results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['axes.labelsize'] = 15\n",
    "plt.rcParams['axes.titlesize'] = 15\n",
    "plt.rcParams['xtick.labelsize'] = 15\n",
    "plt.rcParams['ytick.labelsize'] = 15\n",
    "plt.rcParams['figure.titlesize'] = 28\n",
    "plt.rcParams['legend.fontsize'] = 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "def plot_heatmaps(df, color_scale=\"Reds\", measure_name=None):\n",
    "    \n",
    "    matrix = df.to_numpy()\n",
    "    labels_x = df.columns.to_list()\n",
    "    labels_y = df.index.to_list()\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(10,10))\n",
    "    \n",
    "    if measure_name == \"symm-cultsim\":\n",
    "\n",
    "        matrix = np.tril(matrix, k=1)\n",
    "        matrix[np.triu_indices(n=matrix.shape[0], k=1, m=matrix.shape[1])] = -2\n",
    "\n",
    "    im = ax.imshow(matrix, vmin=-1, vmax=1, cmap=color_scale)\n",
    "\n",
    "    ax.figure.colorbar(im, fraction=0.043, pad=0.04, label=\"cosine similarity\")\n",
    "\n",
    "    # We want to show all ticks...\n",
    "    ax.set_xticks(np.arange(len(labels_x)))\n",
    "    ax.set_yticks(np.arange(len(labels_y)))\n",
    "    # ... and label them with the respective list entries\n",
    "    ax.set_xticklabels(labels_x)\n",
    "    ax.set_yticklabels(labels_y)\n",
    "\n",
    "    # Rotate the tick labels and set their alignment.\n",
    "    plt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\",\n",
    "             rotation_mode=\"anchor\")\n",
    "\n",
    "    # Loop over data dimensions and create text annotations.\n",
    "    for i in range(len(labels_x)):\n",
    "        for j in range(len(labels_y)):\n",
    "            text = ax.text(j, i, round(matrix[i, j],2),\n",
    "                           ha=\"center\", va=\"center\", color=\"w\")\n",
    "\n",
    "    fig.tight_layout()\n",
    "    plt.savefig(\"figs/heatmap-\"+measure_name+\"-\"+color_scale+\".eps\", bbox_inches=\"tight\", format=\"eps\")\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Symmetric Cultural Similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Argentina</th>\n",
       "      <th>Australia</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Chile</th>\n",
       "      <th>France</th>\n",
       "      <th>Great Britain</th>\n",
       "      <th>Indonesia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Malaysia</th>\n",
       "      <th>Mexico</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Singapore</th>\n",
       "      <th>South Korea</th>\n",
       "      <th>Spain</th>\n",
       "      <th>Turkey</th>\n",
       "      <th>United States</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interests_from</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.114336</td>\n",
       "      <td>0.176917</td>\n",
       "      <td>0.393919</td>\n",
       "      <td>-0.061345</td>\n",
       "      <td>-0.169153</td>\n",
       "      <td>-0.199208</td>\n",
       "      <td>-0.224372</td>\n",
       "      <td>-0.289974</td>\n",
       "      <td>0.272351</td>\n",
       "      <td>-0.080554</td>\n",
       "      <td>-0.209667</td>\n",
       "      <td>-0.201423</td>\n",
       "      <td>0.163592</td>\n",
       "      <td>-0.098683</td>\n",
       "      <td>-0.125806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>-0.114336</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.183166</td>\n",
       "      <td>-0.216939</td>\n",
       "      <td>-0.181529</td>\n",
       "      <td>0.327279</td>\n",
       "      <td>-0.421242</td>\n",
       "      <td>-0.369408</td>\n",
       "      <td>0.180009</td>\n",
       "      <td>-0.192586</td>\n",
       "      <td>-0.487930</td>\n",
       "      <td>0.237499</td>\n",
       "      <td>-0.242149</td>\n",
       "      <td>-0.213544</td>\n",
       "      <td>-0.277765</td>\n",
       "      <td>0.450269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0.176917</td>\n",
