686167) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Pets &amp; Animals: Animals: SUM(Yes; Yes)+selected(517883977+517824067+517953057+517894347) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Arts &amp; Entertainment: Arts &amp; Entertainment: SUM(Yes; Yes)+selected(517729107+517852847+517881707+517940157+517672187) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Science &amp; Education: Education: SUM(Yes; Yes)+selected(517654677+517726527+517778787) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Sports: Golf: SUM(Yes; Yes)+selected(517758907+517951757+517716597+517689687+517742147+517668507+517923197) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: MOVAV(Simple; 14) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers) &gt; DATE_RANGE(2021-01-01; none)</th>\n",
       "      <th>E-Commerce Transactions: Value: Home &amp; Garden: Furniture: SUM(Yes; Yes)+selected(517679167+517937427+517730607+517942807) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Hobbies &amp; Leisure: Antiques &amp; Collectibles: SUM(Yes; Yes)+selected(517939717+517949727+517888007+517790487+517729627) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Finance: Accounting &amp; Auditing: SUM(Yes; Yes)+selected(517858397+517853537+517895247+517646077) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: E-Commerce &amp; Shopping: Auctions: SUM(Yes; Yes)+selected(517883067+517929977+517748827+517721617+517892137+517823367+517794997+517675337) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Health: Health: SUM(Yes; Yes)+selected(517936527+517674967+517816077+517884657+517820837) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Business &amp; Consumer Services: Business &amp; Consumer Services: SUM(Yes; Yes)+selected(517894377+517940757+517830067+517652687+517789187+517728437+517722737) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Value: Heavy Industry &amp; Engineering: Chemical Industry: SUM(Yes; Yes)+selected(517719137+517742107+517894387) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "      <th>E-Commerce Transactions: Average Order Value (AOV): MOVAV(Simple; 14) &gt; DATE_RANGE(2021-01-01; none)</th>\n",
       "      <th>E-Commerce Transactions: Value: Law &amp; Government: Government: SUM(Yes; Yes)+selected(517660017+517843877) &gt; ROLLSUM(30) &gt; UNIT_MULTIPLIER(Million; Convert all multipliers)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>640097.928571</td>\n",
       "      <td>168.968597</td>\n",
       "      <td>315.655426</td>\n",
       "      <td>19.156144</td>\n",
       "      <td>277.171107</td>\n",
       "      <td>20.900710</td>\n",
       "      <td>38.665667</td>\n",
       "      <td>80.960423</td>\n",
       "      <td>116.835334</td>\n",
       "      <td>7.208241</td>\n",
       "      <td>5.374980</td>\n",
       "      <td>96.105755</td>\n",
       "      <td>43.596610</td>\n",
       "      <td>346.948430</td>\n",
       "      <td>0.930239</td>\n",
       "      <td>126.168118</td>\n",
       "      <td>0.009245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-02</th>\n",
       "      <td>633152.571429</td>\n",
       "      <td>165.617342</td>\n",
       "      <td>304.841089</td>\n",
       "      <td>19.282032</td>\n",
       "      <td>273.457329</td>\n",
       "      <td>20.525404</td>\n",
       "      <td>38.149890</td>\n",
       "      <td>79.067039</td>\n",
       "      <td>116.577731</td>\n",
       "      <td>7.032162</td>\n",
       "      <td>5.360475</td>\n",
       "      <td>94.455511</td>\n",
       "      <td>44.307710</td>\n",
       "      <td>328.163545</td>\n",
       "      <td>0.889900</td>\n",
       "      <td>124.640637</td>\n",
       "      <td>0.008852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-03</th>\n",
       "      <td>636836.928571</td>\n",
       "      <td>165.036684</td>\n",
       "      <td>293.754867</td>\n",
       "      <td>19.363814</td>\n",
       "      <td>269.433733</td>\n",
       "      <td>20.794083</td>\n",
       "      <td>37.455375</td>\n",
       "      <td>78.622972</td>\n",
       "      <td>117.084026</td>\n",
       "      <td>6.873264</td>\n",
       "      <td>5.318463</td>\n",
       "      <td>92.925253</td>\n",
       "      <td>45.659148</td>\n",
       "      <td>313.093623</td>\n",
       "      <td>0.863058</td>\n",
       "      <td>123.433264</td>\n",
       "      <td>0.008575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-04</th>\n",
       "      <td>650666.428571</td>\n",
       "      <td>167.695714</td>\n",
       "      <td>278.609058</td>\n",
       "      <td>19.639252</td>\n",
       "      <td>269.966258</td>\n",
       "      <td>22.208103</td>\n",
       "      <td>36.834200</td>\n",
       "      <td>79.533047</td>\n",
       "      <td>117.060469</td>\n",
       "      <td>6.701637</td>\n",
       "      <td>5.566852</td>\n",
       "      <td>91.664159</td>\n",
       "      <td>46.648647</td>\n",
       "      <td>329.222227</td>\n",
       "      <td>0.931025</td>\n",
       "      <td>122.402474</td>\n",
       "      <td>0.009717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-05</th>\n",
       "      <td>659714.142857</td>\n",
       "      <td>169.293765</td>\n",
       "      <td>259.969902</td>\n",
       "      <td>19.913041</td>\n",
       "      <td>269.738587</td>\n",
       "      <td>22.824814</td>\n",
       "      <td>36.229089</td>\n",
       "      <td>80.381617</td>\n",
       "      <td>116.651261</td>\n",
       "      <td>6.413249</td>\n",
       "      <td>5.787353</td>\n",
       "      <td>89.630864</td>\n",
       "      <td>47.800640</td>\n",
       "      <td>346.500751</td>\n",
       "      <td>0.965974</td>\n",
       "      <td>122.009725</td>\n",
       "      <td>0.010479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-31</th>\n",
       "      <td>577642.000000</td>\n",
       "      <td>370.722280</td>\n",
       "      <td>175.201793</td>\n",
       "      <td>8.687451</td>\n",
       "      <td>151.743776</td>\n",
       "      <td>31.710353</td>\n",
       "      <td>46.297391</td>\n",
       "      <td>87.579512</td>\n",
       "      <td>122.679980</td>\n",
       "      <td>4.108902</td>\n",
       "      <td>7.088199</td>\n",
       "      <td>43.334466</td>\n",
       "      <td>76.919810</td>\n",
       "      <td>381.170942</td>\n",
       "      <td>1.074209</td>\n",
       "      <td>151.307841</td>\n",
       "      <td>0.036531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-01</th>\n",
       "      <td>576010.714286</td>\n",
       "      <td>367.075000</td>\n",
       "      <td>175.568834</td>\n",
       "      <td>8.699282</td>\n",
       "      <td>150.704093</td>\n",
       "      <td>31.729075</td>\n",
       "      <td>46.458663</td>\n",
       "      <td>87.203851</td>\n",
       "      <td>122.272610</td>\n",
       "      <td>4.121592</td>\n",
       "      <td>7.125117</td>\n",
       "      <td>42.890193</td>\n",
       "      <td>75.825855</td>\n",
       "      <td>391.103518</td>\n",
       "      <td>1.017864</td>\n",
       "      <td>151.112248</td>\n",
       "      <td>0.036172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-02</th>\n",
       "      <td>575262.857143</td>\n",
       "      <td>375.975409</td>\n",
       "      <td>175.882369</td>\n",
       "      <td>8.742263</td>\n",
       "      <td>149.467234</td>\n",
       "      <td>31.446325</td>\n",
       "      <td>46.656103</td>\n",
       "      <td>87.107874</td>\n",
       "      <td>122.082598</td>\n",
       "      <td>4.134921</td>\n",
       "      <td>7.152567</td>\n",
       "      <td>42.559288</td>\n",
       "      <td>75.025436</td>\n",
       "      <td>399.468339</td>\n",
       "      <td>1.009903</td>\n",
       "      <td>151.147249</td>\n",
       "      <td>0.036404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-03</th>\n",
