ipynb/shu_hu-generating_input_output_networks_using_us_data.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "id": "dacdb373",
            "metadata": {},
            "source": "# Visualising Input-output Networks Using US Data and ``NetworkX``\n\nAuthor: Shu Hu\n\nQuantEcon Workshop, 22 July, 2022\n\nThis notebook visualises the input-output networks using US data and [NetworkX](https://networkx.org/)."
        },
        {
            "cell_type": "markdown",
            "id": "9f2d4d33",
            "metadata": {},
            "source": "## 1 Motivations"
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "c379e3eb",
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Requirement already satisfied: pandas-datareader in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (0.10.0)\n",
                        "Requirement already satisfied: pandas>=0.23 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas-datareader) (1.4.2)\n",
                        "Requirement already satisfied: requests>=2.19.0 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas-datareader) (2.27.1)\n",
                        "Requirement already satisfied: lxml in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas-datareader) (4.8.0)\n",
                        "Requirement already satisfied: python-dateutil>=2.8.1 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.23->pandas-datareader) (2.8.2)\n",
                        "Requirement already satisfied: pytz>=2020.1 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.23->pandas-datareader) (2021.3)\n",
                        "Requirement already satisfied: numpy>=1.18.5 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from pandas>=0.23->pandas-datareader) (1.21.6)\n",
                        "Requirement already satisfied: six>=1.5 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from python-dateutil>=2.8.1->pandas>=0.23->pandas-datareader) (1.16.0)\n",
                        "Requirement already satisfied: charset-normalizer~=2.0.0 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from requests>=2.19.0->pandas-datareader) (2.0.4)\n",
                        "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from requests>=2.19.0->pandas-datareader) (1.26.9)\n",
                        "Requirement already satisfied: certifi>=2017.4.17 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from requests>=2.19.0->pandas-datareader) (2021.10.8)\n",
                        "Requirement already satisfied: idna<4,>=2.5 in /Users/shuhu/opt/anaconda3/lib/python3.9/site-packages (from requests>=2.19.0->pandas-datareader) (3.3)\n"
                    ]
                }
            ],
            "source": [
                "!pip install --upgrade pandas-datareader"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "7771341d",
            "metadata": {},
            "outputs": [],
            "source": [
                "import pandas_datareader.data as web\n",
                "import datetime"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "id": "329ebe32",
            "metadata": {},
            "outputs": [],
            "source": [
                "start = datetime.datetime(2010, 1, 1)\n",
                "end = datetime.datetime(2022, 1, 27)\n",
                "gdp = web.DataReader('GDP', 'fred', start, end)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "id": "8098f72b",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "<AxesSubplot:xlabel='DATE'>"
                        ]
                    },
                    "execution_count": 4,
                    "metadata": {},
                    "output_type": "execute_result"
                },
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": [
                            "<Figure size 432x288 with 1 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "gdp.plot()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "3890edf1",
            "metadata": {},
            "source": "## 2 Instructions\n\n\n- A graph is more than a thousand words.\n- Use network plots to understand network patterns.\n    - Example: Citation or Publication Networks\n        - https://scholar.google.com.au/\n        - https://www.connectedpapers.com/\n- Topics today: Leontielf Input-output Networks\n    - target: \n        - search \"Economic Networks: Theory and Computation\" in google scholar or\n        - click: https://scholar.google.com.au/scholar?hl=en&as_sdt=0%2C5&q=Economic+Networks%3A+Theory+and+Computation&btnG= \n    - ingredients:\n       - use and make table from BEA in 2019: https://www.bea.gov/industry/input-output-accounts-data#tab-02\n    - instructions:\n        - step 1\n        - step 2\n        - step 3"
        },
        {
            "cell_type": "markdown",
            "id": "eeec22e3",
            "metadata": {},
            "source": "### Step 1: Construct IO Coefficient Matrix\n\nImports for step 1:"
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "id": "99eec956",
            "metadata": {},
            "outputs": [],
            "source": [
                "import pandas as pd"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "7959b414",
            "metadata": {},
            "source": "The input-output coefficient matrix (or called direct-output or Ghosh Matrix) $F = [f_{ij}]$  is defined by\n\n$$\nf_{ij} := \\frac{z_{ij}}{x_i} = \\text{ value of inputs from i to j per dollar output from i}\n$$\n\nwhere \n- $z_{ij}$ is the inter-industry sales from sector $i$ to sector $j$,\n- $x_i$ is the total sales of sector $i$.\n\nThe Python dictionary below shows the IO code for industries and their names:"
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "id": "1cbf17b8",
            "metadata": {},
            "outputs": [],
            "source": [
                "CODES = {'ag': \"Agriculture, forestry, fishing, and hunting\",    \n",
                "         'mi': \"Mining\",  \n",
                "         'ut': \"Utilities\",  \n",
                "         'co': \"Construction\",  \n",
                "         'ma': \"Manufacturing\",  \n",
                "         'wh': \"Wholesale trade\",  \n",
                "         're': \"Retail trade\", \n",
                "         'tr': \"Transportation and warehousing\",  \n",
                "         'in': \"Information\",  \n",
                "         'fi': \"Finance, insurance, real estate, rental, and leasing\",  \n",
                "         'pr': \"Professional and business services\", \n",
                "         'ed': \"Educational services, health care, and social assistance\",   \n",
                "         'ar': \"Arts, entertainment, recreation, accommodation, and food\",  \n",
                "         'ot': \"Other services, except government\",  \n",
                "         'go': \"Government\"}\n",
                "\n",
                "codes = list(CODES)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "id": "0d2b4484",
            "metadata": {},
            "outputs": [],
            "source": [
                "data_file_make = 'csv_files/make_15_2019.csv'\n",
                "data_file_use = 'csv_files/use_15_2019.csv'\n",
                "colname = 'Total Industry Output'\n",
                "columnlist = ['Name',\n",
                "              'Total Intermediate',\n",
                "              'Personal consumption expenditures',\n",
                "              'Private fixed investment',\n",
                "              'Change in private inventories',\n",
                "              'Exports of goods and services',\n",
                "              'Government consumption expenditures and gross investment',\n",
                "              'Total use of products']\n",
                "N = 15"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "5bbdfcd8",
            "metadata": {},
            "source": "First construct the matrix $Z=(z_{ij})$."