       "      <td>-0.183166</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.121966</td>\n",
       "      <td>-0.009615</td>\n",
       "      <td>-0.091450</td>\n",
       "      <td>0.012284</td>\n",
       "      <td>0.040390</td>\n",
       "      <td>-0.278933</td>\n",
       "      <td>-0.023835</td>\n",
       "      <td>0.102400</td>\n",
       "      <td>-0.259892</td>\n",
       "      <td>-0.087316</td>\n",
       "      <td>0.072308</td>\n",
       "      <td>-0.031723</td>\n",
       "      <td>-0.192538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>0.393919</td>\n",
       "      <td>-0.216939</td>\n",
       "      <td>0.121966</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.036575</td>\n",
       "      <td>-0.142708</td>\n",
       "      <td>-0.129304</td>\n",
       "      <td>-0.085777</td>\n",
       "      <td>-0.327508</td>\n",
       "      <td>0.347842</td>\n",
       "      <td>-0.015013</td>\n",
       "      <td>-0.255363</td>\n",
       "      <td>-0.205035</td>\n",
       "      <td>0.194459</td>\n",
       "      <td>-0.078146</td>\n",
       "      <td>-0.142413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>-0.061345</td>\n",
       "      <td>-0.181529</td>\n",
       "      <td>-0.009615</td>\n",
       "      <td>-0.036575</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.016455</td>\n",
       "      <td>0.029158</td>\n",
       "      <td>0.097488</td>\n",
       "      <td>-0.291440</td>\n",
       "      <td>-0.100300</td>\n",
       "      <td>0.244665</td>\n",
       "      <td>-0.254725</td>\n",
       "      <td>-0.120866</td>\n",
       "      <td>0.232377</td>\n",
       "      <td>0.136341</td>\n",
       "      <td>-0.142481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>-0.169153</td>\n",
       "      <td>0.327279</td>\n",
       "      <td>-0.091450</td>\n",
       "      <td>-0.142708</td>\n",
       "      <td>-0.016455</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.233838</td>\n",
       "      <td>-0.197736</td>\n",
       "      <td>-0.068667</td>\n",
       "      <td>-0.205507</td>\n",
       "      <td>-0.160122</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>-0.152622</td>\n",
       "      <td>-0.037025</td>\n",
       "      <td>-0.167326</td>\n",
       "      <td>0.238016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.199208</td>\n",
       "      <td>-0.421242</td>\n",
       "      <td>0.012284</td>\n",
       "      <td>-0.129304</td>\n",
       "      <td>0.029158</td>\n",
       "      <td>-0.233838</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.364093</td>\n",
       "      <td>-0.028780</td>\n",
       "      <td>-0.159263</td>\n",
       "      <td>0.538889</td>\n",
       "      <td>-0.234401</td>\n",
       "      <td>0.160825</td>\n",
       "      <td>-0.051447</td>\n",
       "      <td>0.204892</td>\n",
       "      <td>-0.314428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-0.224372</td>\n",
       "      <td>-0.369408</td>\n",
       "      <td>0.040390</td>\n",
       "      <td>-0.085777</td>\n",
       "      <td>0.097488</td>\n",
       "      <td>-0.197736</td>\n",
       "      <td>0.364093</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.268229</td>\n",
       "      <td>-0.173330</td>\n",
       "      <td>0.475692</td>\n",
       "      <td>-0.126197</td>\n",
       "      <td>0.215366</td>\n",
       "      <td>-0.006820</td>\n",
       "      <td>0.205870</td>\n",
       "      <td>-0.299365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.289974</td>\n",
       "      <td>0.180009</td>\n",
       "      <td>-0.278933</td>\n",
       "      <td>-0.327508</td>\n",
       "      <td>-0.291440</td>\n",
       "      <td>-0.068667</td>\n",
       "      <td>-0.028780</td>\n",
       "      <td>-0.268229</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.206967</td>\n",
       "      <td>-0.440619</td>\n",
       "      <td>0.510222</td>\n",
       "      <td>0.018685</td>\n",