       "      <td>572065.500000</td>\n",
       "      <td>372.897115</td>\n",
       "      <td>176.006772</td>\n",
       "      <td>8.783611</td>\n",
       "      <td>148.047758</td>\n",
       "      <td>30.975537</td>\n",
       "      <td>45.948333</td>\n",
       "      <td>86.660174</td>\n",
       "      <td>121.261542</td>\n",
       "      <td>4.153289</td>\n",
       "      <td>7.152206</td>\n",
       "      <td>42.032469</td>\n",
       "      <td>72.980090</td>\n",
       "      <td>405.160143</td>\n",
       "      <td>0.970539</td>\n",
       "      <td>151.238284</td>\n",
       "      <td>0.036641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-04</th>\n",
       "      <td>568276.285714</td>\n",
       "      <td>367.841497</td>\n",
       "      <td>173.354090</td>\n",
       "      <td>8.550131</td>\n",
       "      <td>146.156564</td>\n",
       "      <td>30.508436</td>\n",
       "      <td>45.542143</td>\n",
       "      <td>86.047112</td>\n",
       "      <td>121.242993</td>\n",
       "      <td>4.151063</td>\n",
       "      <td>7.076414</td>\n",
       "      <td>41.613489</td>\n",
       "      <td>72.202275</td>\n",
       "      <td>394.093846</td>\n",
       "      <td>0.949268</td>\n",
       "      <td>151.123806</td>\n",
       "      <td>0.036197</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1038 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            E-Commerce Transactions: Volume: MOVAV(Simple; 14) > DATE_RANGE(2021-01-01; none)  \\\n",
       "2021-01-01                                      640097.928571                                   \n",
       "2021-01-02                                      633152.571429                                   \n",
       "2021-01-03                                      636836.928571                                   \n",
       "2021-01-04                                      650666.428571                                   \n",
       "2021-01-05                                      659714.142857                                   \n",
       "...                                                       ...                                   \n",
       "2023-10-31                                      577642.000000                                   \n",
       "2023-11-01                                      576010.714286                                   \n",
       "2023-11-02                                      575262.857143                                   \n",
       "2023-11-03                                      572065.500000                                   \n",
       "2023-11-04                                      568276.285714                                   \n",
       "\n",
       "            E-Commerce Transactions: Value: Travel & Tourism: Accommodation & Hotels: SUM(Yes; Yes)+selected(517724167+517654577+517848247+517689717) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                         168.968597                                                                                                                                                             \n",
       "2021-01-02                                         165.617342                                                                                                                                                             \n",
       "2021-01-03                                         165.036684                                                                                                                                                             \n",
       "2021-01-04                                         167.695714                                                                                                                                                             \n",
       "2021-01-05                                         169.293765                                                                                                                                                             \n",
       "...                                                       ...                                                                                                                                                             \n",
       "2023-10-31                                         370.722280                                                                                                                                                             \n",
       "2023-11-01                                         367.075000                                                                                                                                                             \n",
       "2023-11-02                                         375.975409                                                                                                                                                             \n",
       "2023-11-03                                         372.897115                                                                                                                                                             \n",
       "2023-11-04                                         367.841497                                                                                                                                                             \n",
       "\n",
       "            E-Commerce Transactions: Value: Computers Electronics & Technology: Computer Hardware: SUM(Yes; Yes)+selected(517865057+517669177+517692147+517823537+517764667+517918887+517740367+517686167) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                         315.655426                                                                                                                                                                                                                  \n",
       "2021-01-02                                         304.841089                                                                                                                                                                                                                  \n",
       "2021-01-03                                         293.754867                                                                                                                                                                                                                  \n",
       "2021-01-04                                         278.609058                                                                                                                                                                                                                  \n",
       "2021-01-05                                         259.969902                                                                                                                                                                                                                  \n",
       "...                                                       ...                                                                                                                                                                                                                  \n",
       "2023-10-31                                         175.201793                                                                                                                                                                                                                  \n",
       "2023-11-01                                         175.568834                                                                                                                                                                                                                  \n",