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "id": "628dca41",
            "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",
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                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
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                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>Agriculture, forestry, fishing, and hunting</th>\n",
                            "      <th>Mining</th>\n",
                            "      <th>Utilities</th>\n",
                            "      <th>Construction</th>\n",
                            "      <th>Manufacturing</th>\n",
                            "      <th>Wholesale trade</th>\n",
                            "      <th>Retail trade</th>\n",
                            "      <th>Transportation and warehousing</th>\n",
                            "      <th>Information</th>\n",
                            "      <th>Finance, insurance, real estate, rental, and leasing</th>\n",
                            "      <th>Professional and business services</th>\n",
                            "      <th>Educational services, health care, and social assistance</th>\n",
                            "      <th>Arts, entertainment, recreation, accommodation, and food services</th>\n",
                            "      <th>Other services, except government</th>\n",
                            "      <th>Government</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>114769</td>\n",
                            "      <td>191</td>\n",
                            "      <td>0</td>\n",
                            "      <td>3432</td>\n",
                            "      <td>322670</td>\n",
                            "      <td>1774</td>\n",
                            "      <td>5259</td>\n",
                            "      <td>199</td>\n",
                            "      <td>0</td>\n",
                            "      <td>17</td>\n",
                            "      <td>5402</td>\n",
                            "      <td>255</td>\n",
                            "      <td>10129</td>\n",
                            "      <td>330</td>\n",
                            "      <td>8980</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>2544</td>\n",
                            "      <td>58999</td>\n",
                            "      <td>40944</td>\n",
                            "      <td>27940</td>\n",
                            "      <td>371488</td>\n",
                            "      <td>26</td>\n",
                            "      <td>5</td>\n",
                            "      <td>234</td>\n",
                            "      <td>933</td>\n",
                            "      <td>62</td>\n",
                            "      <td>2038</td>\n",
                            "      <td>439</td>\n",
                            "      <td>1573</td>\n",
                            "      <td>689</td>\n",
                            "      <td>39181</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>4401</td>\n",
                            "      <td>9069</td>\n",
                            "      <td>22602</td>\n",
                            "      <td>4753</td>\n",
                            "      <td>55663</td>\n",
                            "      <td>15113</td>\n",
                            "      <td>33156</td>\n",
                            "      <td>12237</td>\n",
                            "      <td>5448</td>\n",
                            "      <td>108576</td>\n",
                            "      <td>16373</td>\n",
                            "      <td>18894</td>\n",
                            "      <td>28745</td>\n",
                            "      <td>3963</td>\n",
                            "      <td>26836</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>1681</td>\n",
                            "      <td>3501</td>\n",
                            "      <td>6840</td>\n",
                            "      <td>217</td>\n",
                            "      <td>14197</td>\n",
                            "      <td>1983</td>\n",
                            "      <td>4465</td>\n",
                            "      <td>5923</td>\n",
                            "      <td>2456</td>\n",
                            "      <td>160480</td>\n",
                            "      <td>1799</td>\n",
                            "      <td>1651</td>\n",
                            "      <td>2899</td>\n",
                            "      <td>3498</td>\n",
                            "      <td>95792</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>110824</td>\n",
                            "      <td>87229</td>\n",
                            "      <td>24462</td>\n",
                            "      <td>592230</td>\n",
                            "      <td>2458644</td>\n",
                            "      <td>92558</td>\n",
                            "      <td>93575</td>\n",
                            "      <td>144775</td>\n",
                            "      <td>120386</td>\n",
                            "      <td>114226</td>\n",
                            "      <td>210934</td>\n",
                            "      <td>265246</td>\n",
                            "      <td>147831</td>\n",
                            "      <td>78423</td>\n",
                            "      <td>523874</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>5</th>\n",
                            "      <td>1486</td>\n",
                            "      <td>184</td>\n",
                            "      <td>1111</td>\n",
                            "      <td>62</td>\n",
                            "      <td>25085</td>\n",
                            "      <td>44649</td>\n",
                            "      <td>19245</td>\n",
                            "      <td>217</td>\n",
                            "      <td>2155</td>\n",
                            "      <td>7402</td>\n",
                            "      <td>228</td>\n",
                            "      <td>360</td>\n",
                            "      <td>133</td>\n",
                            "      <td>22</td>\n",
                            "      <td>43</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>6</th>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>2210</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0</td>\n",
                            "      <td>3</td>\n",
                            "      <td>0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>7</th>\n",
                            "      <td>661</td>\n",
                            "      <td>2968</td>\n",
                            "      <td>10538</td>\n",
                            "      <td>1153</td>\n",
                            "      <td>54383</td>\n",
                            "      <td>81713</td>\n",
                            "      <td>76317</td>\n",
                            "      <td>149148</td>\n",
                            "      <td>21570</td>\n",
                            "      <td>43612</td>\n",
                            "      <td>64799</td>\n",
                            "      <td>22669</td>\n",
                            "      <td>10327</td>\n",
                            "      <td>5323</td>\n",
                            "      <td>49523</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>582</td>\n",
                            "      <td>2180</td>\n",
                            "      <td>2809</td>\n",
                            "      <td>8584</td>\n",
                            "      <td>22650</td>\n",
                            "      <td>25313</td>\n",
                            "      <td>29575</td>\n",
                            "      <td>13858</td>\n",
                            "      <td>237039</td>\n",
                            "      <td>73613</td>\n",
                            "      <td>121163</td>\n",
                            "      <td>42412</td>\n",
                            "      <td>22982</td>\n",
                            "      <td>18944</td>\n",
                            "      <td>104515</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>9</th>\n",
                            "      <td>33682</td>\n",
                            "      <td>42756</td>\n",
                            "      <td>13517</td>\n",
                            "      <td>56687</td>\n",
                            "      <td>108329</td>\n",
                            "      <td>189839</td>\n",
                            "      <td>234543</td>\n",
                            "      <td>138470</td>\n",
                            "      <td>89086</td>\n",
                            "      <td>1420134</td>\n",
                            "      <td>301006</td>\n",
                            "      <td>335075</td>\n",
                            "      <td>160697</td>\n",
                            "      <td>86867</td>\n",
                            "      <td>193748</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>3767</td>\n",
                            "      <td>59519</td>\n",
                            "      <td>29368</td>\n",
                            "      <td>87133</td>\n",
                            "      <td>373668</td>\n",
                            "      <td>312972</td>\n",
                            "      <td>243546</td>\n",
                            "      <td>102899</td>\n",
                            "      <td>264047</td>\n",
                            "      <td>629777</td>\n",
                            "      <td>703354</td>\n",
                            "      <td>311162</td>\n",
                            "      <td>203010</td>\n",
                            "      <td>59658</td>\n",
                            "      <td>286681</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>18</td>\n",
                            "      <td>0</td>\n",
                            "      <td>230</td>\n",
                            "      <td>10</td>\n",
                            "      <td>146</td>\n",
                            "      <td>2808</td>\n",
                            "      <td>8556</td>\n",
                            "      <td>341</td>\n",
                            "      <td>363</td>\n",
                            "      <td>39</td>\n",
                            "      <td>1738</td>\n",
                            "      <td>43675</td>\n",
                            "      <td>2469</td>\n",
                            "      <td>4822</td>\n",
                            "      <td>35765</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>12</th>\n",
                            "      <td>574</td>\n",
                            "      <td>725</td>\n",
                            "      <td>2312</td>\n",
                            "      <td>1087</td>\n",
                            "      <td>12127</td>\n",
                            "      <td>10619</td>\n",
                            "      <td>9930</td>\n",
                            "      <td>21627</td>\n",
                            "      <td>47953</td>\n",
                            "      <td>88963</td>\n",
                            "      <td>84293</td>\n",
                            "      <td>59965</td>\n",
                            "      <td>41678</td>\n",
                            "      <td>8661</td>\n",
                            "      <td>26811</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>13</th>\n",
                            "      <td>677</td>\n",
                            "      <td>905</td>\n",
                            "      <td>468</td>\n",
                            "      <td>8279</td>\n",
                            "      <td>21587</td>\n",
                            "      <td>29300</td>\n",
                            "      <td>19229</td>\n",
                            "      <td>19618</td>\n",
                            "      <td>8670</td>\n",
                            "      <td>39124</td>\n",
                            "      <td>34890</td>\n",
                            "      <td>27939</td>\n",
                            "      <td>18010</td>\n",
                            "      <td>10208</td>\n",
