Waterfall.ipynb

Waterfall plot.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "<div style=\"width: 100%; overflow: hidden;\">\n    <div style=\"width: 150px; float: left;\"> <img src=\"https://raw.githubusercontent.com/DataForScience/Networks/master/data/D4Sci_logo_ball.png\" alt=\"Data For Science, Inc\" align=\"left\" border=\"0\" width=150px> </div>\n    <div style=\"float: left; margin-left: 10px;\"> <h1>Waterfall plot</h1>\n        <p>Bruno Gonçalves<br/>\n        <a href=\"http://www.data4sci.com/\">www.data4sci.com</a><br/>\n            @bgoncalves, @data4sci</p></div>\n</div>"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "from collections import Counter\nfrom pprint import pprint\n\nimport pandas as pd\nimport numpy as np\n\nimport matplotlib\nimport matplotlib.pyplot as plt \n\nimport tqdm as tq\nfrom tqdm import tqdm\n\nimport watermark\n\n%load_ext watermark\n%matplotlib inline",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "We start by print out the versions of the libraries we're using for future reference"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "%watermark -n -v -m -g -iv",
      "execution_count": 2,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Python implementation: CPython\nPython version       : 3.8.5\nIPython version      : 7.19.0\n\nCompiler    : Clang 10.0.0 \nOS          : Darwin\nRelease     : 22.3.0\nMachine     : x86_64\nProcessor   : i386\nCPU cores   : 16\nArchitecture: 64bit\n\nGit hash: 46a933144768e79c6b180681141e8854607a4819\n\ntqdm      : 4.62.0\nnumpy     : 1.19.2\npandas    : 1.1.3\nmatplotlib: 3.3.2\nwatermark : 2.1.0\njson      : 2.0.9\n\n"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Code"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "We start by downloading the data for 2019 and 2020 directly from the [Bureau of Economic Analysis](https://www.bea.gov/) website. We'll focus on Table 14: \"Gross Domestic Product by Industry Group: Level and Change from Preceding Period\" as that includes the year to year change."
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "data = pd.read_excel('https://www.bea.gov/sites/default/files/2020-09/gdp2q20_3rd.xlsx',\n                     sheet_name='Table 14', skiprows=2, header=[0, 1, 2]\n                    ).dropna()",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Set the index to be the category names"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "data.set_index(data.columns[1], inplace=True)",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Select the columns we're interested in"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "select_columns = [col for col in data.columns\n                  if col[0] == 'Seasonally adjusted at annual rates'\n                 and col[2][-2] != '.' ]\n\nseasonal = data[select_columns].copy()",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Clean the column names"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "column_names = [str(col[1])+'.'+col[2] for col in data.columns \n                  if col[0] == 'Seasonally adjusted at annual rates'\n                 and col[2][-2] != '.']",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Rename the columns"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "seasonal.columns=column_names\nseasonal.index.name=None",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Remove subtotal rows"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "subtotals=[\n    'Private industries', \n    'Manufacturing', \n    'Finance, insurance, real estate, rental, and leasing',\n    'Professional and business services',\n    'Educational services, health care, and social assistance',\n    'Arts, entertainment, recreation, accommodation, and food services',\n    'Government',\n    'Private goods-producing industries 1',\n    'Private services-producing industries 2'\n]\n\nseasonal.drop(index=subtotals, inplace=True)",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Keep only the columns we will use:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "seasonal = seasonal[['2019.Q2', '2020.Q2']].copy()",