       "2023-11-02                                         175.882369                                                                                                                                                                                                                  \n",
       "2023-11-03                                         176.006772                                                                                                                                                                                                                  \n",
       "2023-11-04                                         173.354090                                                                                                                                                                                                                  \n",
       "\n",
       "            E-Commerce Transactions: Value: Pets & Animals: Animals: SUM(Yes; Yes)+selected(517883977+517824067+517953057+517894347) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                          19.156144                                                                                                                                            \n",
       "2021-01-02                                          19.282032                                                                                                                                            \n",
       "2021-01-03                                          19.363814                                                                                                                                            \n",
       "2021-01-04                                          19.639252                                                                                                                                            \n",
       "2021-01-05                                          19.913041                                                                                                                                            \n",
       "...                                                       ...                                                                                                                                            \n",
       "2023-10-31                                           8.687451                                                                                                                                            \n",
       "2023-11-01                                           8.699282                                                                                                                                            \n",
       "2023-11-02                                           8.742263                                                                                                                                            \n",
       "2023-11-03                                           8.783611                                                                                                                                            \n",
       "2023-11-04                                           8.550131                                                                                                                                            \n",
       "\n",
       "            E-Commerce Transactions: Value: Arts & Entertainment: Arts & Entertainment: SUM(Yes; Yes)+selected(517729107+517852847+517881707+517940157+517672187) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                         277.171107                                                                                                                                                                         \n",
       "2021-01-02                                         273.457329                                                                                                                                                                         \n",
       "2021-01-03                                         269.433733                                                                                                                                                                         \n",
       "2021-01-04                                         269.966258                                                                                                                                                                         \n",
       "2021-01-05                                         269.738587                                                                                                                                                                         \n",
       "...                                                       ...                                                                                                                                                                         \n",
       "2023-10-31                                         151.743776                                                                                                                                                                         \n",
       "2023-11-01                                         150.704093                                                                                                                                                                         \n",
       "2023-11-02                                         149.467234                                                                                                                                                                         \n",
       "2023-11-03                                         148.047758                                                                                                                                                                         \n",
       "2023-11-04                                         146.156564                                                                                                                                                                         \n",
       "\n",
       "            E-Commerce Transactions: Value: Science & Education: Education: SUM(Yes; Yes)+selected(517654677+517726527+517778787) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                          20.900710                                                                                                                                         \n",
       "2021-01-02                                          20.525404                                                                                                                                         \n",
       "2021-01-03                                          20.794083                                                                                                                                         \n",
       "2021-01-04                                          22.208103                                                                                                                                         \n",
       "2021-01-05                                          22.824814                                                                                                                                         \n",
       "...                                                       ...                                                                                                                                         \n",
       "2023-10-31                                          31.710353                                                                                                                                         \n",
