(N) Analysis - Animal Demographics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy.stats as stat\n",
    "\n",
    "from math import sqrt\n",
    "from mlgear.utils import show, display_columns\n",
    "from surveyweights import normalize_weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Processed Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/peterhurford/.virtualenvs/dev/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3145: DtypeWarning: Columns (3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,78,79,80,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "survey = pd.read_csv('responses_processed_national_weighted.csv').fillna('Not presented')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demographics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## MALE ##\n",
      "vegetarian\n",
      "False    99.199671\n",
      "True      0.800329\n",
      "dtype: float64\n",
      "Raw N: 2371 Weighted N: 879\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         80.686752\n",
      "Disagree       6.695661\n",
      "Don't know    12.617587\n",
      "dtype: float64\n",
      "Raw N: 1909 Weighted N: 713\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided    10.678378\n",
      "Vote against / Oppose     18.201429\n",
      "Vote for / Support        71.120193\n",
      "dtype: float64\n",
      "Raw N: 388 Weighted N: 161\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     5.386925\n",
      "Vote against / Oppose     40.168400\n",
      "Vote for / Support        54.444675\n",
      "dtype: float64\n",
      "Raw N: 399 Weighted N: 148\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.810238\n",
      "Vote against / Oppose     51.327969\n",
      "Vote for / Support        39.861793\n",
      "dtype: float64\n",
      "Raw N: 404 Weighted N: 144\n",
      "-\n",
      "-\n",
      "-\n",
      "## FEMALE ##\n",
      "vegetarian\n",
      "False    97.907994\n",
      "True      2.092006\n",
      "dtype: float64\n",
      "Raw N: 2473 Weighted N: 905\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         78.203776\n",
      "Disagree       3.661958\n",
      "Don't know    18.134266\n",
      "dtype: float64\n",
      "Raw N: 2090 Weighted N: 764\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.565660\n",
      "Vote against / Oppose     10.734237\n",
      "Vote for / Support        84.700104\n",
      "dtype: float64\n",
      "Raw N: 429 Weighted N: 149\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    20.340361\n",
      "Vote against / Oppose     31.527923\n",
      "Vote for / Support        48.131716\n",
      "dtype: float64\n",
      "Raw N: 414 Weighted N: 145\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.716760\n",
      "Vote against / Oppose     39.642102\n",
      "Vote for / Support        50.641138\n",
      "dtype: float64\n",
      "Raw N: 391 Weighted N: 152\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-12-229e0ff983bd>:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:15: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:39: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:49: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:58: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:66: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:74: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-12-229e0ff983bd>:82: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## MALE ##')\n",
    "options = ['Don’t know / Undecided', 'Vote against / Oppose', 'Vote for / Support']\n",
    "options2 = ['Agree', 'Disagree', 'Don\\'t know']\n",
    "\n",
    "survey_ = survey[survey['gender'] == 'Male']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## FEMALE ##')\n",
    "survey_ = survey[survey['gender'] == 'Female']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## WHITE ##\n",
      "vegetarian\n",
      "False    98.695945\n",
      "True      1.304055\n",
      "dtype: float64\n",
      "Raw N: 3201 Weighted N: 1192\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         76.887717\n",
      "Disagree       5.791094\n",
      "Don't know    17.321189\n",
      "dtype: float64\n",
      "Raw N: 2821 Weighted N: 1053\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.091236\n",
      "Vote against / Oppose     14.576891\n",
      "Vote for / Support        80.331873\n",
      "dtype: float64\n",
      "Raw N: 562 Weighted N: 217\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.070249\n",
      "Vote against / Oppose     44.854845\n",
      "Vote for / Support        48.074906\n",
      "dtype: float64\n",
      "Raw N: 579 Weighted N: 208\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     6.364622\n",
      "Vote against / Oppose     38.026220\n",
      "Vote for / Support        55.609158\n",
      "dtype: float64\n",
      "Raw N: 560 Weighted N: 216\n",
      "-\n",
      "## BLACK ##\n",
      "vegetarian\n",
      "False    98.749399\n",
      "True      1.250601\n",
      "dtype: float64\n",
      "Raw N: 427 Weighted N: 156\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         86.827143\n",
      "Disagree       3.943330\n",
      "Don't know     9.229527\n",
      "dtype: float64\n",
      "Raw N: 380 Weighted N: 134\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided    27.127520\n",
      "Vote against / Oppose     22.552485\n",
      "Vote for / Support        50.319995\n",
      "dtype: float64\n",
      "Raw N: 75 Weighted N: 32\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    43.080797\n",
      "Vote against / Oppose     10.438456\n",
      "Vote for / Support        46.480747\n",
      "dtype: float64\n",
      "Raw N: 71 Weighted N: 21\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    15.576462\n",
      "Vote against / Oppose     54.894481\n",
      "Vote for / Support        29.529058\n",
      "dtype: float64\n",
      "Raw N: 77 Weighted N: 28\n",
      "-\n",
      "## HISPANIC ##\n",
      "vegetarian\n",
      "False    98.844554\n",
      "True      1.155446\n",
      "dtype: float64\n",
      "Raw N: 386 Weighted N: 159\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         81.290284\n",
      "Disagree       1.782078\n",
      "Don't know    16.927638\n",
      "dtype: float64\n",
      "Raw N: 270 Weighted N: 109\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     1.918242\n",
      "Vote against / Oppose      3.176025\n",
      "Vote for / Support        94.905733\n",
      "dtype: float64\n",
      "Raw N: 56 Weighted N: 20\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     0.951699\n",
      "Vote against / Oppose     20.638946\n",
      "Vote for / Support        78.409354\n",
      "dtype: float64\n",
      "Raw N: 46 Weighted N: 22\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    12.494296\n",
      "Vote against / Oppose     63.293688\n",
      "Vote for / Support        24.212017\n",
      "dtype: float64\n",
      "Raw N: 64 Weighted N: 25\n",
      "-\n",
      "## ASIAN ##\n",
      "vegetarian\n",
      "False    94.430478\n",
      "True      5.569522\n",
      "dtype: float64\n",
      "Raw N: 783 Weighted N: 323\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         87.585343\n",
      "Disagree       5.034626\n",
      "Don't know     7.380031\n",
      "dtype: float64\n",