                            "      <td>33378</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>14</th>\n",
                            "      <td>17</td>\n",
                            "      <td>6</td>\n",
                            "      <td>2857</td>\n",
                            "      <td>5</td>\n",
                            "      <td>4698</td>\n",
                            "      <td>14559</td>\n",
                            "      <td>7147</td>\n",
                            "      <td>12233</td>\n",
                            "      <td>2863</td>\n",
                            "      <td>18019</td>\n",
                            "      <td>9499</td>\n",
                            "      <td>8833</td>\n",
                            "      <td>6529</td>\n",
                            "      <td>2454</td>\n",
                            "      <td>9717</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "   Agriculture, forestry, fishing, and hunting Mining Utilities Construction  \\\n",
                            "0                                       114769    191         0         3432   \n",
                            "1                                         2544  58999     40944        27940   \n",
                            "2                                         4401   9069     22602         4753   \n",
                            "3                                         1681   3501      6840          217   \n",
                            "4                                       110824  87229     24462       592230   \n",
                            "5                                         1486    184      1111           62   \n",
                            "6                                            0      0         0            0   \n",
                            "7                                          661   2968     10538         1153   \n",
                            "8                                          582   2180      2809         8584   \n",
                            "9                                        33682  42756     13517        56687   \n",
                            "10                                        3767  59519     29368        87133   \n",
                            "11                                          18      0       230           10   \n",
                            "12                                         574    725      2312         1087   \n",
                            "13                                         677    905       468         8279   \n",
                            "14                                          17      6      2857            5   \n",
                            "\n",
                            "   Manufacturing Wholesale trade Retail trade Transportation and warehousing  \\\n",
                            "0         322670            1774         5259                            199   \n",
                            "1         371488              26            5                            234   \n",
                            "2          55663           15113        33156                          12237   \n",
                            "3          14197            1983         4465                           5923   \n",
                            "4        2458644           92558        93575                         144775   \n",
                            "5          25085           44649        19245                            217   \n",
                            "6              0               0         2210                              0   \n",
                            "7          54383           81713        76317                         149148   \n",
                            "8          22650           25313        29575                          13858   \n",
                            "9         108329          189839       234543                         138470   \n",
                            "10        373668          312972       243546                         102899   \n",
                            "11           146            2808         8556                            341   \n",
                            "12         12127           10619         9930                          21627   \n",
                            "13         21587           29300        19229                          19618   \n",
                            "14          4698           14559         7147                          12233   \n",
                            "\n",
                            "   Information Finance, insurance, real estate, rental, and leasing  \\\n",
                            "0            0                                                 17     \n",
                            "1          933                                                 62     \n",
                            "2         5448                                             108576     \n",
                            "3         2456                                             160480     \n",
                            "4       120386                                             114226     \n",
                            "5         2155                                               7402     \n",
                            "6            0                                                  0     \n",
                            "7        21570                                              43612     \n",
                            "8       237039                                              73613     \n",
                            "9        89086                                            1420134     \n",
                            "10      264047                                             629777     \n",
                            "11         363                                                 39     \n",
                            "12       47953                                              88963     \n",
                            "13        8670                                              39124     \n",
                            "14        2863                                              18019     \n",
                            "\n",
                            "   Professional and business services  \\\n",
                            "0                                5402   \n",
                            "1                                2038   \n",
                            "2                               16373   \n",
                            "3                                1799   \n",
                            "4                              210934   \n",
                            "5                                 228   \n",
                            "6                                   0   \n",
                            "7                               64799   \n",
                            "8                              121163   \n",
                            "9                              301006   \n",
                            "10                             703354   \n",
                            "11                               1738   \n",
                            "12                              84293   \n",
                            "13                              34890   \n",
                            "14                               9499   \n",
                            "\n",
                            "   Educational services, health care, and social assistance  \\\n",
                            "0                                                 255         \n",
                            "1                                                 439         \n",
                            "2                                               18894         \n",
                            "3                                                1651         \n",
                            "4                                              265246         \n",
                            "5                                                 360         \n",
                            "6                                                   0         \n",
                            "7                                               22669         \n",
                            "8                                               42412         \n",
                            "9                                              335075         \n",
                            "10                                             311162         \n",
                            "11                                              43675         \n",
                            "12                                              59965         \n",
                            "13                                              27939         \n",
                            "14                                               8833         \n",
                            "\n",
                            "   Arts, entertainment, recreation, accommodation, and food services  \\\n",
                            "0                                               10129                  \n",
                            "1                                                1573                  \n",
                            "2                                               28745                  \n",
                            "3                                                2899                  \n",
                            "4                                              147831                  \n",
                            "5                                                 133                  \n",
                            "6                                                   0                  \n",
                            "7                                               10327                  \n",
                            "8                                               22982                  \n",
                            "9                                              160697                  \n",
                            "10                                             203010                  \n",
                            "11                                               2469                  \n",
                            "12                                              41678                  \n",
                            "13                                              18010                  \n",
                            "14                                               6529                  \n",
                            "\n",
                            "   Other services, except government Government  \n",
                            "0                                330       8980  \n",
                            "1                                689      39181  \n",
                            "2                               3963      26836  \n",
                            "3                               3498      95792  \n",
                            "4                              78423     523874  \n",
                            "5                                 22         43  \n",
                            "6                                  3          0  \n",
                            "7                               5323      49523  \n",
                            "8                              18944     104515  \n",
                            "9                              86867     193748  \n",
                            "10                             59658     286681  \n",
                            "11                              4822      35765  \n",
                            "12                              8661      26811  \n",
                            "13                             10208      33378  \n",
                            "14                              2454       9717  "
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "df1 = pd.read_csv(data_file_use)\n",
                "df2 = df1[:N]\n",
                "df3 = df2.drop(columns=columnlist)\n",
                "df4 = df3.replace('...', 0)\n",
                "df4"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "e496c24c",
            "metadata": {},
            "source": "Then extract the vector $X$ and append it to the dataframe containing $Z$."