       "      <td>-0.348761</td>\n",
       "      <td>-0.217555</td>\n",
       "      <td>0.036495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.272351</td>\n",
       "      <td>-0.192586</td>\n",
       "      <td>-0.023835</td>\n",
       "      <td>0.347842</td>\n",
       "      <td>-0.100300</td>\n",
       "      <td>-0.205507</td>\n",
       "      <td>-0.159263</td>\n",
       "      <td>-0.173330</td>\n",
       "      <td>-0.206967</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.119251</td>\n",
       "      <td>-0.209021</td>\n",
       "      <td>-0.108930</td>\n",
       "      <td>0.060799</td>\n",
       "      <td>-0.120282</td>\n",
       "      <td>-0.011818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.080554</td>\n",
       "      <td>-0.487930</td>\n",
       "      <td>0.102400</td>\n",
       "      <td>-0.015013</td>\n",
       "      <td>0.244665</td>\n",
       "      <td>-0.160122</td>\n",
       "      <td>0.538889</td>\n",
       "      <td>0.475692</td>\n",
       "      <td>-0.440619</td>\n",
       "      <td>-0.119251</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.402379</td>\n",
       "      <td>0.113565</td>\n",
       "      <td>0.122625</td>\n",
       "      <td>0.372316</td>\n",
       "      <td>-0.334293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.209667</td>\n",
       "      <td>0.237499</td>\n",
       "      <td>-0.259892</td>\n",
       "      <td>-0.255363</td>\n",
       "      <td>-0.254725</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>-0.234401</td>\n",
       "      <td>-0.126197</td>\n",
       "      <td>0.510222</td>\n",
       "      <td>-0.209021</td>\n",
       "      <td>-0.402379</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.030575</td>\n",
       "      <td>-0.307916</td>\n",
       "      <td>-0.290048</td>\n",
       "      <td>0.059687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.201423</td>\n",
       "      <td>-0.242149</td>\n",
       "      <td>-0.087316</td>\n",
       "      <td>-0.205035</td>\n",
       "      <td>-0.120866</td>\n",
       "      <td>-0.152622</td>\n",
       "      <td>0.160825</td>\n",
       "      <td>0.215366</td>\n",
       "      <td>0.018685</td>\n",
       "      <td>-0.108930</td>\n",
       "      <td>0.113565</td>\n",
       "      <td>-0.030575</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.157734</td>\n",
       "      <td>-0.025305</td>\n",
       "      <td>-0.179523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0.163592</td>\n",
       "      <td>-0.213544</td>\n",
       "      <td>0.072308</td>\n",
       "      <td>0.194459</td>\n",
       "      <td>0.232377</td>\n",
       "      <td>-0.037025</td>\n",
       "      <td>-0.051447</td>\n",
       "      <td>-0.006820</td>\n",
       "      <td>-0.348761</td>\n",
       "      <td>0.060799</td>\n",
       "      <td>0.122625</td>\n",
       "      <td>-0.307916</td>\n",
       "      <td>-0.157734</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.063654</td>\n",
       "      <td>-0.224244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.098683</td>\n",
       "      <td>-0.277765</td>\n",
       "      <td>-0.031723</td>\n",
       "      <td>-0.078146</td>\n",
       "      <td>0.136341</td>\n",
       "      <td>-0.167326</td>\n",
       "      <td>0.204892</td>\n",
       "      <td>0.205870</td>\n",
       "      <td>-0.217555</td>\n",
       "      <td>-0.120282</td>\n",
       "      <td>0.372316</td>\n",
       "      <td>-0.290048</td>\n",
       "      <td>-0.025305</td>\n",
       "      <td>0.063654</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.289836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>-0.125806</td>\n",
       "      <td>0.450269</td>\n",
       "      <td>-0.192538</td>\n",
       "      <td>-0.142413</td>\n",
       "      <td>-0.142481</td>\n",
       "      <td>0.238016</td>\n",
       "      <td>-0.314428</td>\n",