       "2023-11-01                                          31.729075                                                                                                                                         \n",
       "2023-11-02                                          31.446325                                                                                                                                         \n",
       "2023-11-03                                          30.975537                                                                                                                                         \n",
       "2023-11-04                                          30.508436                                                                                                                                         \n",
       "\n",
       "            E-Commerce Transactions: Value: Sports: Golf: SUM(Yes; Yes)+selected(517758907+517951757+517716597+517689687+517742147+517668507+517923197) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                          38.665667                                                                                                                                                               \n",
       "2021-01-02                                          38.149890                                                                                                                                                               \n",
       "2021-01-03                                          37.455375                                                                                                                                                               \n",
       "2021-01-04                                          36.834200                                                                                                                                                               \n",
       "2021-01-05                                          36.229089                                                                                                                                                               \n",
       "...                                                       ...                                                                                                                                                               \n",
       "2023-10-31                                          46.297391                                                                                                                                                               \n",
       "2023-11-01                                          46.458663                                                                                                                                                               \n",
       "2023-11-02                                          46.656103                                                                                                                                                               \n",
       "2023-11-03                                          45.948333                                                                                                                                                               \n",
       "2023-11-04                                          45.542143                                                                                                                                                               \n",
       "\n",
       "            E-Commerce Transactions: Value: MOVAV(Simple; 14) > UNIT_MULTIPLIER(Million; Convert all multipliers) > DATE_RANGE(2021-01-01; none)  \\\n",
       "2021-01-01                                          80.960423                                                                                      \n",
       "2021-01-02                                          79.067039                                                                                      \n",
       "2021-01-03                                          78.622972                                                                                      \n",
       "2021-01-04                                          79.533047                                                                                      \n",
       "2021-01-05                                          80.381617                                                                                      \n",
       "...                                                       ...                                                                                      \n",
       "2023-10-31                                          87.579512                                                                                      \n",
       "2023-11-01                                          87.203851                                                                                      \n",
       "2023-11-02                                          87.107874                                                                                      \n",
       "2023-11-03                                          86.660174                                                                                      \n",
       "2023-11-04                                          86.047112                                                                                      \n",
       "\n",
       "            E-Commerce Transactions: Value: Home & Garden: Furniture: SUM(Yes; Yes)+selected(517679167+517937427+517730607+517942807) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                         116.835334                                                                                                                                             \n",
       "2021-01-02                                         116.577731                                                                                                                                             \n",
       "2021-01-03                                         117.084026                                                                                                                                             \n",
       "2021-01-04                                         117.060469                                                                                                                                             \n",
       "2021-01-05                                         116.651261                                                                                                                                             \n",
       "...                                                       ...                                                                                                                                             \n",
       "2023-10-31                                         122.679980                                                                                                                                             \n",
       "2023-11-01                                         122.272610                                                                                                                                             \n",
       "2023-11-02                                         122.082598                                                                                                                                             \n",
       "2023-11-03                                         121.261542                                                                                                                                             \n",