      "execution_count": 9,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "And compute the change between them"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "seasonal['diff'] = seasonal[['2019.Q2', '2020.Q2']].apply(lambda x:x[1]-x[0], axis=1)\nseasonal",
      "execution_count": 10,
      "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>2019.Q2</th>\n      <th>2020.Q2</th>\n      <th>diff</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Gross domestic product</th>\n      <td>21329.9</td>\n      <td>19520.1</td>\n      <td>-1809.8</td>\n    </tr>\n    <tr>\n      <th>Agriculture, forestry, fishing, and hunting</th>\n      <td>172.8</td>\n      <td>142.4</td>\n      <td>-30.4</td>\n    </tr>\n    <tr>\n      <th>Mining</th>\n      <td>319.2</td>\n      <td>136.3</td>\n      <td>-182.9</td>\n    </tr>\n    <tr>\n      <th>Utilities</th>\n      <td>332.7</td>\n      <td>333.2</td>\n      <td>0.5</td>\n    </tr>\n    <tr>\n      <th>Construction</th>\n      <td>887.4</td>\n      <td>853.7</td>\n      <td>-33.7</td>\n    </tr>\n    <tr>\n      <th>Durable goods</th>\n      <td>1319.2</td>\n      <td>1145.5</td>\n      <td>-173.7</td>\n    </tr>\n    <tr>\n      <th>Nondurable goods</th>\n      <td>1021.5</td>\n      <td>908.2</td>\n      <td>-113.3</td>\n    </tr>\n    <tr>\n      <th>Wholesale trade</th>\n      <td>1253.8</td>\n      <td>1111.9</td>\n      <td>-141.9</td>\n    </tr>\n    <tr>\n      <th>Retail trade</th>\n      <td>1156.0</td>\n      <td>1102.1</td>\n      <td>-53.9</td>\n    </tr>\n    <tr>\n      <th>Transportation and warehousing</th>\n      <td>690.7</td>\n      <td>520.2</td>\n      <td>-170.5</td>\n    </tr>\n    <tr>\n      <th>Information</th>\n      <td>1122.3</td>\n      <td>1115.7</td>\n      <td>-6.6</td>\n    </tr>\n    <tr>\n      <th>Finance and insurance</th>\n      <td>1663.7</td>\n      <td>1699.8</td>\n      <td>36.1</td>\n    </tr>\n    <tr>\n      <th>Real estate and rental and leasing</th>\n      <td>2859.6</td>\n      <td>2864.8</td>\n      <td>5.2</td>\n    </tr>\n    <tr>\n      <th>Professional, scientific, and technical services</th>\n      <td>1624.9</td>\n      <td>1547.4</td>\n      <td>-77.5</td>\n    </tr>\n    <tr>\n      <th>Management of companies and enterprises</th>\n      <td>412.2</td>\n      <td>397.6</td>\n      <td>-14.6</td>\n    </tr>\n    <tr>\n      <th>Administrative and waste management services</th>\n      <td>656.1</td>\n      <td>579.9</td>\n      <td>-76.2</td>\n    </tr>\n    <tr>\n      <th>Educational services</th>\n      <td>267.9</td>\n      <td>244.6</td>\n      <td>-23.3</td>\n    </tr>\n    <tr>\n      <th>Health care and social assistance</th>\n      <td>1585.6</td>\n      <td>1374.9</td>\n      <td>-210.7</td>\n    </tr>\n    <tr>\n      <th>Arts, entertainment, and recreation</th>\n      <td>236.3</td>\n      <td>98.2</td>\n      <td>-138.1</td>\n    </tr>\n    <tr>\n      <th>Accommodation and food services</th>\n      <td>664.0</td>\n      <td>378.1</td>\n      <td>-285.9</td>\n    </tr>\n    <tr>\n      <th>Other services, except government</th>\n      <td>458.1</td>\n      <td>371.0</td>\n      <td>-87.1</td>\n    </tr>\n    <tr>\n      <th>Federal</th>\n      <td>809.8</td>\n      <td>837.7</td>\n      <td>27.9</td>\n    </tr>\n    <tr>\n      <th>State and local</th>\n      <td>1816.3</td>\n      <td>1756.9</td>\n      <td>-59.4</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                                                  2019.Q2  2020.Q2    diff\nGross domestic product                            21329.9  19520.1 -1809.8\nAgriculture, forestry, fishing, and hunting         172.8    142.4   -30.4\nMining                                              319.2    136.3  -182.9\nUtilities                                           332.7    333.2     0.5\nConstruction                                        887.4    853.7   -33.7\nDurable