      "Raw N: 496 Weighted N: 207\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     3.589725\n",
      "Vote against / Oppose      7.590657\n",
      "Vote for / Support        88.819617\n",
      "dtype: float64\n",
      "Raw N: 111 Weighted N: 40\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     5.583975\n",
      "Vote against / Oppose     13.977831\n",
      "Vote for / Support        80.438194\n",
      "dtype: float64\n",
      "Raw N: 105 Weighted N: 50\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    13.713846\n",
      "Vote against / Oppose     56.102655\n",
      "Vote for / Support        30.183499\n",
      "dtype: float64\n",
      "Raw N: 94 Weighted N: 45\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-13-acd07e8cc2a6>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:45: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:54: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:62: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:70: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:78: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:87: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:96: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:104: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:112: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:120: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:129: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:138: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:146: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:154: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-13-acd07e8cc2a6>:162: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## WHITE ##')\n",
    "survey_ = survey[survey['race'] == 'White or Caucasian']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "\n",
    "print('## BLACK ##')\n",
    "survey_ = survey[survey['race'] == 'Black or African American']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "\n",
    "print('## HISPANIC ##')\n",
    "survey_ = survey[survey['race'] == 'Hispanic or Latino']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "\n",
    "print('## ASIAN ##')\n",
    "survey_ = survey[survey['race'] == 'Asian or Asian American']\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## COLLEGE ##\n",
      "vegetarian\n",
      "False    98.030111\n",
      "True      1.969889\n",
      "dtype: float64\n",
      "Raw N: 4266 Weighted N: 1689\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         76.168136\n",
      "Disagree       5.360389\n",
      "Don't know    18.471475\n",
      "dtype: float64\n",
      "Raw N: 3522 Weighted N: 1402\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     6.707969\n",
      "Vote against / Oppose     15.059087\n",
      "Vote for / Support        78.232944\n",
      "dtype: float64\n",
      "Raw N: 717 Weighted N: 293\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.629967\n",
      "Vote against / Oppose     37.963625\n",
      "Vote for / Support        54.406408\n",
      "dtype: float64\n",
      "Raw N: 691 Weighted N: 294\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.491316\n",
      "Vote against / Oppose     49.290434\n",
      "Vote for / Support        41.218250\n",
      "dtype: float64\n",
      "Raw N: 723 Weighted N: 273\n",
      "-\n",
      "-\n",
      "-\n",
      "## NONCOLLEGE ##\n",
      "vegetarian\n",
      "False    99.345103\n",
      "True      0.654897\n",
      "dtype: float64\n",
      "Raw N: 667 Weighted N: 244\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         84.565297\n",
      "Disagree       4.652095\n",
      "Don't know    10.782608\n",
      "dtype: float64\n",
      "Raw N: 553 Weighted N: 200\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     6.661223\n",
      "Vote against / Oppose     10.752182\n",
      "Vote for / Support        82.586595\n",
      "dtype: float64\n",
      "Raw N: 116 Weighted N: 45\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    18.011939\n",
      "Vote against / Oppose     33.733492\n",
      "Vote for / Support        48.254569\n",
      "dtype: float64\n",
      "Raw N: 134 Weighted N: 43\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.210912\n",
      "Vote against / Oppose     38.895223\n",
      "Vote for / Support        52.893865\n",
      "dtype: float64\n",
      "Raw N: 91 Weighted N: 37\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-14-7a76eaf74b4e>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:46: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:55: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:63: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:71: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-14-7a76eaf74b4e>:79: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## COLLEGE ##')\n",
    "survey_ = survey[survey['college']]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## NONCOLLEGE ##')\n",
    "survey_ = survey[~survey['college']]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## NON-COLLEGE WHITE ##\n",
      "vegetarian\n",
      "False    99.423682\n",
      "True      0.576318\n",
      "dtype: float64\n",
      "Raw N: 426 Weighted N: 154\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         82.979935\n",
      "Disagree       5.780672\n",
      "Don't know    11.239394\n",
      "dtype: float64\n",
      "Raw N: 378 Weighted N: 138\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.561109\n",
      "Vote against / Oppose     10.992615\n",
      "Vote for / Support        84.446276\n",
      "dtype: float64\n",
      "Raw N: 78 Weighted N: 31\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     5.657583\n",
      "Vote against / Oppose     49.004833\n",
      "Vote for / Support        45.337584\n",
      "dtype: float64\n",
      "Raw N: 88 Weighted N: 30\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.405996\n",
      "Vote against / Oppose     27.505326\n",
      "Vote for / Support        63.088678\n",
      "dtype: float64\n",
      "Raw N: 62 Weighted N: 26\n",
      "-\n",
      "-\n",
      "-\n",
      "## NON-NCW ##\n",
      "vegetarian\n",
      "False    98.20794\n",
      "True      1.79206\n",
      "dtype: float64\n",
      "Raw N: 4507 Weighted N: 1739\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         77.941082\n",
      "Disagree       4.870772\n",
      "Don't know    17.188146\n",
      "dtype: float64\n",
      "Raw N: 3697 Weighted N: 1432\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     7.463723\n",
      "Vote against / Oppose     14.136730\n",
      "Vote for / Support        78.399548\n",
      "dtype: float64\n",
      "Raw N: 755 Weighted N: 295\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    16.232233\n",
      "Vote against / Oppose     29.434355\n",
      "Vote for / Support        54.333411\n",
      "dtype: float64\n",
      "Raw N: 737 Weighted N: 291\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.120839\n",
      "Vote against / Oppose     50.520613\n",
      "Vote for / Support        40.358549\n",
      "dtype: float64\n",
      "Raw N: 752 Weighted N: 282\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-15-138846c9abca>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:46: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:55: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:63: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:71: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-15-138846c9abca>:79: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## NON-COLLEGE WHITE ##')\n",