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "id": "b17ba647",
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
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                            "\n",
                            "    .dataframe tbody tr th {\n",
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                            "\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>Agriculture, forestry, fishing, and hunting</th>\n",
                            "      <th>Mining</th>\n",
                            "      <th>Utilities</th>\n",
                            "      <th>Construction</th>\n",
                            "      <th>Manufacturing</th>\n",
                            "      <th>Wholesale trade</th>\n",
                            "      <th>Retail trade</th>\n",
                            "      <th>Transportation and warehousing</th>\n",
                            "      <th>Information</th>\n",
                            "      <th>Finance, insurance, real estate, rental, and leasing</th>\n",
                            "      <th>Professional and business services</th>\n",
                            "      <th>Educational services, health care, and social assistance</th>\n",
                            "      <th>Arts, entertainment, recreation, accommodation, and food services</th>\n",
                            "      <th>Other services, except government</th>\n",
                            "      <th>Government</th>\n",
                            "      <th>Total</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>114769.0</td>\n",
                            "      <td>191.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>3432.0</td>\n",
                            "      <td>322670.0</td>\n",
                            "      <td>1774.0</td>\n",
                            "      <td>5259.0</td>\n",
                            "      <td>199.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>17.0</td>\n",
                            "      <td>5402.0</td>\n",
                            "      <td>255.0</td>\n",
                            "      <td>10129.0</td>\n",
                            "      <td>330.0</td>\n",
                            "      <td>8980.0</td>\n",
                            "      <td>452427.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>2544.0</td>\n",
                            "      <td>58999.0</td>\n",
                            "      <td>40944.0</td>\n",
                            "      <td>27940.0</td>\n",
                            "      <td>371488.0</td>\n",
                            "      <td>26.0</td>\n",
                            "      <td>5.0</td>\n",
                            "      <td>234.0</td>\n",
                            "      <td>933.0</td>\n",
                            "      <td>62.0</td>\n",
                            "      <td>2038.0</td>\n",
                            "      <td>439.0</td>\n",
                            "      <td>1573.0</td>\n",
                            "      <td>689.0</td>\n",
                            "      <td>39181.0</td>\n",
                            "      <td>579935.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>4401.0</td>\n",
                            "      <td>9069.0</td>\n",
                            "      <td>22602.0</td>\n",
                            "      <td>4753.0</td>\n",
                            "      <td>55663.0</td>\n",
                            "      <td>15113.0</td>\n",
                            "      <td>33156.0</td>\n",
                            "      <td>12237.0</td>\n",
                            "      <td>5448.0</td>\n",
                            "      <td>108576.0</td>\n",
                            "      <td>16373.0</td>\n",
                            "      <td>18894.0</td>\n",
                            "      <td>28745.0</td>\n",
                            "      <td>3963.0</td>\n",
                            "      <td>26836.0</td>\n",
                            "      <td>503226.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>1681.0</td>\n",
                            "      <td>3501.0</td>\n",
                            "      <td>6840.0</td>\n",
                            "      <td>217.0</td>\n",
                            "      <td>14197.0</td>\n",
                            "      <td>1983.0</td>\n",
                            "      <td>4465.0</td>\n",
                            "      <td>5923.0</td>\n",
                            "      <td>2456.0</td>\n",
                            "      <td>160480.0</td>\n",
                            "      <td>1799.0</td>\n",
                            "      <td>1651.0</td>\n",
                            "      <td>2899.0</td>\n",
                            "      <td>3498.0</td>\n",
                            "      <td>95792.0</td>\n",
                            "      <td>1689986.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>110824.0</td>\n",
                            "      <td>87229.0</td>\n",
                            "      <td>24462.0</td>\n",
                            "      <td>592230.0</td>\n",
                            "      <td>2458644.0</td>\n",
                            "      <td>92558.0</td>\n",
                            "      <td>93575.0</td>\n",
                            "      <td>144775.0</td>\n",
                            "      <td>120386.0</td>\n",
                            "      <td>114226.0</td>\n",
                            "      <td>210934.0</td>\n",
                            "      <td>265246.0</td>\n",
                            "      <td>147831.0</td>\n",
                            "      <td>78423.0</td>\n",
                            "      <td>523874.0</td>\n",
                            "      <td>6259231.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>5</th>\n",
                            "      <td>1486.0</td>\n",
                            "      <td>184.0</td>\n",
                            "      <td>1111.0</td>\n",
                            "      <td>62.0</td>\n",
                            "      <td>25085.0</td>\n",
                            "      <td>44649.0</td>\n",
                            "      <td>19245.0</td>\n",
                            "      <td>217.0</td>\n",
                            "      <td>2155.0</td>\n",
                            "      <td>7402.0</td>\n",
                            "      <td>228.0</td>\n",
                            "      <td>360.0</td>\n",
                            "      <td>133.0</td>\n",
                            "      <td>22.0</td>\n",
                            "      <td>43.0</td>\n",
                            "      <td>2091682.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>6</th>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>2210.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>3.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>1954487.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>7</th>\n",
                            "      <td>661.0</td>\n",
                            "      <td>2968.0</td>\n",
                            "      <td>10538.0</td>\n",
                            "      <td>1153.0</td>\n",
                            "      <td>54383.0</td>\n",
                            "      <td>81713.0</td>\n",
                            "      <td>76317.0</td>\n",
                            "      <td>149148.0</td>\n",
                            "      <td>21570.0</td>\n",
                            "      <td>43612.0</td>\n",
                            "      <td>64799.0</td>\n",
                            "      <td>22669.0</td>\n",
                            "      <td>10327.0</td>\n",
                            "      <td>5323.0</td>\n",
                            "      <td>49523.0</td>\n",
                            "      <td>1353070.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>582.0</td>\n",
                            "      <td>2180.0</td>\n",
                            "      <td>2809.0</td>\n",
                            "      <td>8584.0</td>\n",
                            "      <td>22650.0</td>\n",
                            "      <td>25313.0</td>\n",
                            "      <td>29575.0</td>\n",
                            "      <td>13858.0</td>\n",
                            "      <td>237039.0</td>\n",
                            "      <td>73613.0</td>\n",
                            "      <td>121163.0</td>\n",
                            "      <td>42412.0</td>\n",
                            "      <td>22982.0</td>\n",
                            "      <td>18944.0</td>\n",
                            "      <td>104515.0</td>\n",
                            "      <td>1941199.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>9</th>\n",
                            "      <td>33682.0</td>\n",
                            "      <td>42756.0</td>\n",
                            "      <td>13517.0</td>\n",
                            "      <td>56687.0</td>\n",
                            "      <td>108329.0</td>\n",
                            "      <td>189839.0</td>\n",
                            "      <td>234543.0</td>\n",
                            "      <td>138470.0</td>\n",
                            "      <td>89086.0</td>\n",
                            "      <td>1420134.0</td>\n",
                            "      <td>301006.0</td>\n",
                            "      <td>335075.0</td>\n",
                            "      <td>160697.0</td>\n",
                            "      <td>86867.0</td>\n",
                            "      <td>193748.0</td>\n",
                            "      <td>7293149.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>3767.0</td>\n",
                            "      <td>59519.0</td>\n",
                            "      <td>29368.0</td>\n",
                            "      <td>87133.0</td>\n",
                            "      <td>373668.0</td>\n",
                            "      <td>312972.0</td>\n",
                            "      <td>243546.0</td>\n",
                            "      <td>102899.0</td>\n",
                            "      <td>264047.0</td>\n",
                            "      <td>629777.0</td>\n",
                            "      <td>703354.0</td>\n",
                            "      <td>311162.0</td>\n",
                            "      <td>203010.0</td>\n",
                            "      <td>59658.0</td>\n",
                            "      <td>286681.0</td>\n",
                            "      <td>4276816.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>18.0</td>\n",
                            "      <td>0.0</td>\n",
                            "      <td>230.0</td>\n",
                            "      <td>10.0</td>\n",
                            "      <td>146.0</td>\n",
                            "      <td>2808.0</td>\n",
                            "      <td>8556.0</td>\n",
                            "      <td>341.0</td>\n",
                            "      <td>363.0</td>\n",
                            "      <td>39.0</td>\n",
                            "      <td>1738.0</td>\n",
                            "      <td>43675.0</td>\n",
                            "      <td>2469.0</td>\n",
                            "      <td>4822.0</td>\n",
                            "      <td>35765.0</td>\n",
                            "      <td>3008921.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>12</th>\n",
                            "      <td>574.0</td>\n",
                            "      <td>725.0</td>\n",
                            "      <td>2312.0</td>\n",
                            "      <td>1087.0</td>\n",
                            "      <td>12127.0</td>\n",
                            "      <td>10619.0</td>\n",
                            "      <td>9930.0</td>\n",
                            "      <td>21627.0</td>\n",
                            "      <td>47953.0</td>\n",
                            "      <td>88963.0</td>\n",
                            "      <td>84293.0</td>\n",
                            "      <td>59965.0</td>\n",
                            "      <td>41678.0</td>\n",
                            "      <td>8661.0</td>\n",
                            "      <td>26811.0</td>\n",
                            "      <td>1568582.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>13</th>\n",
                            "      <td>677.0</td>\n",
                            "      <td>905.0</td>\n",
                            "      <td>468.0</td>\n",
                            "      <td>8279.0</td>\n",
                            "      <td>21587.0</td>\n",
                            "      <td>29300.0</td>\n",
                            "      <td>19229.0</td>\n",
                            "      <td>19618.0</td>\n",
                            "      <td>8670.0</td>\n",
                            "      <td>39124.0</td>\n",
                            "      <td>34890.0</td>\n",
                            "      <td>27939.0</td>\n",
                            "      <td>18010.0</td>\n",
                            "      <td>10208.0</td>\n",
                            "      <td>33378.0</td>\n",
                            "      <td>757665.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>14</th>\n",