goods                                      1319.2   1145.5  -173.7\nNondurable goods                                   1021.5    908.2  -113.3\nWholesale trade                                    1253.8   1111.9  -141.9\nRetail trade                                       1156.0   1102.1   -53.9\nTransportation and warehousing                      690.7    520.2  -170.5\nInformation                                        1122.3   1115.7    -6.6\nFinance and insurance                              1663.7   1699.8    36.1\nReal estate and rental and leasing                 2859.6   2864.8     5.2\nProfessional, scientific, and technical services   1624.9   1547.4   -77.5\nManagement of companies and enterprises             412.2    397.6   -14.6\nAdministrative and waste management services        656.1    579.9   -76.2\nEducational services                                267.9    244.6   -23.3\nHealth care and social assistance                  1585.6   1374.9  -210.7\nArts, entertainment, and recreation                 236.3     98.2  -138.1\nAccommodation and food services                     664.0    378.1  -285.9\nOther services, except government                   458.1    371.0   -87.1\nFederal                                             809.8    837.7    27.9\nState and local                                    1816.3   1756.9   -59.4"
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Append the total values at the bottom of the DataFrame"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "seasonal = pd.concat([seasonal, seasonal.iloc[[0]]], axis=0)",
      "execution_count": 11,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Update the row names"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "row_names = list(seasonal.index)\nrow_names[0] = '2019'\nrow_names[-1] = '2020'\nseasonal.index=row_names\n\nseasonal",
      "execution_count": 12,
      "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>2019.Q2</th>\n      <th>2020.Q2</th>\n      <th>diff</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2019</th>\n      <td>21329.9</td>\n      <td>19520.1</td>\n      <td>-1809.8</td>\n    </tr>\n    <tr>\n      <th>Agriculture, forestry, fishing, and hunting</th>\n      <td>172.8</td>\n      <td>142.4</td>\n      <td>-30.4</td>\n    </tr>\n    <tr>\n      <th>Mining</th>\n      <td>319.2</td>\n      <td>136.3</td>\n      <td>-182.9</td>\n    </tr>\n    <tr>\n      <th>Utilities</th>\n      <td>332.7</td>\n      <td>333.2</td>\n      <td>0.5</td>\n    </tr>\n    <tr>\n      <th>Construction</th>\n      <td>887.4</td>\n      <td>853.7</td>\n      <td>-33.7</td>\n    </tr>\n    <tr>\n      <th>Durable goods</th>\n      <td>1319.2</td>\n      <td>1145.5</td>\n      <td>-173.7</td>\n    </tr>\n    <tr>\n      <th>Nondurable goods</th>\n      <td>1021.5</td>\n      <td>908.2</td>\n      <td>-113.3</td>\n    </tr>\n    <tr>\n      <th>Wholesale trade</th>\n      <td>1253.8</td>\n      <td>1111.9</td>\n      <td>-141.9</td>\n    </tr>\n    <tr>\n      <th>Retail trade</th>\n      <td>1156.0</td>\n      <td>1102.1</td>\n      <td>-53.9</td>\n    </tr>\n    <tr>\n      <th>Transportation and warehousing</th>\n      <td>690.7</td>\n      <td>520.2</td>\n      <td>-170.5</td>\n    </tr>\n    <tr>\n      <th>Information</th>\n      <td>1122.3</td>\n      <td>1115.7</td>\n      <td>-6.6</td>\n    </tr>\n    <tr>\n      <th>Finance and insurance</th>\n      <td>1663.7</td>\n      <td>1699.8</td>\n      <td>36.1</td>\n    </tr>\n    <tr>\n      <th>Real estate and rental and leasing</th>\n      <td>2859.6</td>\n      <td>2864.8</td>\n      <td>5.2</td>\n    </tr>\n    <tr>\n      <th>Professional, scientific, and technical services</th>\n      <td>1624.9</td>\n      <td>1547.4</td>\n      <td>-77.5</td>\n    </tr>\n    <tr>\n      <th>Management of companies and enterprises</th>\n      <td>412.2</td>\n      <td>397.6</td>\n      <td>-14.6</td>\n    </tr>\n    <tr>\n      <th>Administrative and waste management services</th>\n      <td>656.1</td>\n      <td>579.9</td>\n      <td>-76.2</td>\n    </tr>\n    <tr>\n      <th>Educational services</th>\n      <td>267.9</td>\n      <td>244.6</td>\n      <td>-23.3</td>\n    </tr>\n    <tr>\n      <th>Health care and social assistance</th>\n      <td>1585.6</td>\n      <td>1374.9</td>\n      <td>-210.7</td>\n    </tr>\n    <tr>\n      <th>Arts, entertainment, and recreation</th>\n      <td>236.3</td>\n      <td>98.2</td>\n      <td>-138.1</td>\n    </tr>\n    <tr>\n      <th>Accommodation and food services</th>\n      <td>664.0</td>\n      <td>378.1</td>\n      <td>-285.9</td>\n    </tr>\n    <tr>\n      <th>Other services, except government</th>\n      <td>458.1</td>\n      <td>371.0</td>\n      <td>-87.1</td>\n    </tr>\n    <tr>\n      <th>Federal</th>\n      <td>809.8</td>\n      <td>837.7</td>\n      <td>27.9</td>\n    </tr>\n    <tr>\n      <th>State and local</th>\n      <td>1816.3</td>\n      <td>1756.9</td>\n      <td>-59.4</td>\n    </tr>\n    <tr>\n      <th>2020</th>\n      <td>21329.9</td>\n      <td>19520.1</td>\n      <td>-1809.8</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                                                  2019.Q2  2020.Q2    diff\n2019                                              21329.9  19520.1 -1809.8\nAgriculture, forestry, fishing, and hunting         172.8    142.4   -30.4\nMining                                              319.2    136.3  -182.9\nUtilities                                           332.7    333.2     0.5\nConstruction                                        887.4    853.7   -33.7\nDurable goods                                      1319.2   1145.5  -173.7\nNondurable goods                                   1021.5    908.2  -113.3\nWholesale trade                                    1253.8   1111.9  -141.9\nRetail trade                                       1156.0   1102.1   -53.9\nTransportation and warehousing                      690.7    520.2  -170.5\nInformation                                        1122.3   1115.7    -6.6\nFinance and insurance                              1663.7   1699.8    36.1\nReal estate and rental and leasing                 2859.6   2864.8     5.2\nProfessional, scientific, and technical services   1624.9   1547.4   -77.5\nManagement of companies and enterprises             412.2    397.6   -14.6\nAdministrative and waste management services        656.1    579.9   -76.2\nEducational services                                267.9    244.6   -23.3\nHealth care and social assistance                  1585.6   1374.9  -210.7\nArts, entertainment, and recreation                 236.3     98.2  -138.1\nAccommodation and food services                     664.0    378.1  -285.9\nOther services, except government                   458.1    371.0   -87.1\nFederal                                             809.8    837.7    27.9\nState and local                                    1816.3   1756.9   -59.4\n2020                                              21329.9  19520.1 -1809.8"
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Fix the first and last rows of the diff column to be the totals instead of the changes"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "seasonal.loc['2019', 'diff'] = seasonal.loc['2019', '2019.Q2']\nseasonal.loc['2020', 'diff'] = seasonal.loc['2020', '2020.Q2']",
      "execution_count": 13,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Extract the diff column and add a sequential index to use as the x coordinate"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "waterfall = seasonal[['diff']].copy()\nwaterfall['pos'] = np.arange(waterfall.shape[0])",
      "execution_count": 14,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Compute the top and bottom of each individual bar. For this we must calculate the cumulative sum, starting from the original value and adding each difference in turn until we reach the final value. These values determine the range of each bar"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "waterfall['bottom'] = waterfall['diff'].shift(1).cumsum()\nwaterfall['top'] = waterfall['diff'].cumsum()\nwaterfall.fillna(0, inplace=True)",