       "      <td>-0.299365</td>\n",
       "      <td>0.036495</td>\n",
       "      <td>-0.011818</td>\n",
       "      <td>-0.334293</td>\n",
       "      <td>0.059687</td>\n",
       "      <td>-0.179523</td>\n",
       "      <td>-0.224244</td>\n",
       "      <td>-0.289836</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Argentina  Australia    Brazil     Chile    France  \\\n",
       "interests_from                                                       \n",
       "Argentina        1.000000  -0.114336  0.176917  0.393919 -0.061345   \n",
       "Australia       -0.114336   1.000000 -0.183166 -0.216939 -0.181529   \n",
       "Brazil           0.176917  -0.183166  1.000000  0.121966 -0.009615   \n",
       "Chile            0.393919  -0.216939  0.121966  1.000000 -0.036575   \n",
       "France          -0.061345  -0.181529 -0.009615 -0.036575  1.000000   \n",
       "Great Britain   -0.169153   0.327279 -0.091450 -0.142708 -0.016455   \n",
       "Indonesia       -0.199208  -0.421242  0.012284 -0.129304  0.029158   \n",
       "Japan           -0.224372  -0.369408  0.040390 -0.085777  0.097488   \n",
       "Malaysia        -0.289974   0.180009 -0.278933 -0.327508 -0.291440   \n",
       "Mexico           0.272351  -0.192586 -0.023835  0.347842 -0.100300   \n",
       "Russia          -0.080554  -0.487930  0.102400 -0.015013  0.244665   \n",
       "Singapore       -0.209667   0.237499 -0.259892 -0.255363 -0.254725   \n",
       "South Korea     -0.201423  -0.242149 -0.087316 -0.205035 -0.120866   \n",
       "Spain            0.163592  -0.213544  0.072308  0.194459  0.232377   \n",
       "Turkey          -0.098683  -0.277765 -0.031723 -0.078146  0.136341   \n",
       "United States   -0.125806   0.450269 -0.192538 -0.142413 -0.142481   \n",
       "\n",
       "                Great Britain  Indonesia     Japan  Malaysia    Mexico  \\\n",
       "interests_from                                                           \n",
       "Argentina           -0.169153  -0.199208 -0.224372 -0.289974  0.272351   \n",
       "Australia            0.327279  -0.421242 -0.369408  0.180009 -0.192586   \n",
       "Brazil              -0.091450   0.012284  0.040390 -0.278933 -0.023835   \n",
       "Chile               -0.142708  -0.129304 -0.085777 -0.327508  0.347842   \n",
       "France              -0.016455   0.029158  0.097488 -0.291440 -0.100300   \n",
       "Great Britain        1.000000  -0.233838 -0.197736 -0.068667 -0.205507   \n",
       "Indonesia           -0.233838   1.000000  0.364093 -0.028780 -0.159263   \n",
       "Japan               -0.197736   0.364093  1.000000 -0.268229 -0.173330   \n",
       "Malaysia            -0.068667  -0.028780 -0.268229  1.000000 -0.206967   \n",
       "Mexico              -0.205507  -0.159263 -0.173330 -0.206967  1.000000   \n",
       "Russia              -0.160122   0.538889  0.475692 -0.440619 -0.119251   \n",
       "Singapore            0.000585  -0.234401 -0.126197  0.510222 -0.209021   \n",
       "South Korea         -0.152622   0.160825  0.215366  0.018685 -0.108930   \n",
       "Spain               -0.037025  -0.051447 -0.006820 -0.348761  0.060799   \n",
       "Turkey              -0.167326   0.204892  0.205870 -0.217555 -0.120282   \n",
       "United States        0.238016  -0.314428 -0.299365  0.036495 -0.011818   \n",
       "\n",
       "                  Russia  Singapore  South Korea     Spain    Turkey  \\\n",
       "interests_from                                                         \n",
       "Argentina      -0.080554  -0.209667    -0.201423  0.163592 -0.098683   \n",
       "Australia      -0.487930   0.237499    -0.242149 -0.213544 -0.277765   \n",
       "Brazil          0.102400  -0.259892    -0.087316  0.072308 -0.031723   \n",
       "Chile          -0.015013  -0.255363    -0.205035  0.194459 -0.078146   \n",
       "France          0.244665  -0.254725    -0.120866  0.232377  0.136341   \n",
       "Great Britain  -0.160122   0.000585    -0.152622 -0.037025 -0.167326   \n",