                            "      <td>17.0</td>\n",
                            "      <td>6.0</td>\n",
                            "      <td>2857.0</td>\n",
                            "      <td>5.0</td>\n",
                            "      <td>4698.0</td>\n",
                            "      <td>14559.0</td>\n",
                            "      <td>7147.0</td>\n",
                            "      <td>12233.0</td>\n",
                            "      <td>2863.0</td>\n",
                            "      <td>18019.0</td>\n",
                            "      <td>9499.0</td>\n",
                            "      <td>8833.0</td>\n",
                            "      <td>6529.0</td>\n",
                            "      <td>2454.0</td>\n",
                            "      <td>9717.0</td>\n",
                            "      <td>4086609.0</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "    Agriculture, forestry, fishing, and hunting   Mining  Utilities  \\\n",
                            "0                                      114769.0    191.0        0.0   \n",
                            "1                                        2544.0  58999.0    40944.0   \n",
                            "2                                        4401.0   9069.0    22602.0   \n",
                            "3                                        1681.0   3501.0     6840.0   \n",
                            "4                                      110824.0  87229.0    24462.0   \n",
                            "5                                        1486.0    184.0     1111.0   \n",
                            "6                                           0.0      0.0        0.0   \n",
                            "7                                         661.0   2968.0    10538.0   \n",
                            "8                                         582.0   2180.0     2809.0   \n",
                            "9                                       33682.0  42756.0    13517.0   \n",
                            "10                                       3767.0  59519.0    29368.0   \n",
                            "11                                         18.0      0.0      230.0   \n",
                            "12                                        574.0    725.0     2312.0   \n",
                            "13                                        677.0    905.0      468.0   \n",
                            "14                                         17.0      6.0     2857.0   \n",
                            "\n",
                            "    Construction  Manufacturing  Wholesale trade  Retail trade  \\\n",
                            "0         3432.0       322670.0           1774.0        5259.0   \n",
                            "1        27940.0       371488.0             26.0           5.0   \n",
                            "2         4753.0        55663.0          15113.0       33156.0   \n",
                            "3          217.0        14197.0           1983.0        4465.0   \n",
                            "4       592230.0      2458644.0          92558.0       93575.0   \n",
                            "5           62.0        25085.0          44649.0       19245.0   \n",
                            "6            0.0            0.0              0.0        2210.0   \n",
                            "7         1153.0        54383.0          81713.0       76317.0   \n",
                            "8         8584.0        22650.0          25313.0       29575.0   \n",
                            "9        56687.0       108329.0         189839.0      234543.0   \n",
                            "10       87133.0       373668.0         312972.0      243546.0   \n",
                            "11          10.0          146.0           2808.0        8556.0   \n",
                            "12        1087.0        12127.0          10619.0        9930.0   \n",
                            "13        8279.0        21587.0          29300.0       19229.0   \n",
                            "14           5.0         4698.0          14559.0        7147.0   \n",
                            "\n",
                            "    Transportation and warehousing  Information  \\\n",
                            "0                            199.0          0.0   \n",
                            "1                            234.0        933.0   \n",
                            "2                          12237.0       5448.0   \n",
                            "3                           5923.0       2456.0   \n",
                            "4                         144775.0     120386.0   \n",
                            "5                            217.0       2155.0   \n",
                            "6                              0.0          0.0   \n",
                            "7                         149148.0      21570.0   \n",
                            "8                          13858.0     237039.0   \n",
                            "9                         138470.0      89086.0   \n",
                            "10                        102899.0     264047.0   \n",
                            "11                           341.0        363.0   \n",
                            "12                         21627.0      47953.0   \n",
                            "13                         19618.0       8670.0   \n",
                            "14                         12233.0       2863.0   \n",
                            "\n",
                            "    Finance, insurance, real estate, rental, and leasing  \\\n",
                            "0                                                17.0      \n",
                            "1                                                62.0      \n",
                            "2                                            108576.0      \n",
                            "3                                            160480.0      \n",
                            "4                                            114226.0      \n",
                            "5                                              7402.0      \n",
                            "6                                                 0.0      \n",
                            "7                                             43612.0      \n",
                            "8                                             73613.0      \n",
                            "9                                           1420134.0      \n",
                            "10                                           629777.0      \n",
                            "11                                               39.0      \n",
                            "12                                            88963.0      \n",
                            "13                                            39124.0      \n",
                            "14                                            18019.0      \n",
                            "\n",
                            "    Professional and business services  \\\n",
                            "0                               5402.0   \n",
                            "1                               2038.0   \n",
                            "2                              16373.0   \n",
                            "3                               1799.0   \n",
                            "4                             210934.0   \n",
                            "5                                228.0   \n",
                            "6                                  0.0   \n",
                            "7                              64799.0   \n",
                            "8                             121163.0   \n",
                            "9                             301006.0   \n",
                            "10                            703354.0   \n",
                            "11                              1738.0   \n",
                            "12                             84293.0   \n",
                            "13                             34890.0   \n",
                            "14                              9499.0   \n",
                            "\n",
                            "    Educational services, health care, and social assistance  \\\n",
                            "0                                               255.0          \n",
                            "1                                               439.0          \n",
                            "2                                             18894.0          \n",
                            "3                                              1651.0          \n",
                            "4                                            265246.0          \n",
                            "5                                               360.0          \n",
                            "6                                                 0.0          \n",
                            "7                                             22669.0          \n",
                            "8                                             42412.0          \n",
                            "9                                            335075.0          \n",
                            "10                                           311162.0          \n",
                            "11                                            43675.0          \n",
                            "12                                            59965.0          \n",
                            "13                                            27939.0          \n",
                            "14                                             8833.0          \n",
                            "\n",
                            "    Arts, entertainment, recreation, accommodation, and food services  \\\n",
                            "0                                             10129.0                   \n",
                            "1                                              1573.0                   \n",
                            "2                                             28745.0                   \n",
                            "3                                              2899.0                   \n",
                            "4                                            147831.0                   \n",
                            "5                                               133.0                   \n",
                            "6                                                 0.0                   \n",
                            "7                                             10327.0                   \n",
                            "8                                             22982.0                   \n",
                            "9                                            160697.0                   \n",
                            "10                                           203010.0                   \n",
                            "11                                             2469.0                   \n",
                            "12                                            41678.0                   \n",
                            "13                                            18010.0                   \n",
                            "14                                             6529.0                   \n",
                            "\n",
                            "    Other services, except government  Government      Total  \n",
                            "0                               330.0      8980.0   452427.0  \n",
                            "1                               689.0     39181.0   579935.0  \n",
                            "2                              3963.0     26836.0   503226.0  \n",
                            "3                              3498.0     95792.0  1689986.0  \n",
                            "4                             78423.0    523874.0  6259231.0  \n",
                            "5                                22.0        43.0  2091682.0  \n",
                            "6                                 3.0         0.0  1954487.0  \n",
                            "7                              5323.0     49523.0  1353070.0  \n",
                            "8                             18944.0    104515.0  1941199.0  \n",
                            "9                             86867.0    193748.0  7293149.0  \n",
                            "10                            59658.0    286681.0  4276816.0  \n",
                            "11                             4822.0     35765.0  3008921.0  \n",
                            "12                             8661.0     26811.0  1568582.0  \n",
                            "13                            10208.0     33378.0   757665.0  \n",
                            "14                             2454.0      9717.0  4086609.0  "
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "df5 = pd.read_csv(data_file_make)\n",
                "df6 = df4\n",
                "df6[\"Total\"] = df5[colname]\n",
                "X = df5[colname][:N].to_numpy()\n",
                "df6 = df6.astype(float)\n",
                "df6"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "7fbcb54e",
            "metadata": {},
            "source": "Finally construct the matrix $F$ using $Z$ and $X$."