       "2023-11-04                                         121.242993                                                                                                                                             \n",
       "\n",
       "            E-Commerce Transactions: Value: Hobbies & Leisure: Antiques & Collectibles: SUM(Yes; Yes)+selected(517939717+517949727+517888007+517790487+517729627) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                           7.208241                                                                                                                                                                         \n",
       "2021-01-02                                           7.032162                                                                                                                                                                         \n",
       "2021-01-03                                           6.873264                                                                                                                                                                         \n",
       "2021-01-04                                           6.701637                                                                                                                                                                         \n",
       "2021-01-05                                           6.413249                                                                                                                                                                         \n",
       "...                                                       ...                                                                                                                                                                         \n",
       "2023-10-31                                           4.108902                                                                                                                                                                         \n",
       "2023-11-01                                           4.121592                                                                                                                                                                         \n",
       "2023-11-02                                           4.134921                                                                                                                                                                         \n",
       "2023-11-03                                           4.153289                                                                                                                                                                         \n",
       "2023-11-04                                           4.151063                                                                                                                                                                         \n",
       "\n",
       "            E-Commerce Transactions: Value: Finance: Accounting & Auditing: SUM(Yes; Yes)+selected(517858397+517853537+517895247+517646077) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                           5.374980                                                                                                                                                   \n",
       "2021-01-02                                           5.360475                                                                                                                                                   \n",
       "2021-01-03                                           5.318463                                                                                                                                                   \n",
       "2021-01-04                                           5.566852                                                                                                                                                   \n",
       "2021-01-05                                           5.787353                                                                                                                                                   \n",
       "...                                                       ...                                                                                                                                                   \n",
       "2023-10-31                                           7.088199                                                                                                                                                   \n",
       "2023-11-01                                           7.125117                                                                                                                                                   \n",
       "2023-11-02                                           7.152567                                                                                                                                                   \n",
       "2023-11-03                                           7.152206                                                                                                                                                   \n",
       "2023-11-04                                           7.076414                                                                                                                                                   \n",
       "\n",
       "            E-Commerce Transactions: Value: E-Commerce & Shopping: Auctions: SUM(Yes; Yes)+selected(517883067+517929977+517748827+517721617+517892137+517823367+517794997+517675337) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                          96.105755                                                                                                                                                                                            \n",
       "2021-01-02                                          94.455511                                                                                                                                                                                            \n",
       "2021-01-03                                          92.925253                                                                                                                                                                                            \n",
       "2021-01-04                                          91.664159                                                                                                                                                                                            \n",
       "2021-01-05                                          89.630864                                                                                                                                                                                            \n",
       "...                                                       ...                                                                                                                                                                                            \n",
       "2023-10-31                                          43.334466                                                                                                                                                                                            \n",
       "2023-11-01                                          42.890193                                                                                                                                                                                            \n",