    "survey_ = survey[survey['noncollege_white']]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## NON-NCW ##')\n",
    "survey_ = survey[~survey['noncollege_white']]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## AGES 18-44 ##\n",
      "vegetarian\n",
      "False    97.810531\n",
      "True      2.189469\n",
      "dtype: float64\n",
      "Raw N: 4055 Weighted N: 1678\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         82.876293\n",
      "Disagree       6.324254\n",
      "Don't know    10.799453\n",
      "dtype: float64\n",
      "Raw N: 3305 Weighted N: 1378\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     9.095403\n",
      "Vote against / Oppose     16.075341\n",
      "Vote for / Support        74.829256\n",
      "dtype: float64\n",
      "Raw N: 675 Weighted N: 282\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    17.495950\n",
      "Vote against / Oppose     18.071973\n",
      "Vote for / Support        64.432077\n",
      "dtype: float64\n",
      "Raw N: 678 Weighted N: 264\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    14.186342\n",
      "Vote against / Oppose     47.553593\n",
      "Vote for / Support        38.260065\n",
      "dtype: float64\n",
      "Raw N: 657 Weighted N: 300\n",
      "-\n",
      "-\n",
      "-\n",
      "## AGES 45+ ##\n",
      "vegetarian\n",
      "False    99.103864\n",
      "True      0.896136\n",
      "dtype: float64\n",
      "Raw N: 878 Weighted N: 404\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         76.295342\n",
      "Disagree       4.122500\n",
      "Don't know    19.582158\n",
      "dtype: float64\n",
      "Raw N: 770 Weighted N: 355\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.834962\n",
      "Vote against / Oppose     11.157390\n",
      "Vote for / Support        84.007648\n",
      "dtype: float64\n",
      "Raw N: 158 Weighted N: 76\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.584971\n",
      "Vote against / Oppose     55.262235\n",
      "Vote for / Support        37.152794\n",
      "dtype: float64\n",
      "Raw N: 147 Weighted N: 68\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     6.138712\n",
      "Vote against / Oppose     46.136434\n",
      "Vote for / Support        47.724854\n",
      "dtype: float64\n",
      "Raw N: 157 Weighted N: 69\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-16-251fe5ebe0b1>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:46: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:55: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:63: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:71: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-16-251fe5ebe0b1>:79: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## AGES 18-44 ##')\n",
    "survey_ = survey[survey['age'].isin(['18-24', '25-44'])]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## AGES 45+ ##')\n",
    "survey_ = survey[survey['age'].isin(['45-64', '65+'])]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## UNDER $50K ##\n",
      "vegetarian\n",
      "False    98.408725\n",
      "True      1.591275\n",
      "dtype: float64\n",
      "Raw N: 2697 Weighted N: 964\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         78.619102\n",
      "Disagree       4.379877\n",
      "Don't know    17.001021\n",
      "dtype: float64\n",
      "Raw N: 2271 Weighted N: 817\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     9.779648\n",
      "Vote against / Oppose     14.411395\n",
      "Vote for / Support        75.808957\n",
      "dtype: float64\n",
      "Raw N: 455 Weighted N: 169\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    23.528329\n",
      "Vote against / Oppose     29.094417\n",
      "Vote for / Support        47.377254\n",
      "dtype: float64\n",
      "Raw N: 471 Weighted N: 150\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    10.599631\n",
      "Vote against / Oppose     35.265632\n",
      "Vote for / Support        54.134736\n",
      "dtype: float64\n",
      "Raw N: 459 Weighted N: 166\n",
      "-\n",
      "-\n",
      "-\n",
      "## ABOVE $50K ##\n",
      "vegetarian\n",
      "False    98.564407\n",
      "True      1.435593\n",
      "dtype: float64\n",
      "Raw N: 2236 Weighted N: 886\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.585035\n",
      "Disagree       5.532526\n",
      "Don't know    14.882438\n",
      "dtype: float64\n",
      "Raw N: 1804 Weighted N: 719\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.948706\n",
      "Vote against / Oppose     12.670189\n",
      "Vote for / Support        82.381106\n",
      "dtype: float64\n",
      "Raw N: 378 Weighted N: 150\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     3.626088\n",
      "Vote against / Oppose     41.619768\n",
      "Vote for / Support        54.754144\n",
      "dtype: float64\n",
      "Raw N: 354 Weighted N: 146\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.222264\n",
      "Vote against / Oppose     54.210936\n",
      "Vote for / Support        37.566800\n",
      "dtype: float64\n",
      "Raw N: 355 Weighted N: 143\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-17-65f68bd0d049>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:46: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:55: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:63: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:71: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-17-65f68bd0d049>:79: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## UNDER $50K ##')\n",
    "survey_ = survey[survey['income'].isin(['Under $15,000', 'Between $15,000 and $49,999'])]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## ABOVE $50K ##')\n",
    "survey_ = survey[~survey['income'].isin(['Under $15,000', 'Between $15,000 and $49,999'])]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## SOUTH ##\n",
      "vegetarian\n",
      "False    99.409566\n",
      "True      0.590434\n",
      "dtype: float64\n",
      "Raw N: 833 Weighted N: 298\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         83.790961\n",
      "Disagree       5.001281\n",
      "Don't know    11.207758\n",
      "dtype: float64\n",
      "Raw N: 827 Weighted N: 294\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided    17.512895\n",
      "Vote against / Oppose     13.870474\n",
      "Vote for / Support        68.616631\n",
      "dtype: float64\n",
      "Raw N: 168 Weighted N: 72\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    10.318223\n",
      "Vote against / Oppose     22.625731\n",
      "Vote for / Support        67.056046\n",
      "dtype: float64\n",
      "Raw N: 153 Weighted N: 57\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.675834\n",
      "Vote against / Oppose     50.681204\n",
      "Vote for / Support        40.642962\n",
      "dtype: float64\n",
      "Raw N: 176 Weighted N: 59\n",
      "-\n",
      "-\n",
      "-\n",
      "## NORTHEAST ##\n",
      "vegetarian\n",
      "False    97.466381\n",
      "True      2.533619\n",
      "dtype: float64\n",
      "Raw N: 845 Weighted N: 298\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         82.172779\n",