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "id": "4e1f4544",
            "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>Agriculture, forestry, fishing, and hunting</th>\n",
                            "      <th>Mining</th>\n",
                            "      <th>Utilities</th>\n",
                            "      <th>Construction</th>\n",
                            "      <th>Manufacturing</th>\n",
                            "      <th>Wholesale trade</th>\n",
                            "      <th>Retail trade</th>\n",
                            "      <th>Transportation and warehousing</th>\n",
                            "      <th>Information</th>\n",
                            "      <th>Finance, insurance, real estate, rental, and leasing</th>\n",
                            "      <th>Professional and business services</th>\n",
                            "      <th>Educational services, health care, and social assistance</th>\n",
                            "      <th>Arts, entertainment, recreation, accommodation, and food services</th>\n",
                            "      <th>Other services, except government</th>\n",
                            "      <th>Government</th>\n",
                            "      <th>Total</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>0.253674</td>\n",
                            "      <td>0.000422</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.007586</td>\n",
                            "      <td>0.713198</td>\n",
                            "      <td>0.003921</td>\n",
                            "      <td>0.011624</td>\n",
                            "      <td>0.000440</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000038</td>\n",
                            "      <td>0.011940</td>\n",
                            "      <td>0.000564</td>\n",
                            "      <td>0.022388</td>\n",
                            "      <td>0.000729</td>\n",
                            "      <td>0.019849</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>0.004387</td>\n",
                            "      <td>0.101734</td>\n",
                            "      <td>0.070601</td>\n",
                            "      <td>0.048178</td>\n",
                            "      <td>0.640568</td>\n",
                            "      <td>0.000045</td>\n",
                            "      <td>0.000009</td>\n",
                            "      <td>0.000403</td>\n",
                            "      <td>0.001609</td>\n",
                            "      <td>0.000107</td>\n",
                            "      <td>0.003514</td>\n",
                            "      <td>0.000757</td>\n",
                            "      <td>0.002712</td>\n",
                            "      <td>0.001188</td>\n",
                            "      <td>0.067561</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>0.008746</td>\n",
                            "      <td>0.018022</td>\n",
                            "      <td>0.044914</td>\n",
                            "      <td>0.009445</td>\n",
                            "      <td>0.110612</td>\n",
                            "      <td>0.030032</td>\n",
                            "      <td>0.065887</td>\n",
                            "      <td>0.024317</td>\n",
                            "      <td>0.010826</td>\n",
                            "      <td>0.215760</td>\n",
                            "      <td>0.032536</td>\n",
                            "      <td>0.037546</td>\n",
                            "      <td>0.057121</td>\n",
                            "      <td>0.007875</td>\n",
                            "      <td>0.053328</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>0.000995</td>\n",
                            "      <td>0.002072</td>\n",
                            "      <td>0.004047</td>\n",
                            "      <td>0.000128</td>\n",
                            "      <td>0.008401</td>\n",
                            "      <td>0.001173</td>\n",
                            "      <td>0.002642</td>\n",
                            "      <td>0.003505</td>\n",
                            "      <td>0.001453</td>\n",
                            "      <td>0.094959</td>\n",
                            "      <td>0.001065</td>\n",
                            "      <td>0.000977</td>\n",
                            "      <td>0.001715</td>\n",
                            "      <td>0.002070</td>\n",
                            "      <td>0.056682</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>0.017706</td>\n",
                            "      <td>0.013936</td>\n",
                            "      <td>0.003908</td>\n",
                            "      <td>0.094617</td>\n",
                            "      <td>0.392803</td>\n",
                            "      <td>0.014787</td>\n",
                            "      <td>0.014950</td>\n",
                            "      <td>0.023130</td>\n",
                            "      <td>0.019233</td>\n",
                            "      <td>0.018249</td>\n",
                            "      <td>0.033700</td>\n",
                            "      <td>0.042377</td>\n",
                            "      <td>0.023618</td>\n",
                            "      <td>0.012529</td>\n",
                            "      <td>0.083696</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>5</th>\n",
                            "      <td>0.000710</td>\n",
                            "      <td>0.000088</td>\n",
                            "      <td>0.000531</td>\n",
                            "      <td>0.000030</td>\n",
                            "      <td>0.011993</td>\n",
                            "      <td>0.021346</td>\n",
                            "      <td>0.009201</td>\n",
                            "      <td>0.000104</td>\n",
                            "      <td>0.001030</td>\n",
                            "      <td>0.003539</td>\n",
                            "      <td>0.000109</td>\n",
                            "      <td>0.000172</td>\n",
                            "      <td>0.000064</td>\n",
                            "      <td>0.000011</td>\n",
                            "      <td>0.000021</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>6</th>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.001131</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000002</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>7</th>\n",
                            "      <td>0.000489</td>\n",
                            "      <td>0.002194</td>\n",
                            "      <td>0.007788</td>\n",
                            "      <td>0.000852</td>\n",
                            "      <td>0.040192</td>\n",
                            "      <td>0.060391</td>\n",
                            "      <td>0.056403</td>\n",
                            "      <td>0.110229</td>\n",
                            "      <td>0.015942</td>\n",
                            "      <td>0.032232</td>\n",
                            "      <td>0.047890</td>\n",
                            "      <td>0.016754</td>\n",
                            "      <td>0.007632</td>\n",
                            "      <td>0.003934</td>\n",
                            "      <td>0.036600</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>0.000300</td>\n",
                            "      <td>0.001123</td>\n",
                            "      <td>0.001447</td>\n",
                            "      <td>0.004422</td>\n",
                            "      <td>0.011668</td>\n",
                            "      <td>0.013040</td>\n",
                            "      <td>0.015235</td>\n",
                            "      <td>0.007139</td>\n",
                            "      <td>0.122110</td>\n",
                            "      <td>0.037921</td>\n",
                            "      <td>0.062417</td>\n",
                            "      <td>0.021848</td>\n",
                            "      <td>0.011839</td>\n",
                            "      <td>0.009759</td>\n",
                            "      <td>0.053840</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>9</th>\n",
                            "      <td>0.004618</td>\n",
                            "      <td>0.005862</td>\n",
                            "      <td>0.001853</td>\n",
                            "      <td>0.007773</td>\n",
                            "      <td>0.014854</td>\n",
                            "      <td>0.026030</td>\n",
                            "      <td>0.032159</td>\n",
                            "      <td>0.018986</td>\n",
                            "      <td>0.012215</td>\n",
                            "      <td>0.194722</td>\n",
                            "      <td>0.041272</td>\n",
                            "      <td>0.045944</td>\n",
                            "      <td>0.022034</td>\n",
                            "      <td>0.011911</td>\n",
                            "      <td>0.026566</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>0.000881</td>\n",
                            "      <td>0.013917</td>\n",
                            "      <td>0.006867</td>\n",
                            "      <td>0.020373</td>\n",
                            "      <td>0.087371</td>\n",
                            "      <td>0.073179</td>\n",
                            "      <td>0.056946</td>\n",
                            "      <td>0.024060</td>\n",
                            "      <td>0.061739</td>\n",
                            "      <td>0.147254</td>\n",
                            "      <td>0.164457</td>\n",
                            "      <td>0.072756</td>\n",
                            "      <td>0.047468</td>\n",
                            "      <td>0.013949</td>\n",
                            "      <td>0.067031</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>0.000006</td>\n",
                            "      <td>0.000000</td>\n",
                            "      <td>0.000076</td>\n",
                            "      <td>0.000003</td>\n",
                            "      <td>0.000049</td>\n",
                            "      <td>0.000933</td>\n",
                            "      <td>0.002844</td>\n",
                            "      <td>0.000113</td>\n",
                            "      <td>0.000121</td>\n",
                            "      <td>0.000013</td>\n",
                            "      <td>0.000578</td>\n",
                            "      <td>0.014515</td>\n",
                            "      <td>0.000821</td>\n",
                            "      <td>0.001603</td>\n",
                            "      <td>0.011886</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>12</th>\n",
                            "      <td>0.000366</td>\n",