       "2023-11-02                                          42.559288                                                                                                                                                                                            \n",
       "2023-11-03                                          42.032469                                                                                                                                                                                            \n",
       "2023-11-04                                          41.613489                                                                                                                                                                                            \n",
       "\n",
       "            E-Commerce Transactions: Value: Health: Health: SUM(Yes; Yes)+selected(517936527+517674967+517816077+517884657+517820837) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                          43.596610                                                                                                                                             \n",
       "2021-01-02                                          44.307710                                                                                                                                             \n",
       "2021-01-03                                          45.659148                                                                                                                                             \n",
       "2021-01-04                                          46.648647                                                                                                                                             \n",
       "2021-01-05                                          47.800640                                                                                                                                             \n",
       "...                                                       ...                                                                                                                                             \n",
       "2023-10-31                                          76.919810                                                                                                                                             \n",
       "2023-11-01                                          75.825855                                                                                                                                             \n",
       "2023-11-02                                          75.025436                                                                                                                                             \n",
       "2023-11-03                                          72.980090                                                                                                                                             \n",
       "2023-11-04                                          72.202275                                                                                                                                             \n",
       "\n",
       "            E-Commerce Transactions: Value: Business & Consumer Services: Business & Consumer Services: SUM(Yes; Yes)+selected(517894377+517940757+517830067+517652687+517789187+517728437+517722737) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                         346.948430                                                                                                                                                                                                             \n",
       "2021-01-02                                         328.163545                                                                                                                                                                                                             \n",
       "2021-01-03                                         313.093623                                                                                                                                                                                                             \n",
       "2021-01-04                                         329.222227                                                                                                                                                                                                             \n",
       "2021-01-05                                         346.500751                                                                                                                                                                                                             \n",
       "...                                                       ...                                                                                                                                                                                                             \n",
       "2023-10-31                                         381.170942                                                                                                                                                                                                             \n",
       "2023-11-01                                         391.103518                                                                                                                                                                                                             \n",
       "2023-11-02                                         399.468339                                                                                                                                                                                                             \n",
       "2023-11-03                                         405.160143                                                                                                                                                                                                             \n",
       "2023-11-04                                         394.093846                                                                                                                                                                                                             \n",
       "\n",
       "            E-Commerce Transactions: Value: Heavy Industry & Engineering: Chemical Industry: SUM(Yes; Yes)+selected(517719137+517742107+517894387) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \\\n",
       "2021-01-01                                           0.930239                                                                                                                                                          \n",
       "2021-01-02                                           0.889900                                                                                                                                                          \n",
       "2021-01-03                                           0.863058                                                                                                                                                          \n",
       "2021-01-04                                           0.931025                                                                                                                                                          \n",
       "2021-01-05                                           0.965974                                                                                                                                                          \n",