      "execution_count": 15,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Adjust the final value positions"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "waterfall.loc['2020', 'bottom'] = 0\nwaterfall.loc['2020', 'top'] = waterfall.loc['2020', 'diff']\nwaterfall",
      "execution_count": 16,
      "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>diff</th>\n      <th>pos</th>\n      <th>bottom</th>\n      <th>top</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2019</th>\n      <td>21329.9</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>21329.9</td>\n    </tr>\n    <tr>\n      <th>Agriculture, forestry, fishing, and hunting</th>\n      <td>-30.4</td>\n      <td>1</td>\n      <td>21329.9</td>\n      <td>21299.5</td>\n    </tr>\n    <tr>\n      <th>Mining</th>\n      <td>-182.9</td>\n      <td>2</td>\n      <td>21299.5</td>\n      <td>21116.6</td>\n    </tr>\n    <tr>\n      <th>Utilities</th>\n      <td>0.5</td>\n      <td>3</td>\n      <td>21116.6</td>\n      <td>21117.1</td>\n    </tr>\n    <tr>\n      <th>Construction</th>\n      <td>-33.7</td>\n      <td>4</td>\n      <td>21117.1</td>\n      <td>21083.4</td>\n    </tr>\n    <tr>\n      <th>Durable goods</th>\n      <td>-173.7</td>\n      <td>5</td>\n      <td>21083.4</td>\n      <td>20909.7</td>\n    </tr>\n    <tr>\n      <th>Nondurable goods</th>\n      <td>-113.3</td>\n      <td>6</td>\n      <td>20909.7</td>\n      <td>20796.4</td>\n    </tr>\n    <tr>\n      <th>Wholesale trade</th>\n      <td>-141.9</td>\n      <td>7</td>\n      <td>20796.4</td>\n      <td>20654.5</td>\n    </tr>\n    <tr>\n      <th>Retail trade</th>\n      <td>-53.9</td>\n      <td>8</td>\n      <td>20654.5</td>\n      <td>20600.6</td>\n    </tr>\n    <tr>\n      <th>Transportation and warehousing</th>\n      <td>-170.5</td>\n      <td>9</td>\n      <td>20600.6</td>\n      <td>20430.1</td>\n    </tr>\n    <tr>\n      <th>Information</th>\n      <td>-6.6</td>\n      <td>10</td>\n      <td>20430.1</td>\n      <td>20423.5</td>\n    </tr>\n    <tr>\n      <th>Finance and insurance</th>\n      <td>36.1</td>\n      <td>11</td>\n      <td>20423.5</td>\n      <td>20459.6</td>\n    </tr>\n    <tr>\n      <th>Real estate and rental and leasing</th>\n      <td>5.2</td>\n      <td>12</td>\n      <td>20459.6</td>\n      <td>20464.8</td>\n    </tr>\n    <tr>\n      <th>Professional, scientific, and technical services</th>\n      <td>-77.5</td>\n      <td>13</td>\n      <td>20464.8</td>\n      <td>20387.3</td>\n    </tr>\n    <tr>\n      <th>Management of companies and enterprises</th>\n      <td>-14.6</td>\n      <td>14</td>\n      <td>20387.3</td>\n      <td>20372.7</td>\n    </tr>\n    <tr>\n      <th>Administrative and waste management services</th>\n      <td>-76.2</td>\n      <td>15</td>\n      <td>20372.7</td>\n      <td>20296.5</td>\n    </tr>\n    <tr>\n      <th>Educational services</th>\n      <td>-23.3</td>\n      <td>16</td>\n      <td>20296.5</td>\n      <td>20273.2</td>\n    </tr>\n    <tr>\n      <th>Health care and social assistance</th>\n      <td>-210.7</td>\n      <td>17</td>\n      <td>20273.2</td>\n      <td>20062.5</td>\n    </tr>\n    <tr>\n      <th>Arts, entertainment, and recreation</th>\n      <td>-138.1</td>\n      <td>18</td>\n      <td>20062.5</td>\n      <td>19924.4</td>\n    </tr>\n    <tr>\n      <th>Accommodation and food services</th>\n      <td>-285.9</td>\n      <td>19</td>\n      <td>19924.4</td>\n      <td>19638.5</td>\n    </tr>\n    <tr>\n      <th>Other services, except government</th>\n      <td>-87.1</td>\n      <td>20</td>\n      <td>19638.5</td>\n      <td>19551.4</td>\n    </tr>\n    <tr>\n      <th>Federal</th>\n      <td>27.9</td>\n      <td>21</td>\n      <td>19551.4</td>\n      <td>19579.3</td>\n    </tr>\n    <tr>\n      <th>State and local</th>\n      <td>-59.4</td>\n      <td>22</td>\n      <td>19579.3</td>\n      <td>19519.9</td>\n    </tr>\n    <tr>\n      <th>2020</th>\n      <td>19520.1</td>\n      <td>23</td>\n      <td>0.0</td>\n      <td>19520.1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                                                     diff  pos   bottom  \\\n2019                                              21329.9    0      0.0   \nAgriculture, forestry, fishing, and hunting         -30.4    1  21329.9   \nMining                                             -182.9    2  21299.5   \nUtilities                                             0.5    3  21116.6   \nConstruction                                        -33.7    4  21117.1   \nDurable goods                                      -173.7    5  21083.4   \nNondurable goods                                   -113.3    6  20909.7   \nWholesale trade                                    -141.9    7  20796.4   \nRetail trade                                        -53.9    8  20654.5   \nTransportation and warehousing                     -170.5    9  20600.6   \nInformation                                          -6.6   10  20430.1   \nFinance and insurance                                36.1   11  20423.5   \nReal estate and rental and leasing                    5.2   12  20459.6   \nProfessional, scientific, and technical services    -77.5   13  20464.8   \nManagement of companies and enterprises             -14.6   14  20387.3   \nAdministrative and waste management services        -76.2   15  20372.7   \nEducational services                                -23.3   16  20296.5   \nHealth care and social assistance                  -210.7   17  20273.2   \nArts, entertainment, and recreation                -138.1   18  20062.5   \nAccommodation and food services                    -285.9   19  19924.4   \nOther services, except government                   -87.1   20  19638.5   \nFederal                                              27.9   21  19551.4   \nState and local                                     -59.4   22  19579.3   \n2020                                              19520.1   23      0.0   \n\n                                                      top  \n2019                                              21329.9  \nAgriculture, forestry, fishing, and hunting       21299.5  \nMining                                            21116.6  \nUtilities                                         21117.1  \nConstruction                                      21083.4  \nDurable goods                                     20909.7  \nNondurable goods                                  20796.4  \nWholesale trade                                   20654.5  \nRetail trade                                      20600.6  \nTransportation and warehousing                    20430.1  \nInformation                                       20423.5  \nFinance and insurance                             20459.6  \nReal estate and rental and leasing                20464.8  \nProfessional, scientific, and technical services  20387.3  \nManagement of companies and enterprises           20372.7  \nAdministrative and waste management services      20296.5  \nEducational services                              20273.2  \nHealth care and social assistance                 20062.5  \nArts, entertainment, and recreation               19924.4  \nAccommodation and food services                   19638.5  \nOther services, except government                 19551.4  \nFederal                                           19579.3  \nState and local                                   19519.9  \n2020                                              19520.1  "
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Extract the x values"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "pos = [waterfall.pos[:-1], # x-values\n       waterfall.pos[1:]]",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Compute the color of each bar. Positive changes are shown in green and negative differences in red. The initial and final totals are in purple."