      "Disagree       3.148835\n",
      "Don't know    14.678386\n",
      "dtype: float64\n",
      "Raw N: 840 Weighted N: 296\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.112568\n",
      "Vote against / Oppose      7.465278\n",
      "Vote for / Support        87.422155\n",
      "dtype: float64\n",
      "Raw N: 199 Weighted N: 70\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    29.347383\n",
      "Vote against / Oppose     36.369694\n",
      "Vote for / Support        34.282923\n",
      "dtype: float64\n",
      "Raw N: 157 Weighted N: 51\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     1.783641\n",
      "Vote against / Oppose     49.779571\n",
      "Vote for / Support        48.436788\n",
      "dtype: float64\n",
      "Raw N: 167 Weighted N: 62\n",
      "-\n",
      "-\n",
      "-\n",
      "## PACIFIC ##\n",
      "vegetarian\n",
      "False    98.754764\n",
      "True      1.245236\n",
      "dtype: float64\n",
      "Raw N: 1249 Weighted N: 485\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         78.602351\n",
      "Disagree       7.691356\n",
      "Don't know    13.706293\n",
      "dtype: float64\n",
      "Raw N: 410 Weighted N: 164\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     1.184532\n",
      "Vote against / Oppose     38.741863\n",
      "Vote for / Support        60.073604\n",
      "dtype: float64\n",
      "Raw N: 81 Weighted N: 28\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     3.555646\n",
      "Vote against / Oppose     32.622558\n",
      "Vote for / Support        63.821795\n",
      "dtype: float64\n",
      "Raw N: 85 Weighted N: 39\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     5.923265\n",
      "Vote against / Oppose     42.129049\n",
      "Vote for / Support        51.947686\n",
      "dtype: float64\n",
      "Raw N: 92 Weighted N: 38\n",
      "-\n",
      "-\n",
      "-\n",
      "## SOUTHEAST ##\n",
      "vegetarian\n",
      "False    98.677474\n",
      "True      1.322526\n",
      "dtype: float64\n",
      "Raw N: 696 Weighted N: 263\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         69.102083\n",
      "Disagree       5.043367\n",
      "Don't know    25.854550\n",
      "dtype: float64\n",
      "Raw N: 694 Weighted N: 262\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     3.090022\n",
      "Vote against / Oppose     10.983370\n",
      "Vote for / Support        85.926608\n",
      "dtype: float64\n",
      "Raw N: 126 Weighted N: 40\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     4.948333\n",
      "Vote against / Oppose     44.713984\n",
      "Vote for / Support        50.337683\n",
      "dtype: float64\n",
      "Raw N: 156 Weighted N: 57\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    17.124304\n",
      "Vote against / Oppose     34.277526\n",
      "Vote for / Support        48.598170\n",
      "dtype: float64\n",
      "Raw N: 129 Weighted N: 48\n",
      "-\n",
      "-\n",
      "-\n",
      "## MIDWEST ##\n",
      "vegetarian\n",
      "False    98.829386\n",
      "True      1.170614\n",
      "dtype: float64\n",
      "Raw N: 932 Weighted N: 338\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         75.287306\n",
      "Disagree       7.573839\n",
      "Don't know    17.138856\n",
      "dtype: float64\n",
      "Raw N: 929 Weighted N: 344\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.528674\n",
      "Vote against / Oppose     10.883760\n",
      "Vote for / Support        84.587566\n",
      "dtype: float64\n",
      "Raw N: 180 Weighted N: 62\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     5.595973\n",
      "Vote against / Oppose     42.793531\n",
      "Vote for / Support        51.610496\n",
      "dtype: float64\n",
      "Raw N: 188 Weighted N: 69\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     7.401695\n",
      "Vote against / Oppose     60.082408\n",
      "Vote for / Support        32.515897\n",
      "dtype: float64\n",
      "Raw N: 178 Weighted N: 73\n",
      "-\n",
      "-\n",
      "-\n",
      "## SOUTHWEST ##\n",
      "vegetarian\n",
      "False    96.376316\n",
      "True      3.623684\n",
      "dtype: float64\n",
      "Raw N: 198 Weighted N: 85\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         81.377480\n",
      "Disagree       4.813612\n",
      "Don't know    13.808908\n",
      "dtype: float64\n",
      "Raw N: 195 Weighted N: 84\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     3.101338\n",
      "Vote against / Oppose     23.616235\n",
      "Vote for / Support        73.282427\n",
      "dtype: float64\n",
      "Raw N: 46 Weighted N: 23\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    25.282576\n",
      "Vote against / Oppose     41.943249\n",
      "Vote for / Support        32.774175\n",
      "dtype: float64\n",
      "Raw N: 40 Weighted N: 19\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     2.180490\n",
      "Vote against / Oppose     19.317117\n",
      "Vote for / Support        78.502393\n",
      "dtype: float64\n",
      "Raw N: 39 Weighted N: 14\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-4001c6381b78>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-18-4001c6381b78>:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-18-4001c6381b78>:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-18-4001c6381b78>:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-18-4001c6381b78>:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for region in survey['region'].unique():\n",
    "    if region != 'Other' and region != 'Mountains':\n",
    "        print('-')\n",
    "        print('-')\n",
    "        print('## {} ##'.format(region.upper()))\n",
    "        survey_ = survey[survey['region'] == region]\n",
    "        survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "        print('vegetarian')\n",
    "        print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('agree_pain_fish')\n",
    "        survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_cage_free')\n",
    "        survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_alt_protein_funding')\n",
    "        survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_no_labeling')\n",
    "        survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## RURAL ##\n",
      "vegetarian\n",
      "False    98.597852\n",
      "True      1.402148\n",
      "dtype: float64\n",
      "Raw N: 590 Weighted N: 213\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         83.376535\n",
      "Disagree       2.603173\n",
      "Don't know    14.020291\n",
      "dtype: float64\n",
      "Raw N: 560 Weighted N: 202\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.635560\n",
      "Vote against / Oppose     12.587962\n",
      "Vote for / Support        81.776478\n",
      "dtype: float64\n",
      "Raw N: 107 Weighted N: 30\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     1.990211\n",
      "Vote against / Oppose     37.690085\n",
      "Vote for / Support        60.319704\n",
      "dtype: float64\n",
      "Raw N: 109 Weighted N: 35\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    12.534224\n",
      "Vote against / Oppose     39.896037\n",
      "Vote for / Support        47.569738\n",
      "dtype: float64\n",
      "Raw N: 109 Weighted N: 43\n",