       "...                                                       ...                                                                                                                                                          \n",
       "2023-10-31                                           1.074209                                                                                                                                                          \n",
       "2023-11-01                                           1.017864                                                                                                                                                          \n",
       "2023-11-02                                           1.009903                                                                                                                                                          \n",
       "2023-11-03                                           0.970539                                                                                                                                                          \n",
       "2023-11-04                                           0.949268                                                                                                                                                          \n",
       "\n",
       "            E-Commerce Transactions: Average Order Value (AOV): MOVAV(Simple; 14) > DATE_RANGE(2021-01-01; none)  \\\n",
       "2021-01-01                                         126.168118                                                      \n",
       "2021-01-02                                         124.640637                                                      \n",
       "2021-01-03                                         123.433264                                                      \n",
       "2021-01-04                                         122.402474                                                      \n",
       "2021-01-05                                         122.009725                                                      \n",
       "...                                                       ...                                                      \n",
       "2023-10-31                                         151.307841                                                      \n",
       "2023-11-01                                         151.112248                                                      \n",
       "2023-11-02                                         151.147249                                                      \n",
       "2023-11-03                                         151.238284                                                      \n",
       "2023-11-04                                         151.123806                                                      \n",
       "\n",
       "            E-Commerce Transactions: Value: Law & Government: Government: SUM(Yes; Yes)+selected(517660017+517843877) > ROLLSUM(30) > UNIT_MULTIPLIER(Million; Convert all multipliers)  \n",
       "2021-01-01                                           0.009245                                                                                                                            \n",
       "2021-01-02                                           0.008852                                                                                                                            \n",
       "2021-01-03                                           0.008575                                                                                                                            \n",
       "2021-01-04                                           0.009717                                                                                                                            \n",
       "2021-01-05                                           0.010479                                                                                                                            \n",
       "...                                                       ...                                                                                                                            \n",
       "2023-10-31                                           0.036531                                                                                                                            \n",
       "2023-11-01                                           0.036172                                                                                                                            \n",
       "2023-11-02                                           0.036404                                                                                                                            \n",
       "2023-11-03                                           0.036641                                                                                                                            \n",
       "2023-11-04                                           0.036197                                                                                                                            \n",
       "\n",
       "[1038 rows x 17 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grips_result_d, grips_result_w, grips_result_m = get_series_to_df(grips_series,grips_series_date)\n",
    "grips_result_d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "6c08ac26",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecom_value_2021 = grips_result_d.loc['2021-01-01':'2021-12-31','E-Commerce Transactions: Value: MOVAV(Simple; 14) > UNIT_MULTIPLIER(Million; Convert all multipliers) > DATE_RANGE(2021-01-01; none)']\n",
    "ecom_value_2022 = grips_result_d.loc['2022-01-01':'2022-12-31','E-Commerce Transactions: Value: MOVAV(Simple; 14) > UNIT_MULTIPLIER(Million; Convert all multipliers) > DATE_RANGE(2021-01-01; none)']\n",
    "ecom_value_2023 = grips_result_d.loc['2023-01-01':,'E-Commerce Transactions: Value: MOVAV(Simple; 14) > UNIT_MULTIPLIER(Million; Convert all multipliers) > DATE_RANGE(2021-01-01; none)']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "420bb1e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2022-01-01    103.248756\n",
       "2022-01-02    102.915679\n",
       "2022-01-03    102.649507\n",
       "2022-01-04    102.243958\n",
       "2022-01-05    102.919266\n",
       "                 ...    \n",
       "2022-12-27    111.437456\n",
       "2022-12-28    106.998041\n",
       "2022-12-29    103.579822\n",
       "2022-12-30    100.168473\n",
       "2022-12-31     97.509568\n",
       "Name: E-Commerce Transactions: Value: MOVAV(Simple; 14) > UNIT_MULTIPLIER(Million; Convert all multipliers) > DATE_RANGE(2021-01-01; none), Length: 365, dtype: float64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ecom_value_2022"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dea1932",
   "metadata": {},
   "source": [
    "### Animation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "3f890857",
   "metadata": {
    "scrolled": false
   },
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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 src=\"data:image/png;base64,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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El tiempo de ejecución fue: 206.2366442680359 segundos\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "\n",
    "# Add title\n",
    "title = ax.set_title('Consumption in the US Underperfoms in 2023 Despite Approaching Holidays', pad=20, \n",
    "                     fontsize=15, font='roboto', weight='bold', color='#884b8f')\n",
    "\n",
    "# Add subtitle\n",