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "bar_colors = ['#cf51f9'] + \\\n['#70bf41' if value > 0 else '#f9517b' for value in waterfall['diff'][1:-1]] + \\\n['#cf51f9']",
      "execution_count": 18,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Utility function to add the value labels above each bar"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "def draw_labels(x):\n    ax = plt.gca()\n    \n    ax.text(x=x['pos'], y=max([x['top'],x['bottom']]), \n            s='%u' % x['diff'],\n            verticalalignment='bottom', \n            horizontalalignment='center',\n           fontsize=16)",
      "execution_count": 19,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Generate the final figure"
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": false
      },
      "cell_type": "code",
      "source": "fig, ax = plt.subplots(1, figsize=(16, 16))\n\nwaterfall.plot(kind='bar', \n               bottom=waterfall['bottom'], y='diff', \n               legend=False, ax=ax, color=bar_colors, width=.8)\nax.plot(pos, \n        waterfall[['top', 'top']].iloc[:-1].T,\n        color='darkgray', # Color\n        zorder=-2, #Plot below the current bars\n        lw=2) # Make the lines thicker\n\n# Add the value labels above each bar\nwaterfall.iloc[1:-1].apply(draw_labels, axis=1)\n\n# Clean up the original y axis\nax.get_yaxis().set_major_formatter(\n    matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x), ',')))\nax.set_ylim(19000, 21500)\nax.set_yticks(np.arange(19000, 21501, 200))\n\n# Increase tick mark font size\nax.tick_params(axis='x', labelsize=20)\nax.tick_params(axis='y', labelsize=20)\nax.set_ylabel('GDP ($B)', fontsize=28)\n\n# Add white horizontal grid lines for readability\nax.grid(axis='y', color='white', lw=2)\n\n# Add a second y-axis on the right and format it to match the original one\nax2 = ax.secondary_yaxis('right')\nax2.get_yaxis().set_major_formatter(\n    matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x), ',')))\nax2.set_ylim(19000, 21500)\nax2.set_yticks(np.arange(19000, 21501, 200))\n\n# Increase tick mark font size\nax2.tick_params(axis='x', labelsize=20)\nax2.tick_params(axis='y', labelsize=20)",
      "execution_count": 20,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1152x1152 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "<div style=\"width: 100%; overflow: hidden;\">\n     <img src=\"https://raw.githubusercontent.com/DataForScience/Networks/master/data/D4Sci_logo_full.png\" alt=\"Data For Science, Inc\" align=\"center\" border=\"0\" width=300px> \n</div>"
    }
  ],
  "metadata": {
    "_draft": {
      "nbviewer_url": "https://gist.github.com/2e74ff45ff5d673eb4aa14195de9759b"
    },
    "gist": {
      "id": "2e74ff45ff5d673eb4aa14195de9759b",
      "data": {
        "description": "Waterfall.ipynb",
        "public": true
      }
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.5",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "varInspector": {
      "window_display": false,
      "cols": {
        "lenName": 16,
        "lenType": 16,
        "lenVar": 40
      },
      "kernels_config": {
        "python": {
          "library": "var_list.py",
          "delete_cmd_prefix": "del ",
          "delete_cmd_postfix": "",
          "varRefreshCmd": "print(var_dic_list())"
        },
        "r": {
          "library": "var_list.r",
          "delete_cmd_prefix": "rm(",
          "delete_cmd_postfix": ") ",
          "varRefreshCmd": "cat(var_dic_list()) "
        }
      },
      "types_to_exclude": [
        "module",
        "function",
        "builtin_function_or_method",
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        "_Feature"
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}