       "Indonesia       0.538889  -0.234401     0.160825 -0.051447  0.204892   \n",
       "Japan           0.475692  -0.126197     0.215366 -0.006820  0.205870   \n",
       "Malaysia       -0.440619   0.510222     0.018685 -0.348761 -0.217555   \n",
       "Mexico         -0.119251  -0.209021    -0.108930  0.060799 -0.120282   \n",
       "Russia          1.000000  -0.402379     0.113565  0.122625  0.372316   \n",
       "Singapore      -0.402379   1.000000    -0.030575 -0.307916 -0.290048   \n",
       "South Korea     0.113565  -0.030575     1.000000 -0.157734 -0.025305   \n",
       "Spain           0.122625  -0.307916    -0.157734  1.000000  0.063654   \n",
       "Turkey          0.372316  -0.290048    -0.025305  0.063654  1.000000   \n",
       "United States  -0.334293   0.059687    -0.179523 -0.224244 -0.289836   \n",
       "\n",
       "                United States  \n",
       "interests_from                 \n",
       "Argentina           -0.125806  \n",
       "Australia            0.450269  \n",
       "Brazil              -0.192538  \n",
       "Chile               -0.142413  \n",
       "France              -0.142481  \n",
       "Great Britain        0.238016  \n",
       "Indonesia           -0.314428  \n",
       "Japan               -0.299365  \n",
       "Malaysia             0.036495  \n",
       "Mexico              -0.011818  \n",
       "Russia              -0.334293  \n",
       "Singapore            0.059687  \n",
       "South Korea         -0.179523  \n",
       "Spain               -0.224244  \n",
       "Turkey              -0.289836  \n",
       "United States        1.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symm_cultsim_data = pd.read_csv(\"data/cultural-similarity-symmetric.csv\", index_col=0)\n",
    "symm_cultsim_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['axes.spines.right'] = False\n",
    "mpl.rcParams['axes.spines.left'] = True\n",
    "mpl.rcParams['axes.spines.top'] = False\n",
    "mpl.rcParams['axes.spines.bottom'] = True\n",
    "    \n",
    "plot_heatmaps(df=symm_cultsim_data, color_scale=\"Reds\", measure_name=\"symm-cultsim\") \n",
    "#color_scale = \"Reds\" #RdBu #bwr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Asymmetric Cultural Similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Argentina</th>\n",
       "      <th>Australia</th>\n",
       "      <th>Brazil</th>\n",
       "      <th>Chile</th>\n",
       "      <th>France</th>\n",
       "      <th>Great Britain</th>\n",
       "      <th>Indonesia</th>\n",
       "      <th>Japan</th>\n",
       "      <th>Malaysia</th>\n",
       "      <th>Mexico</th>\n",
       "      <th>Russia</th>\n",
       "      <th>Singapore</th>\n",
       "      <th>South Korea</th>\n",
       "      <th>Spain</th>\n",
       "      <th>Turkey</th>\n",
       "      <th>United States</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interests_from</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.318567</td>\n",
       "      <td>0.107796</td>\n",
       "      <td>0.466730</td>\n",
       "      <td>-0.410868</td>\n",
       "      <td>-0.207280</td>\n",
       "      <td>-0.677962</td>\n",
       "      <td>-0.815936</td>\n",
       "      <td>-0.263883</td>\n",
       "      <td>0.344139</td>\n",
       "      <td>-0.694557</td>\n",
       "      <td>0.145924</td>\n",
       "      <td>-0.524286</td>\n",
       "      <td>0.035432</td>\n",
       "      <td>-0.724250</td>\n",
       "      <td>-0.030646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>-0.255348</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.508155</td>\n",
       "      <td>-0.408968</td>\n",
       "      <td>-0.231631</td>\n",
       "      <td>0.279978</td>\n",
       "      <td>-0.747323</td>\n",
       "      <td>-0.501121</td>\n",
       "      <td>0.190184</td>\n",
       "      <td>-0.568518</td>\n",
       "      <td>-0.631861</td>\n",
       "      <td>0.369168</td>\n",
