{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "pycharm": { "is_executing": true } }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import os\n", "import plotly.plotly as py\n", "import plotly.graph_objs as go\n", "import plotly" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "pycharm": { "is_executing": true, "metadata": false, "name": "#%%\n" } }, "outputs": [], "source": [ "# Load judge ideology data and crosswalk between state names and codes\n", "#judge_ideology_raw = pd.read_csv('Judge Attribute and Ideology.csv')\n", "#state_geo = 'us-states.json'\n", "#state_name_to_code = pd.read_csv('State Name to Code.csv')\n", "dataDir = r'C:\\Users\\Ian\\Dropbox\\ECON 407 - US Courts & Judges'\n", "judge_ideology_raw = pd.read_csv(os.path.join(dataDir,'Judge Attribute and Ideology.csv'))\n", "state_name_to_code = pd.read_csv(os.path.join(dataDir,r'Mapping\\State Name to Code.csv'))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "pycharm": {} }, "outputs": [ { "data": { "text/html": [ "
\n", " | Year | \n", "State | \n", "StateCode | \n", "Ideology Score | \n", "Absolute Ideology Score | \n", "
---|---|---|---|---|---|
2123 | \n", "1976 | \n", "Nevada | \n", "NV | \n", "-14.399999 | \n", "14.399999 | \n", "
1969 | \n", "1973 | \n", "Nebraska | \n", "NE | \n", "39.649999 | \n", "39.649999 | \n", "
3346 | \n", "2000 | \n", "Nebraska | \n", "NE | \n", "8.387500 | \n", "29.562500 | \n", "
2196 | \n", "1977 | \n", "Wyoming | \n", "WY | \n", "43.399999 | \n", "43.399999 | \n", "
3355 | \n", "2000 | \n", "Oklahoma | \n", "OK | \n", "10.771429 | \n", "24.714286 | \n", "
2680 | \n", "1987 | \n", "Mississippi | \n", "MS | \n", "18.668750 | \n", "18.668750 | \n", "
1831 | \n", "1970 | \n", "Tennessee | \n", "TN | \n", "-9.843750 | \n", "26.043751 | \n", "
266 | \n", "1918 | \n", "Texas | \n", "TX | \n", "-5.300000 | \n", "5.300000 | \n", "
1316 | \n", "1960 | \n", "New Jersey | \n", "NJ | \n", "-12.700000 | \n", "12.785714 | \n", "
3033 | \n", "1994 | \n", "Maryland | \n", "MD | \n", "1.200000 | \n", "28.320000 | \n", "