      "-\n",
      "-\n",
      "-\n",
      "## URBAN ##\n",
      "vegetarian\n",
      "False    98.307949\n",
      "True      1.692051\n",
      "dtype: float64\n",
      "Raw N: 1637 Weighted N: 630\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.986509\n",
      "Disagree       6.342998\n",
      "Don't know    13.670493\n",
      "dtype: float64\n",
      "Raw N: 1305 Weighted N: 499\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     6.321539\n",
      "Vote against / Oppose     18.482412\n",
      "Vote for / Support        75.196049\n",
      "dtype: float64\n",
      "Raw N: 300 Weighted N: 112\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    27.531274\n",
      "Vote against / Oppose     20.679119\n",
      "Vote for / Support        51.789607\n",
      "dtype: float64\n",
      "Raw N: 255 Weighted N: 87\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.031809\n",
      "Vote against / Oppose     24.214717\n",
      "Vote for / Support        66.753474\n",
      "dtype: float64\n",
      "Raw N: 261 Weighted N: 112\n",
      "-\n",
      "-\n",
      "-\n",
      "## SUBURBAN ##\n",
      "vegetarian\n",
      "False    98.594797\n",
      "True      1.405203\n",
      "dtype: float64\n",
      "Raw N: 2706 Weighted N: 975\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         77.680413\n",
      "Disagree       5.118035\n",
      "Don't know    17.201552\n",
      "dtype: float64\n",
      "Raw N: 2210 Weighted N: 804\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     7.398989\n",
      "Vote against / Oppose      9.935055\n",
      "Vote for / Support        82.665956\n",
      "dtype: float64\n",
      "Raw N: 426 Weighted N: 173\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.261509\n",
      "Vote against / Oppose     45.042465\n",
      "Vote for / Support        47.696026\n",
      "dtype: float64\n",
      "Raw N: 461 Weighted N: 176\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.658218\n",
      "Vote against / Oppose     56.686132\n",
      "Vote for / Support        34.655650\n",
      "dtype: float64\n",
      "Raw N: 444 Weighted N: 151\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-19-6bd47de0e7aa>:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-19-6bd47de0e7aa>:15: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-19-6bd47de0e7aa>:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-19-6bd47de0e7aa>:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-19-6bd47de0e7aa>:39: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for region in survey['urban_rural'].unique():\n",
    "    print('-')\n",
    "    print('-')\n",
    "    print('## {} ##'.format(region.upper()))\n",
    "    survey_ = survey[survey['urban_rural'] == region]\n",
    "    survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "    print('vegetarian')\n",
    "    print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('agree_pain_fish')\n",
    "    survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_cage_free')\n",
    "    survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_alt_protein_funding')\n",
    "    survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_no_labeling')\n",
    "    survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## BOOK OF FABLES ##\n",
      "vegetarian\n",
      "False    96.54749\n",
      "True      3.45251\n",
      "dtype: float64\n",
      "Raw N: 2425 Weighted N: 978\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.094476\n",
      "Disagree       4.616511\n",
      "Don't know    16.289012\n",
      "dtype: float64\n",
      "Raw N: 2004 Weighted N: 815\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     6.372089\n",
      "Vote against / Oppose      8.383904\n",
      "Vote for / Support        85.244006\n",
      "dtype: float64\n",
      "Raw N: 421 Weighted N: 177\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     6.683316\n",
      "Vote against / Oppose     15.442384\n",
      "Vote for / Support        77.874300\n",
      "dtype: float64\n",
      "Raw N: 396 Weighted N: 156\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    12.098455\n",
      "Vote against / Oppose     54.556460\n",
      "Vote for / Support        33.345085\n",
      "dtype: float64\n",
      "Raw N: 418 Weighted N: 170\n",
      "-\n",
      "-\n",
      "-\n",
      "## WORD OF GOD ##\n",
      "vegetarian\n",
      "False    99.680494\n",
      "True      0.319506\n",
      "dtype: float64\n",
      "Raw N: 513 Weighted N: 201\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         81.334983\n",
      "Disagree       6.367814\n",
      "Don't know    12.297202\n",
      "dtype: float64\n",
      "Raw N: 427 Weighted N: 164\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided    13.847261\n",
      "Vote against / Oppose     15.773782\n",
      "Vote for / Support        70.378957\n",
      "dtype: float64\n",
      "Raw N: 89 Weighted N: 40\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.621746\n",
      "Vote against / Oppose     48.677077\n",
      "Vote for / Support        43.701177\n",
      "dtype: float64\n",
      "Raw N: 82 Weighted N: 29\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     1.579324\n",
      "Vote against / Oppose     59.379970\n",
      "Vote for / Support        39.040706\n",
      "dtype: float64\n",
      "Raw N: 85 Weighted N: 31\n",
      "-\n",
      "-\n",
      "-\n",
      "## INSPIRED WORD ##\n",
      "vegetarian\n",
      "False    98.53471\n",
      "True      1.46529\n",
      "dtype: float64\n",
      "Raw N: 1741 Weighted N: 716\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         78.693646\n",
      "Disagree       4.712709\n",
      "Don't know    16.593645\n",
      "dtype: float64\n",
      "Raw N: 1446 Weighted N: 597\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     3.921477\n",
      "Vote against / Oppose     16.815486\n",
      "Vote for / Support        79.263037\n",
      "dtype: float64\n",
      "Raw N: 286 Weighted N: 114\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    19.557746\n",
      "Vote against / Oppose     38.025213\n",
      "Vote for / Support        42.417041\n",
      "dtype: float64\n",
      "Raw N: 304 Weighted N: 123\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    12.571818\n",
      "Vote against / Oppose     37.936464\n",
      "Vote for / Support        49.491718\n",
      "dtype: float64\n",
      "Raw N: 270 Weighted N: 119\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-20-f77c1da28539>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-20-f77c1da28539>:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-20-f77c1da28539>:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-20-f77c1da28539>:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-20-f77c1da28539>:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for opinion in survey['gss_bible'].unique():\n",
    "    if opinion != 'I don’t know':\n",
    "        print('-')\n",
    "        print('-')\n",
    "        print('## {} ##'.format(opinion.upper()))\n",
    "        survey_ = survey[survey['gss_bible'] == opinion]\n",
    "        survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "        print('vegetarian')\n",
    "        print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('agree_pain_fish')\n",