    "subtitle = ax.annotate('Daily E-Commerce Transactions Value, USD mn, 2021, 2022, 2023',xy=(0.5,1.02), xytext=(0,0), \n",
    "                       xycoords='axes fraction', textcoords='offset points', ha='center', fontsize=8, \n",
    "                       color='grey')\n",
    "\n",
    "# Label each axis \n",
    "ax.set_ylabel('USD mn', color='#707070')\n",
    "\n",
    "# Add CEIC logo\n",
    "# Import logo in .png\n",
    "im = r'C:\\Users\\necheverry\\OneDrive - Internet Securities, LLC\\Documents\\Documentos\\CEIC\\Scripts\\Python\\ceic_logo_png-sinfondo.png'\n",
    "img = mpimg.imread(im)\n",
    "\n",
    "# Define the coordinates where the logo will be displayed\n",
    "# The coordinates mean: left, bottom, width and height\n",
    "ax_img = fig.add_axes([0.9, -0.035, 0.08, 0.08], anchor='NE', xticks=[], yticks=[], frame_on=False)\n",
    "ax_img.imshow(img)\n",
    "\n",
    "# Ticks\n",
    "ax.yaxis.set_major_locator(ticker.MaxNLocator(nbins=5))\n",
    "ax.xaxis.set_major_locator(ticker.MaxNLocator(nbins=20))\n",
    "\n",
    "#Set the limits and the ticks for X axis and the date format\n",
    "# ax.xaxis.set_major_locator(ticker.MaxNLocator(nbins=8))\n",
    "# ax.xaxis.set_major_formatter(DateFormatter('%Y-%m'))\n",
    "\n",
    "# Add gridlines\n",
    "ax.grid(color='grey', alpha=0.1, linestyle='--')\n",
    "\n",
    "# # Set the limits for the Y axis\n",
    "# min_date = datetime.strptime('2021-06-01', '%Y-%m-%d')\n",
    "# max_date = datetime.strptime('2023-08-15', '%Y-%m-%d')\n",
    "\n",
    "# Set the limits for the Y axis\n",
    "ax.set_ylim([40, 200])\n",
    "ax.set_xlim([1,366])\n",
    "\n",
    "# Creat an index from 1 to 365\n",
    "ind = list(range(0,365))\n",
    "ind2023 = len(ecom_value_2023)\n",
    "\n",
    "extra_frames = 90\n",
    "\n",
    "# Extiende la lista 'ind' con el último valor repetido\n",
    "ind_extended = ind + [ind[-1]] * extra_frames\n",
    "\n",
    "# Initialize the lines\n",
    "line, = ax.plot([], [], color= '#2b60d0', linestyle='-', label='2021')\n",
    "line2, = ax.plot([], [], color= '#d6006e', linestyle='-', label='2022')\n",
    "line3, = ax.plot([], [], color= '#000000', linestyle='-', label='2023')\n",
    "\n",
    "#Legend\n",
    "# ax.legend(loc='lower right', ncol=2, edgecolor='none')\n",
    "\n",
    "annotations_info = [\n",
    "    {\n",
    "        'date': 200,\n",
    "        'props': {\n",
    "            'text': 'July 4th and start of \\nSummer Holiday season',\n",
    "            'xy': (0.52, 0.58),\n",
    "            'xytext': (-40, 30),\n",
    "            'xycoords': 'axes fraction',\n",
    "            'textcoords': 'offset points',\n",
    "            'fontsize': 10,\n",
    "            'ha': 'center',\n",
    "            'va': 'baseline',\n",
    "            'color': 'black',\n",
    "            'weight': 'normal',\n",
    "            'arrowprops': {\n",
    "                'arrowstyle': '->',\n",
    "                'color': 'grey'\n",
    "            }\n",
    "        },\n",
    "        'visible': False,  # This flag will indicate whether the annotation should be visible\n",
    "    },\n",
    "    {\n",
    "        'date': 345,\n",
    "        'props': {\n",
    "            'text': 'Thanksgiving and Black Friday \\nRelated Spending Surge',\n",
    "            'xy': (0.9, 0.8),\n",
    "            'xytext': (-100, 40),\n",
    "            'xycoords': 'axes fraction',\n",
    "            'textcoords': 'offset points',\n",
    "            'fontsize': 10,\n",
    "            'ha': 'center',\n",
    "            'va': 'top',\n",
    "            'color': 'black',\n",
    "            'weight': 'normal',\n",
    "            'arrowprops': {\n",
    "                'arrowstyle': '->',\n",
    "                'color': 'grey'\n",
    "            }\n",
    "        },\n",
    "        'visible': False,  # This flag will indicate whether the annotation should be visible\n",
    "    },\n",
    "    {\n",
    "        'date': 50,\n",
    "        'props': {\n",
    "            'text': '2021',\n",
    "            'xy': (0.1, 0.25),\n",
    "            'xytext': (0, 0),\n",
    "            'xycoords': 'axes fraction',\n",
    "            'textcoords': 'offset points',\n",
    "            'fontsize': 10,\n",
    "            'ha': 'left',\n",
    "            'va': 'top',\n",
    "            'color': '#2b60d0',\n",
    "            'weight': 'bold'\n",
    "        },\n",
    "        'visible': False,  # This flag will indicate whether the annotation should be visible\n",
    "    },\n",
    "    {\n",
    "        'date': 180,\n",
    "        'props': {\n",
    "            'text': '2022',\n",
    "            'xy': (0.45, 0.5),\n",
    "            'xytext': (0, 0),\n",
    "            'xycoords': 'axes fraction',\n",
    "            'textcoords': 'offset points',\n",
    "            'fontsize': 10,\n",
    "            'ha': 'left',\n",
    "            'va': 'top',\n",
    "            'color': '#d6006e',\n",
    "            'weight': 'bold'\n",
    "        },\n",
    "        'visible': False,  # This flag will indicate whether the annotation should be visible\n",
    "    },\n",
    "        {\n",
    "        'date': 320,\n",
    "        'props': {\n",
    "            'text': '2023',\n",
    "            'xy': (0.85, 0.25),\n",
    "            'xytext': (0, 0),\n",
    "            'xycoords': 'axes fraction',\n",
    "            'textcoords': 'offset points',\n",
    "            'fontsize': 10,\n",
    "            'ha': 'left',\n",
    "            'va': 'top',\n",
    "            'color': 'black',\n",
    "            'weight': 'bold'\n",
    "        },\n",
    "        'visible': False,  # This flag will indicate whether the annotation should be visible\n",
    "    }\n",
    "]\n",
    "\n",
    "# Create the annotations and store them in a list\n",
    "annotations = [ax.annotate(**info['props'], visible=info['visible']) for info in annotations_info]\n",
    "\n",
    "def init():  # Initialization function\n",
    "    line.set_data([], [])\n",
    "    line2.set_data([], [])\n",
    "    line3.set_data([], [])\n",
    "    \n",
    "    for annotation in annotations:\n",
    "        annotation.set_visible(False)\n",
    "        \n",
    "    return line, line2, line3\n",
    "\n",
    "def animate(i):\n",
    "    index = min(i, len(ecom_value_2021) - 1)  # Asegúrate de no exceder el índice máximo\n",
    "    line.set_data(ind[:index], ecom_value_2021.iloc[:index])\n",
    "    line2.set_data(ind[:index], ecom_value_2022.iloc[:index])\n",
    "    \n",
    "    if i < len(ecom_value_2023):\n",
    "        line3.set_data(ind[:i], ecom_value_2023.iloc[:i])\n",
    "    else:\n",
    "        line3.set_data(ind[:len(ecom_value_2023)], ecom_value_2023.iloc[:])\n",
    "\n",
    "    # Actualiza las anotaciones\n",
    "    current_point = ind[i]\n",
    "    for annotation, info in zip(annotations, annotations_info):\n",
    "        if current_point >= info['date'] and not annotation.get_visible():\n",
    "            annotation.set_visible(True)\n",
    "            \n",
    "    return line, line2, line3\n",
    "\n",
    "\n",
    "#Animation\n",
    "ani = FuncAnimation(fig=fig, func=animate, frames=(ind_extended), init_func=init, blit=False, interval=1)\n",
    "\n",
    "plt.show()\n",
    "# # Save as mp4\n",
    "f = r\"grips-chart-animation.mp4\"\n",
    "writervideo = animation.FFMpegWriter(fps=30) \n",
    "ani.save(f, writer=writervideo, dpi=300)\n",
    "\n",
    "#Save as gif\n",
    "f = r\"grips-chart-animation.gif\" \n",
    "writergif = animation.PillowWriter(fps=300) \n",
    "ani.save(f, writer=writergif, dpi=300)\n",
    "\n",
    "end_time = time.time()\n",
    "\n",
    "print(f\"El tiempo de ejecución fue: {end_time - start_time} segundos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adf7ccf0",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}