Exploratory - CDC Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from chart_studio.plotly import image as PlotlyImage\n",
    "from PIL import Image as PILImage\n",
    "import io\n",
    "import chart_studio\n",
    "from IPython.display import Image\n",
    "import random\n",
    "\n",
    "rawdata = pd.read_csv('https://data.cdc.gov/api/views/u6jv-9ijr/rows.csv?accessType=DOWNLOAD&bom=true&format=true%20target=')\n",
    "\n",
    "rawdata = rawdata[rawdata['Jurisdiction'] != 'United States']\n",
    "\n",
    "us_state_abbrev = {\n",
    "    'Alabama': 'AL',\n",
    "    'Alaska': 'AK',\n",
    "    'American Samoa': 'AS',\n",
    "    'Arizona': 'AZ',\n",
    "    'Arkansas': 'AR',\n",
    "    'California': 'CA',\n",
    "    'Colorado': 'CO',\n",
    "    'Connecticut': 'CT',\n",
    "    'Delaware': 'DE',\n",
    "    'District of Columbia': 'DC',\n",
    "    'Florida': 'FL',\n",
    "    'Georgia': 'GA',\n",
    "    'Guam': 'GU',\n",
    "    'Hawaii': 'HI',\n",
    "    'Idaho': 'ID',\n",
    "    'Illinois': 'IL',\n",
    "    'Indiana': 'IN',\n",
    "    'Iowa': 'IA',\n",
    "    'Kansas': 'KS',\n",
    "    'Kentucky': 'KY',\n",
    "    'Louisiana': 'LA',\n",
    "    'Maine': 'ME',\n",
    "    'Maryland': 'MD',\n",
    "    'Massachusetts': 'MA',\n",
    "    'Michigan': 'MI',\n",
    "    'Minnesota': 'MN',\n",
    "    'Mississippi': 'MS',\n",
    "    'Missouri': 'MO',\n",
    "    'Montana': 'MT',\n",
    "    'Nebraska': 'NE',\n",
    "    'Nevada': 'NV',\n",
    "    'New Hampshire': 'NH',\n",
    "    'New Jersey': 'NJ',\n",
    "    'New Mexico': 'NM',\n",
    "    'New York': 'NY',\n",
    "    'North Carolina': 'NC',\n",
    "    'North Dakota': 'ND',\n",
    "    'Northern Mariana Islands':'MP',\n",
    "    'Ohio': 'OH',\n",
    "    'Oklahoma': 'OK',\n",
    "    'Oregon': 'OR',\n",
    "    'Pennsylvania': 'PA',\n",
    "    'Puerto Rico': 'PR',\n",
    "    'Rhode Island': 'RI',\n",
    "    'South Carolina': 'SC',\n",
    "    'South Dakota': 'SD',\n",
    "    'Tennessee': 'TN',\n",
    "    'Texas': 'TX',\n",
    "    'Utah': 'UT',\n",
    "    'Vermont': 'VT',\n",
    "    'Virgin Islands': 'VI',\n",
    "    'Virginia': 'VA',\n",
    "    'Washington': 'WA',\n",
    "    'West Virginia': 'WV',\n",
    "    'Wisconsin': 'WI',\n",
    "    'Wyoming': 'WY'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_pivottable():\n",
    "    gte2020 = rawdata[rawdata['Year'] == 2020].groupby(['Jurisdiction', 'Week'])[['Number of Deaths']].sum()\n",
    "    maxweek = gte2020.reset_index()['Week'].max()\n",
    "    lt2020 = rawdata[(rawdata['Year'] < 2020) & (rawdata['Week'] <= maxweek)].groupby(['Jurisdiction', 'Year', 'Week']).sum()[['Number of Deaths']].groupby(['Jurisdiction', 'Week']).mean()#.rename(columns={'Number of Deaths': 'Avg'})\n",
    "\n",
    "    compareData = lt2020.copy().rename(columns={'Number of Deaths':'Average'})\n",
    "\n",
    "    compareData['2020'] = gte2020['Number of Deaths']\n",
    "\n",
    "    compareData = compareData.fillna(0)\n",
    "\n",
    "    compareData['Difference'] = (compareData['2020'].div(compareData['Average']) * 100) - 100\n",
    "\n",
    "    compareData = compareData.reset_index()\n",
    "\n",
    "    pivottable = compareData.pivot(index='Week', columns='Jurisdiction', values='Difference')\n",
    "\n",
    "    pivottable['Week Ending'] = pd.to_datetime(rawdata[rawdata['Year'] == 2020].groupby(['Week'])['Week Ending Date'].max())\n",
    "    pivottable = pivottable.reset_index().set_index('Week Ending').drop(['Week'], axis=1)\n",
    "    return pivottable\n",
    "\n",
    "def get_normalized_excess_deaths():\n",
    "    pivottable = get_pivottable()\n",
    "    states = pivottable.columns\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(15,20))  \n",
    "\n",
    "    pvt2 = pivottable.copy()\n",
    "    pvt2['New York'] = pvt2['New York'] + pvt2['New York City']\n",
    "    pvt2 = pvt2.drop(['New York City'], axis=1)\n",
    "\n",
    "    df_norm_col=(pvt2-pvt2.mean())/pvt2.std()\n",
    "    df_norm_col_2 = df_norm_col.reindex(df_norm_col.idxmax().sort_values().index, axis=1)\n",
    "\n",
    "    df_norm_col_2 = df_norm_col_2.rolling(window=3).mean().dropna()\n",
    "\n",
    "    sns.heatmap(df_norm_col_2.transpose(), xticklabels=True, yticklabels=True, ax=ax, cbar=False, linewidths=2, linecolor='white', cmap=\"Reds\")\n",