    "        survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_cage_free')\n",
    "        survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_alt_protein_funding')\n",
    "        survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_no_labeling')\n",
    "        survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## CAN'T BE TOO CAREFUL ##\n",
      "vegetarian\n",
      "False    98.569106\n",
      "True      1.430894\n",
      "dtype: float64\n",
      "Raw N: 3049 Weighted N: 1111\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         76.788569\n",
      "Disagree       5.291058\n",
      "Don't know    17.920372\n",
      "dtype: float64\n",
      "Raw N: 2513 Weighted N: 920\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     7.462871\n",
      "Vote against / Oppose     10.327835\n",
      "Vote for / Support        82.209294\n",
      "dtype: float64\n",
      "Raw N: 513 Weighted N: 182\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    16.012795\n",
      "Vote against / Oppose     31.155537\n",
      "Vote for / Support        52.831668\n",
      "dtype: float64\n",
      "Raw N: 512 Weighted N: 181\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    13.127481\n",
      "Vote against / Oppose     43.344014\n",
      "Vote for / Support        43.528506\n",
      "dtype: float64\n",
      "Raw N: 506 Weighted N: 204\n",
      "-\n",
      "-\n",
      "-\n",
      "## CAN TRUST ##\n",
      "vegetarian\n",
      "False    98.451298\n",
      "True      1.548702\n",
      "dtype: float64\n",
      "Raw N: 1680 Weighted N: 630\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         84.684619\n",
      "Disagree       4.979492\n",
      "Don't know    10.335890\n",
      "dtype: float64\n",
      "Raw N: 1408 Weighted N: 530\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.077843\n",
      "Vote against / Oppose     21.548805\n",
      "Vote for / Support        74.373353\n",
      "dtype: float64\n",
      "Raw N: 289 Weighted N: 118\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     8.272997\n",
      "Vote against / Oppose     41.054884\n",
      "Vote for / Support        50.672119\n",
      "dtype: float64\n",
      "Raw N: 284 Weighted N: 111\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     4.042935\n",
      "Vote against / Oppose     52.038691\n",
      "Vote for / Support        43.918373\n",
      "dtype: float64\n",
      "Raw N: 276 Weighted N: 91\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-21-6bb63623f597>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-21-6bb63623f597>:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-21-6bb63623f597>:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-21-6bb63623f597>:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-21-6bb63623f597>:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for opinion in survey['gss_trust'].unique():\n",
    "    if opinion != 'Don’t know':\n",
    "        print('-')\n",
    "        print('-')\n",
    "        print('## {} ##'.format(opinion.upper()))\n",
    "        survey_ = survey[survey['gss_trust'] == opinion]\n",
    "        survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "        print('vegetarian')\n",
    "        print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('agree_pain_fish')\n",
    "        survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_cage_free')\n",
    "        survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_alt_protein_funding')\n",
    "        survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_no_labeling')\n",
    "        survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## AGREE ##\n",
      "vegetarian\n",
      "False    99.063127\n",
      "True      0.936873\n",
      "dtype: float64\n",
      "Raw N: 1579 Weighted N: 643\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         80.088431\n",
      "Disagree       6.015640\n",
      "Don't know    13.895929\n",
      "dtype: float64\n",
      "Raw N: 1314 Weighted N: 535\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     6.464331\n",
      "Vote against / Oppose     17.482594\n",
      "Vote for / Support        76.053075\n",
      "dtype: float64\n",
      "Raw N: 276 Weighted N: 111\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    15.525996\n",
      "Vote against / Oppose     38.554675\n",
      "Vote for / Support        45.919329\n",
      "dtype: float64\n",
      "Raw N: 264 Weighted N: 96\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    12.486418\n",
      "Vote against / Oppose     35.977507\n",
      "Vote for / Support        51.536075\n",
      "dtype: float64\n",
      "Raw N: 257 Weighted N: 114\n",
      "-\n",
      "-\n",
      "-\n",
      "## DISAGREE ##\n",
      "vegetarian\n",
      "False    97.752281\n",
      "True      2.247719\n",
      "dtype: float64\n",
      "Raw N: 2595 Weighted N: 969\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         80.533831\n",
      "Disagree       4.391071\n",
      "Don't know    15.075098\n",
      "dtype: float64\n",
      "Raw N: 2141 Weighted N: 803\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     3.590618\n",
      "Vote against / Oppose      6.807919\n",
      "Vote for / Support        89.601463\n",
      "dtype: float64\n",
      "Raw N: 441 Weighted N: 171\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     7.407723\n",
      "Vote against / Oppose     31.361986\n",
      "Vote for / Support        61.230291\n",
      "dtype: float64\n",
      "Raw N: 427 Weighted N: 173\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     6.999164\n",
      "Vote against / Oppose     57.886957\n",
      "Vote for / Support        35.113879\n",
      "dtype: float64\n",
      "Raw N: 427 Weighted N: 154\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-22-6313143c6c20>:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-22-6313143c6c20>:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-22-6313143c6c20>:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-22-6313143c6c20>:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-22-6313143c6c20>:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for opinion in survey['gss_spanking'].unique():\n",
    "    if opinion != 'Don\\'t know':\n",
    "        print('-')\n",
    "        print('-')\n",
    "        print('## {} ##'.format(opinion.upper()))\n",
    "        survey_ = survey[survey['gss_spanking'] == opinion]\n",
    "        survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "        print('vegetarian')\n",
    "        print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('agree_pain_fish')\n",
    "        survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_cage_free')\n",
    "        survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_alt_protein_funding')\n",
    "        survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')\n",
    "\n",
    "        print('vote_measure_no_labeling')\n",
    "        survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "        survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "        print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "        weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "        print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "        print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## TWITTER USERS ##\n",