                            "      <td>0.000462</td>\n",
                            "      <td>0.001474</td>\n",
                            "      <td>0.000693</td>\n",
                            "      <td>0.007731</td>\n",
                            "      <td>0.006770</td>\n",
                            "      <td>0.006331</td>\n",
                            "      <td>0.013788</td>\n",
                            "      <td>0.030571</td>\n",
                            "      <td>0.056716</td>\n",
                            "      <td>0.053738</td>\n",
                            "      <td>0.038229</td>\n",
                            "      <td>0.026570</td>\n",
                            "      <td>0.005522</td>\n",
                            "      <td>0.017093</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>13</th>\n",
                            "      <td>0.000894</td>\n",
                            "      <td>0.001194</td>\n",
                            "      <td>0.000618</td>\n",
                            "      <td>0.010927</td>\n",
                            "      <td>0.028491</td>\n",
                            "      <td>0.038671</td>\n",
                            "      <td>0.025379</td>\n",
                            "      <td>0.025893</td>\n",
                            "      <td>0.011443</td>\n",
                            "      <td>0.051638</td>\n",
                            "      <td>0.046049</td>\n",
                            "      <td>0.036875</td>\n",
                            "      <td>0.023770</td>\n",
                            "      <td>0.013473</td>\n",
                            "      <td>0.044054</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>14</th>\n",
                            "      <td>0.000004</td>\n",
                            "      <td>0.000001</td>\n",
                            "      <td>0.000699</td>\n",
                            "      <td>0.000001</td>\n",
                            "      <td>0.001150</td>\n",
                            "      <td>0.003563</td>\n",
                            "      <td>0.001749</td>\n",
                            "      <td>0.002993</td>\n",
                            "      <td>0.000701</td>\n",
                            "      <td>0.004409</td>\n",
                            "      <td>0.002324</td>\n",
                            "      <td>0.002161</td>\n",
                            "      <td>0.001598</td>\n",
                            "      <td>0.000600</td>\n",
                            "      <td>0.002378</td>\n",
                            "      <td>1.0</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "    Agriculture, forestry, fishing, and hunting    Mining  Utilities  \\\n",
                            "0                                      0.253674  0.000422   0.000000   \n",
                            "1                                      0.004387  0.101734   0.070601   \n",
                            "2                                      0.008746  0.018022   0.044914   \n",
                            "3                                      0.000995  0.002072   0.004047   \n",
                            "4                                      0.017706  0.013936   0.003908   \n",
                            "5                                      0.000710  0.000088   0.000531   \n",
                            "6                                      0.000000  0.000000   0.000000   \n",
                            "7                                      0.000489  0.002194   0.007788   \n",
                            "8                                      0.000300  0.001123   0.001447   \n",
                            "9                                      0.004618  0.005862   0.001853   \n",
                            "10                                     0.000881  0.013917   0.006867   \n",
                            "11                                     0.000006  0.000000   0.000076   \n",
                            "12                                     0.000366  0.000462   0.001474   \n",
                            "13                                     0.000894  0.001194   0.000618   \n",
                            "14                                     0.000004  0.000001   0.000699   \n",
                            "\n",
                            "    Construction  Manufacturing  Wholesale trade  Retail trade  \\\n",
                            "0       0.007586       0.713198         0.003921      0.011624   \n",
                            "1       0.048178       0.640568         0.000045      0.000009   \n",
                            "2       0.009445       0.110612         0.030032      0.065887   \n",
                            "3       0.000128       0.008401         0.001173      0.002642   \n",
                            "4       0.094617       0.392803         0.014787      0.014950   \n",
                            "5       0.000030       0.011993         0.021346      0.009201   \n",
                            "6       0.000000       0.000000         0.000000      0.001131   \n",
                            "7       0.000852       0.040192         0.060391      0.056403   \n",
                            "8       0.004422       0.011668         0.013040      0.015235   \n",
                            "9       0.007773       0.014854         0.026030      0.032159   \n",
                            "10      0.020373       0.087371         0.073179      0.056946   \n",
                            "11      0.000003       0.000049         0.000933      0.002844   \n",
                            "12      0.000693       0.007731         0.006770      0.006331   \n",
                            "13      0.010927       0.028491         0.038671      0.025379   \n",
                            "14      0.000001       0.001150         0.003563      0.001749   \n",
                            "\n",
                            "    Transportation and warehousing  Information  \\\n",
                            "0                         0.000440     0.000000   \n",
                            "1                         0.000403     0.001609   \n",
                            "2                         0.024317     0.010826   \n",
                            "3                         0.003505     0.001453   \n",
                            "4                         0.023130     0.019233   \n",
                            "5                         0.000104     0.001030   \n",
                            "6                         0.000000     0.000000   \n",
                            "7                         0.110229     0.015942   \n",
                            "8                         0.007139     0.122110   \n",
                            "9                         0.018986     0.012215   \n",
                            "10                        0.024060     0.061739   \n",
                            "11                        0.000113     0.000121   \n",
                            "12                        0.013788     0.030571   \n",
                            "13                        0.025893     0.011443   \n",
                            "14                        0.002993     0.000701   \n",
                            "\n",
                            "    Finance, insurance, real estate, rental, and leasing  \\\n",
                            "0                                            0.000038      \n",
                            "1                                            0.000107      \n",
                            "2                                            0.215760      \n",
                            "3                                            0.094959      \n",
                            "4                                            0.018249      \n",
                            "5                                            0.003539      \n",
                            "6                                            0.000000      \n",
                            "7                                            0.032232      \n",
                            "8                                            0.037921      \n",
                            "9                                            0.194722      \n",
                            "10                                           0.147254      \n",
                            "11                                           0.000013      \n",
                            "12                                           0.056716      \n",
                            "13                                           0.051638      \n",
                            "14                                           0.004409      \n",
                            "\n",
                            "    Professional and business services  \\\n",
                            "0                             0.011940   \n",
                            "1                             0.003514   \n",
                            "2                             0.032536   \n",
                            "3                             0.001065   \n",
                            "4                             0.033700   \n",
                            "5                             0.000109   \n",
                            "6                             0.000000   \n",
                            "7                             0.047890   \n",
                            "8                             0.062417   \n",
                            "9                             0.041272   \n",
                            "10                            0.164457   \n",
                            "11                            0.000578   \n",
                            "12                            0.053738   \n",
                            "13                            0.046049   \n",
                            "14                            0.002324   \n",
                            "\n",
                            "    Educational services, health care, and social assistance  \\\n",
                            "0                                            0.000564          \n",
                            "1                                            0.000757          \n",
                            "2                                            0.037546          \n",
                            "3                                            0.000977          \n",
                            "4                                            0.042377          \n",
                            "5                                            0.000172          \n",
                            "6                                            0.000000          \n",
                            "7                                            0.016754          \n",
                            "8                                            0.021848          \n",