    "    x_dates = df_norm_col_2.index.strftime('%Y-%m-%d').sort_values().unique()\n",
    "\n",
    "    ax.set_xticklabels(labels=x_dates, rotation=45, ha='right')\n",
    "    ax.set_ylabel('')\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_title('Normalized Excess Deaths, 2020 vs 2015-2019', size=30, pad=20)\n",
    "\n",
    "    plt.annotate('Reported deaths per week in 2020 vs the same time period\\'s average in 2015-2019, and sorted by peak. Source: CDC', (0,0), (100, -70), xycoords='axes fraction', textcoords='offset points', va='top')\n",
    "\n",
    "def get_gif_map():\n",
    "    pivottable = get_pivottable()\n",
    "    pivottable2 = pivottable.copy()\n",
    "\n",
    "    pivottable2 = pivottable2.rename(columns=us_state_abbrev)\n",
    "\n",
    "\n",
    "    sortedvalues = np.sort(pivottable2.values.flatten().flatten())\n",
    "    mx = max(sortedvalues)\n",
    "    rg = max(sortedvalues) - min(sortedvalues)\n",
    "    mn = min(sortedvalues)\n",
    "    pivottable3 = (pivottable2 - mn).div(rg)\n",
    "    pivottable3 = pivottable3.resample(rule='8H').asfreq().interpolate()\n",
    "\n",
    "    bins = pd.qcut(sortedvalues, q=8, retbins=True)[1]\n",
    "    bins = (bins - bins.min()) / (bins.max() - bins.min())\n",
    "\n",
    "    colorscale = list(zip(bins, getattr(px.colors.sequential, 'Reds')))\n",
    "\n",
    "    images = []\n",
    "\n",
    "    for i in np.arange(0, pivottable3.shape[0]):\n",
    "\n",
    "        data = pivottable3.iloc[i]\n",
    "        fig = go.Figure(\n",
    "            data=go.Choropleth(\n",
    "                locations=data.index,\n",
    "                z = data,\n",
    "                locationmode = 'USA-states',\n",
    "                colorscale = colorscale,\n",
    "                showscale=False,\n",
    "                zmin=0,\n",
    "                zmax=1\n",
    "            )\n",
    "        )\n",
    "\n",
    "\n",
    "        fig.update_layout(\n",
    "            title= {\n",
    "                \"text\":'Daily Excess Deaths ' + data.name.strftime('%-m-%-d-%Y'),\n",
    "                'xanchor': 'center',\n",
    "                'x':0.5\n",
    "            },\n",
    "            font=dict(\n",
    "                size=18\n",
    "            ),\n",
    "            geo_scope='usa', # limite map scope to USA\n",
    "            annotations=[\n",
    "               go.layout.Annotation(\n",
    "                    showarrow=False,\n",
    "                    text='Source: CDC Excess Deaths (https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm)',\n",
    "                    xanchor='center',\n",
    "                    x=.5,\n",
    "                    yanchor='bottom',\n",
    "                    y=-0.2,\n",
    "                    font=dict(\n",
    "                        size=12\n",
    "                    )\n",
    "            ),\n",
    "            go.layout.Annotation(\n",
    "                    showarrow=False,\n",
    "                    text='Darker colors indicate a higher death rate for 2020 when compared to the same time period in 2015-2019',\n",
    "                    xanchor='center',\n",
    "                    x=0.5,\n",
    "                    yanchor='bottom',\n",
    "                    y=-0.15,\n",
    "                    font=dict(\n",
    "                        size=12\n",
    "                    ))]\n",
    "        )\n",
    "\n",
    "\n",
    "        img_bytes = fig.to_image(format='png')\n",
    "        image = PILImage.open(io.BytesIO(img_bytes))\n",
    "        #image.save(\"gifdata/\"+str(data.name).replace(':', '-')+\".png\")\n",
    "\n",
    "        images.append(image)\n",
    "        if i == pivottable3.shape[0] - 1:\n",
    "            for i in np.arange(0,40):\n",
    "                images.append(image)\n",
    "\n",
    "    url = 'covid19-case.gif'\n",
    "    images[0].save(url,\n",
    "                   save_all=True, append_images=images[1:], optimize=True, duration=75, loop=0)\n",
    "    return url + \"?c=\" + str(random.randint(0,2e9))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"covid19-case.gif?c=670579907\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = get_gif_map()\n",
    "Image(url=url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_normalized_excess_deaths()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}