      "vegetarian\n",
      "False    98.12095\n",
      "True      1.87905\n",
      "dtype: float64\n",
      "Raw N: 2797 Weighted N: 1185\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.228400\n",
      "Disagree       8.641516\n",
      "Don't know    12.130084\n",
      "dtype: float64\n",
      "Raw N: 2291 Weighted N: 968\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     9.979588\n",
      "Vote against / Oppose     23.332644\n",
      "Vote for / Support        66.687768\n",
      "dtype: float64\n",
      "Raw N: 484 Weighted N: 209\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     8.992571\n",
      "Vote against / Oppose     22.792444\n",
      "Vote for / Support        68.214985\n",
      "dtype: float64\n",
      "Raw N: 440 Weighted N: 191\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    13.450193\n",
      "Vote against / Oppose     43.432942\n",
      "Vote for / Support        43.116864\n",
      "dtype: float64\n",
      "Raw N: 442 Weighted N: 191\n",
      "-\n",
      "-\n",
      "-\n",
      "## NON-TWITTER USERS ##\n",
      "vegetarian\n",
      "False    98.618194\n",
      "True      1.381806\n",
      "dtype: float64\n",
      "Raw N: 2136 Weighted N: 861\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.223694\n",
      "Disagree       4.108226\n",
      "Don't know    16.668081\n",
      "dtype: float64\n",
      "Raw N: 1784 Weighted N: 724\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.709319\n",
      "Vote against / Oppose     10.310265\n",
      "Vote for / Support        83.980416\n",
      "dtype: float64\n",
      "Raw N: 349 Weighted N: 145\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    13.597382\n",
      "Vote against / Oppose     38.823649\n",
      "Vote for / Support        47.578969\n",
      "dtype: float64\n",
      "Raw N: 385 Weighted N: 146\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.056737\n",
      "Vote against / Oppose     47.510535\n",
      "Vote for / Support        44.432729\n",
      "dtype: float64\n",
      "Raw N: 372 Weighted N: 150\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-23-3bcfefba0c5b>:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-23-3bcfefba0c5b>:15: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-23-3bcfefba0c5b>:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-23-3bcfefba0c5b>:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-23-3bcfefba0c5b>:39: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for opinion in survey['social_twitter'].unique():\n",
    "    print('-')\n",
    "    print('-')\n",
    "    print('## {} ##'.format('TWITTER USERS' if opinion else 'NON-TWITTER USERS'))\n",
    "    survey_ = survey[survey['social_twitter'] == opinion]\n",
    "    survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "    print('vegetarian')\n",
    "    print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('agree_pain_fish')\n",
    "    survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_cage_free')\n",
    "    survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_alt_protein_funding')\n",
    "    survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_no_labeling')\n",
    "    survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "-\n",
      "## FB USERS ##\n",
      "vegetarian\n",
      "False    98.804828\n",
      "True      1.195172\n",
      "dtype: float64\n",
      "Raw N: 3316 Weighted N: 1215\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         78.478496\n",
      "Disagree       4.527239\n",
      "Don't know    16.994266\n",
      "dtype: float64\n",
      "Raw N: 2778 Weighted N: 1025\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.088503\n",
      "Vote against / Oppose     15.528761\n",
      "Vote for / Support        79.382736\n",
      "dtype: float64\n",
      "Raw N: 583 Weighted N: 211\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     5.881771\n",
      "Vote against / Oppose     42.850703\n",
      "Vote for / Support        51.267527\n",
      "dtype: float64\n",
      "Raw N: 536 Weighted N: 218\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     9.524459\n",
      "Vote against / Oppose     48.454597\n",
      "Vote for / Support        42.020944\n",
      "dtype: float64\n",
      "Raw N: 545 Weighted N: 198\n",
      "-\n",
      "-\n",
      "-\n",
      "## NON-FB USERS ##\n",
      "vegetarian\n",
      "False    97.833714\n",
      "True      2.166286\n",
      "dtype: float64\n",
      "Raw N: 1617 Weighted N: 603\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         80.960392\n",
      "Disagree       6.440735\n",
      "Don't know    12.598873\n",
      "dtype: float64\n",
      "Raw N: 1297 Weighted N: 480\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided    11.827324\n",
      "Vote against / Oppose      6.132760\n",
      "Vote for / Support        82.039916\n",
      "dtype: float64\n",
      "Raw N: 250 Weighted N: 104\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    21.089294\n",
      "Vote against / Oppose     27.412028\n",
      "Vote for / Support        51.498678\n",
      "dtype: float64\n",
      "Raw N: 289 Weighted N: 83\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     8.047492\n",
      "Vote against / Oppose     41.048755\n",
      "Vote for / Support        50.903753\n",
      "dtype: float64\n",
      "Raw N: 269 Weighted N: 107\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-24-c898dfeb494e>:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-24-c898dfeb494e>:15: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-24-c898dfeb494e>:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-24-c898dfeb494e>:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-24-c898dfeb494e>:39: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "for opinion in survey['social_fb'].unique():\n",
    "    print('-')\n",
    "    print('-')\n",
    "    print('## {} ##'.format('FB USERS' if opinion else 'NON-FB USERS'))\n",
    "    survey_ = survey[survey['social_fb'] == opinion]\n",
    "    survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "    print('vegetarian')\n",
    "    print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('agree_pain_fish')\n",
    "    survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_cage_free')\n",
    "    survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_alt_protein_funding')\n",
    "    survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')\n",
    "\n",
    "    print('vote_measure_no_labeling')\n",
    "    survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "    survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "    print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "    weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "    print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "    print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## HIGH ELECTION FOCUS ##\n",
      "vegetarian\n",
      "False    98.324775\n",
      "True      1.675225\n",
      "dtype: float64\n",
      "Raw N: 3452 Weighted N: 1273\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.171930\n",
      "Disagree       4.809624\n",
      "Don't know    16.018446\n",
      "dtype: float64\n",
      "Raw N: 2891 Weighted N: 1064\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     5.749945\n",