                            "9                                            0.045944          \n",
                            "10                                           0.072756          \n",
                            "11                                           0.014515          \n",
                            "12                                           0.038229          \n",
                            "13                                           0.036875          \n",
                            "14                                           0.002161          \n",
                            "\n",
                            "    Arts, entertainment, recreation, accommodation, and food services  \\\n",
                            "0                                            0.022388                   \n",
                            "1                                            0.002712                   \n",
                            "2                                            0.057121                   \n",
                            "3                                            0.001715                   \n",
                            "4                                            0.023618                   \n",
                            "5                                            0.000064                   \n",
                            "6                                            0.000000                   \n",
                            "7                                            0.007632                   \n",
                            "8                                            0.011839                   \n",
                            "9                                            0.022034                   \n",
                            "10                                           0.047468                   \n",
                            "11                                           0.000821                   \n",
                            "12                                           0.026570                   \n",
                            "13                                           0.023770                   \n",
                            "14                                           0.001598                   \n",
                            "\n",
                            "    Other services, except government  Government  Total  \n",
                            "0                            0.000729    0.019849    1.0  \n",
                            "1                            0.001188    0.067561    1.0  \n",
                            "2                            0.007875    0.053328    1.0  \n",
                            "3                            0.002070    0.056682    1.0  \n",
                            "4                            0.012529    0.083696    1.0  \n",
                            "5                            0.000011    0.000021    1.0  \n",
                            "6                            0.000002    0.000000    1.0  \n",
                            "7                            0.003934    0.036600    1.0  \n",
                            "8                            0.009759    0.053840    1.0  \n",
                            "9                            0.011911    0.026566    1.0  \n",
                            "10                           0.013949    0.067031    1.0  \n",
                            "11                           0.001603    0.011886    1.0  \n",
                            "12                           0.005522    0.017093    1.0  \n",
                            "13                           0.013473    0.044054    1.0  \n",
                            "14                           0.000600    0.002378    1.0  "
                        ]
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "df7 = df6.iloc[:,:].div(df6.Total, axis=0)\n",
                "F = df7.iloc[:, :N].to_numpy()\n",
                "df7"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "3e8b620e",
            "metadata": {},
            "source": "### Step 2: Generating Colorcode\n\nImports for step 2:"
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "id": "a3db6279",
            "metadata": {},
            "outputs": [],
            "source": [
                "import numpy as np\n",
                "import matplotlib.cm as cm           # import colormap stuff!"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "9887b198",
            "metadata": {},
            "source": "Define some functions."
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "id": "f5b4d704",
            "metadata": {},
            "outputs": [],
            "source": [
                "def katz_centrality(A, b=1, authority=False):\n",
                "    \"\"\"\n",
                "    Computes the Katz centrality of A, defined as the x solving\n",
                "\n",
                "    x = 1 + b A x    (1 = vector of ones)\n",
                "\n",
                "    Assumes that A is square.\n",
                "\n",
                "    If authority=True, then A is replaced by its transpose.\n",
                "    \"\"\"\n",
                "    n = len(A)\n",
                "    I = np.identity(n)\n",
                "    C = I - b * A.T if authority else I - b * A\n",
                "    return np.linalg.solve(C, np.ones(n))"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "id": "c1d87d61",
            "metadata": {},
            "outputs": [],
            "source": [
                "def to_zero_one(x):\n",
                "    \"Map vector x to the zero one interval.\"\n",
                "    x_min, x_max = x.min(), x.max()\n",
                "    return (x - x_min)/(x_max - x_min)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "659b0626",
            "metadata": {},
            "source": "Calculuate the katz centrality for the networks and use that measure to generate the colorcode."
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "id": "b988dd9d",
            "metadata": {},
            "outputs": [],
            "source": [
                "upstreamness = katz_centrality(F)\n",
                "upstreamness_color_list = cm.plasma(to_zero_one(upstreamness))"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "dae13e62",
            "metadata": {},
            "source": "### Step 3: Visualising the Networks\n\nImports for step 3:"
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "id": "7f6b2a5d",
            "metadata": {},
            "outputs": [],
            "source": [
                "import networkx as nx\n",
                "import matplotlib.pyplot as plt\n",
                "import matplotlib.colors as plc"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "c1491de9",
            "metadata": {},
            "source": "Store the network information using ``NetworkX``."
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "id": "77461231",
            "metadata": {},
            "outputs": [],
            "source": [
                "N = len(F)\n",
                "layout_type = 'spring' # alternative layouts: spring, circular, random, spiral\n",
                "layout_seed = 5432167\n",
                "tol = 0.0\n",
                "node_color_list = upstreamness_color_list\n",
                "node_size_multiple = 0.0005\n",
                "edge_size_multiple = 14"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "id": "ac30a58a",
            "metadata": {},
            "outputs": [],
            "source": [
                "G = nx.DiGraph()\n",
                "\n",
                "# Add nodes and their labels, with weights by sales of the sector\n",
                "for i, w in enumerate(X):\n",
                "    G.add_node(codes[i], weight=w, name=codes[i])\n",
                "\n",
                "# Scale the node size\n",
                "node_sizes = X * node_size_multiple \n",
                "\n",
                "# Choose spring layout, alternatives: spring, circular, random, spiral\n",
                "node_pos_dict = nx.spring_layout(G, seed=layout_seed) \n",
                "\n",
                "# Add the edges, along with their colors and widths\n",
                "edge_colors = []\n",
                "edge_widths = []\n",
                "for i in range(N):\n",
                "    for j in range(N):\n",
                "        a = F[i, j]\n",
                "        if a > tol:\n",
                "            G.add_edge(codes[i], codes[j])\n",
                "            edge_colors.append(node_color_list[i])\n",
                "            width = a * edge_size_multiple\n",
                "            edge_widths.append(width)\n",
                "            \n",
                "G.remove_edges_from(nx.selfloop_edges(G))"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "c6cd196b",
            "metadata": {},
            "source": "Plot the networks."
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "id": "fa9f40bc",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": [
                            "<Figure size 576x720 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "fig, ax = plt.subplots(figsize=(8, 10))\n",
                "plt.axis(\"off\")\n",
                "\n",
                "nx.draw_networkx_nodes(G, \n",
                "                       node_pos_dict, \n",
                "                       node_color=node_color_list, \n",
                "                       node_size=node_sizes, \n",
                "                       edgecolors='grey', \n",
                "                       linewidths=2, \n",
                "                       alpha=0.6, \n",
                "                       ax=ax)\n",
                "\n",
                "nx.draw_networkx_labels(G, \n",
                "                        node_pos_dict, \n",
                "                        font_size=10, \n",
                "                        ax=ax)\n",
                "\n",
                "nx.draw_networkx_edges(G, \n",
                "                       node_pos_dict, \n",
                "                       edge_color=edge_colors, \n",
                "                       width=edge_widths, \n",
                "                       arrows=True, \n",
                "                       arrowsize=20, \n",
                "                       alpha=0.6,  \n",
                "                       ax=ax, \n",
                "                       arrowstyle='->', \n",
                "                       node_size=node_sizes, \n",
                "                       connectionstyle='arc3,rad=0.15')\n",
                "\n",
                "# file_name = \"figures/network1.pdf\"\n",
                "# plt.savefig(file_name)\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "56e67dee",
            "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": "3.9.7"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}