      "Vote against / Oppose     14.224784\n",
      "Vote for / Support        80.025270\n",
      "dtype: float64\n",
      "Raw N: 580 Weighted N: 217\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    12.372250\n",
      "Vote against / Oppose     35.150108\n",
      "Vote for / Support        52.477643\n",
      "dtype: float64\n",
      "Raw N: 581 Weighted N: 209\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    10.010426\n",
      "Vote against / Oppose     51.717767\n",
      "Vote for / Support        38.271807\n",
      "dtype: float64\n",
      "Raw N: 587 Weighted N: 218\n",
      "-\n",
      "-\n",
      "-\n",
      "## LOW ELECTION FOCUS ##\n",
      "vegetarian\n",
      "False    99.008935\n",
      "True      0.991065\n",
      "dtype: float64\n",
      "Raw N: 1481 Weighted N: 544\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         79.381818\n",
      "Disagree       5.974215\n",
      "Don't know    14.643967\n",
      "dtype: float64\n",
      "Raw N: 1184 Weighted N: 441\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     9.119591\n",
      "Vote against / Oppose     10.896422\n",
      "Vote for / Support        79.983987\n",
      "dtype: float64\n",
      "Raw N: 253 Weighted N: 96\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    13.899923\n",
      "Vote against / Oppose     38.082221\n",
      "Vote for / Support        48.017856\n",
      "dtype: float64\n",
      "Raw N: 244 Weighted N: 87\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     6.907486\n",
      "Vote against / Oppose     33.112947\n",
      "Vote for / Support        59.979568\n",
      "dtype: float64\n",
      "Raw N: 227 Weighted N: 85\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-25-0a298289514f>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:47: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:56: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:64: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:72: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-25-0a298289514f>:80: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## HIGH ELECTION FOCUS ##')\n",
    "survey_ = survey[(survey['lv_thought'] == 'Quite a lot')]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## LOW ELECTION FOCUS ##')\n",
    "survey_ = survey[(survey['lv_thought'] != 'Quite a lot')]\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "## BIDEN VOTER ##\n",
      "vegetarian\n",
      "False    97.480371\n",
      "True      2.519629\n",
      "dtype: float64\n",
      "Raw N: 3169 Weighted N: 1233\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         81.679217\n",
      "Disagree       3.948858\n",
      "Don't know    14.371925\n",
      "dtype: float64\n",
      "Raw N: 2576 Weighted N: 1017\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.724686\n",
      "Vote against / Oppose      8.779543\n",
      "Vote for / Support        86.495772\n",
      "dtype: float64\n",
      "Raw N: 542 Weighted N: 207\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided     6.338142\n",
      "Vote against / Oppose     20.679770\n",
      "Vote for / Support        72.982089\n",
      "dtype: float64\n",
      "Raw N: 504 Weighted N: 224\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided    15.105882\n",
      "Vote against / Oppose     40.888020\n",
      "Vote for / Support        44.006098\n",
      "dtype: float64\n",
      "Raw N: 525 Weighted N: 198\n",
      "-\n",
      "-\n",
      "-\n",
      "## TRUMP VOTER ##\n",
      "vegetarian\n",
      "False    99.790241\n",
      "True      0.209759\n",
      "dtype: float64\n",
      "Raw N: 956 Weighted N: 379\n",
      "-\n",
      "agree_pain_fish\n",
      "Agree         77.036564\n",
      "Disagree       5.870062\n",
      "Don't know    17.093374\n",
      "dtype: float64\n",
      "Raw N: 828 Weighted N: 322\n",
      "-\n",
      "vote_measure_cage_free\n",
      "Don’t know / Undecided     4.596872\n",
      "Vote against / Oppose     19.647047\n",
      "Vote for / Support        75.756081\n",
      "dtype: float64\n",
      "Raw N: 159 Weighted N: 64\n",
      "-\n",
      "vote_measure_alt_protein_funding\n",
      "Don’t know / Undecided    15.963907\n",
      "Vote against / Oppose     46.630332\n",
      "Vote for / Support        37.405762\n",
      "dtype: float64\n",
      "Raw N: 173 Weighted N: 55\n",
      "-\n",
      "vote_measure_no_labeling\n",
      "Don’t know / Undecided     2.660593\n",
      "Vote against / Oppose     53.529150\n",
      "Vote for / Support        43.810256\n",
      "dtype: float64\n",
      "Raw N: 155 Weighted N: 65\n",
      "-\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-26-d90af31391a1>:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:36: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:57: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:65: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:73: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
      "<ipython-input-26-d90af31391a1>:81: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n"
     ]
    }
   ],
   "source": [
    "print('## BIDEN VOTER ##')\n",
    "survey_ = survey[survey['vote_trump_biden'] == 'Joe Biden, the Democrat'].copy()\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "\n",
    "\n",
    "print('-')\n",
    "print('-')\n",
    "print('## TRUMP VOTER ##')\n",
    "survey_ = survey[survey['vote_trump_biden'] == 'Donald Trump, the Republican'].copy()\n",
    "survey_['lv_weight_alt'] = normalize_weights(survey_['lv_weight_alt'])\n",
    "print('vegetarian')\n",
    "print(survey_['vegetarian'].value_counts(normalize=True) * survey_.groupby('vegetarian')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey_['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey_), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('agree_pain_fish')\n",
    "survey__ = survey_[survey_['agree_pain_fish'].isin(options2)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['agree_pain_fish'].value_counts(normalize=True) * survey__.groupby('agree_pain_fish')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_cage_free')\n",
    "survey__ = survey_[survey_['vote_measure_cage_free'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_cage_free'].value_counts(normalize=True) * survey__.groupby('vote_measure_cage_free')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_alt_protein_funding')\n",
    "survey__ = survey_[survey_['vote_measure_alt_protein_funding'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_alt_protein_funding'].value_counts(normalize=True) * survey__.groupby('vote_measure_alt_protein_funding')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')\n",
    "\n",
    "print('vote_measure_no_labeling')\n",
    "survey__ = survey_[survey_['vote_measure_no_labeling'].isin(options)]\n",
    "survey__['lv_weight_alt'] = normalize_weights(survey__['lv_weight_alt'])\n",
    "print(survey__['vote_measure_no_labeling'].value_counts(normalize=True) * survey__.groupby('vote_measure_no_labeling')['lv_weight_alt'].mean() * 100)\n",
    "weighted_n = int(np.round(survey__['lv_weight_alt'].apply(lambda w: 1 if w > 1 else w).sum()))\n",
    "print('Raw N: {} Weighted N: {}'.format(len(survey__), weighted_n))\n",
    "print('-')"
   ]
  }
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