       "      <td>-0.434273</td>\n",
       "      <td>-0.322293</td>\n",
       "      <td>-0.851730</td>\n",
       "      <td>0.629218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0.217246</td>\n",
       "      <td>0.202120</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.117010</td>\n",
       "      <td>-0.523958</td>\n",
       "      <td>-0.041635</td>\n",
       "      <td>-0.493768</td>\n",
       "      <td>-0.648151</td>\n",
       "      <td>0.153331</td>\n",
       "      <td>-0.131074</td>\n",
       "      <td>-0.667598</td>\n",
       "      <td>0.013580</td>\n",
       "      <td>-0.321865</td>\n",
       "      <td>-0.074772</td>\n",
       "      <td>-0.714663</td>\n",
       "      <td>-0.078814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>0.409019</td>\n",
       "      <td>0.099224</td>\n",
       "      <td>0.027488</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.576472</td>\n",
       "      <td>-0.269875</td>\n",
       "      <td>-0.589764</td>\n",
       "      <td>-0.512627</td>\n",
       "      <td>0.003410</td>\n",
       "      <td>0.514436</td>\n",
       "      <td>-0.681028</td>\n",
       "      <td>0.090223</td>\n",
       "      <td>-0.491062</td>\n",
       "      <td>0.066057</td>\n",
       "      <td>-0.769621</td>\n",
       "      <td>0.118722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>-0.219271</td>\n",
       "      <td>0.346578</td>\n",
       "      <td>-0.573227</td>\n",
       "      <td>-0.298198</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.118826</td>\n",
       "      <td>-0.493732</td>\n",
       "      <td>-0.439505</td>\n",
       "      <td>0.133435</td>\n",
       "      <td>-0.118451</td>\n",
       "      <td>-0.622886</td>\n",
       "      <td>0.129284</td>\n",
       "      <td>-0.396102</td>\n",
       "      <td>0.049921</td>\n",
       "      <td>-0.307114</td>\n",
       "      <td>0.301769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>-0.366881</td>\n",
       "      <td>0.597763</td>\n",
       "      <td>-0.484574</td>\n",
       "      <td>-0.371741</td>\n",
       "      <td>-0.325941</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.671900</td>\n",
       "      <td>-0.546641</td>\n",
       "      <td>0.135017</td>\n",
       "      <td>-0.579594</td>\n",
       "      <td>-0.629021</td>\n",
       "      <td>0.357294</td>\n",
       "      <td>-0.350316</td>\n",
       "      <td>-0.192754</td>\n",
       "      <td>-0.758729</td>\n",
       "      <td>0.507604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.317599</td>\n",
       "      <td>0.340407</td>\n",
       "      <td>-0.330441</td>\n",
       "      <td>-0.327292</td>\n",
       "      <td>-0.472113</td>\n",
       "      <td>-0.135466</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.444311</td>\n",
       "      <td>0.537021</td>\n",
       "      <td>-0.308937</td>\n",
       "      <td>-0.531329</td>\n",
       "      <td>0.187354</td>\n",
       "      <td>-0.188713</td>\n",
       "      <td>-0.484058</td>\n",
       "      <td>-0.482021</td>\n",
       "      <td>0.100554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-0.517957</td>\n",
       "      <td>0.279089</td>\n",
       "      <td>-0.252696</td>\n",
       "      <td>-0.297352</td>\n",
       "      <td>-0.423019</td>\n",
       "      <td>-0.180318</td>\n",
       "      <td>-0.293909</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.360119</td>\n",
       "      <td>-0.238884</td>\n",
       "      <td>-0.505290</td>\n",
       "      <td>0.555772</td>\n",
       "      <td>0.134619</td>\n",
       "      <td>-0.413593</td>\n",
       "      <td>-0.328614</td>\n",
       "      <td>-0.018032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.828872</td>\n",
       "      <td>0.408905</td>\n",
       "      <td>-0.760682</td>\n",
       "      <td>-0.619157</td>\n",
       "      <td>-0.627630</td>\n",
       "      <td>-0.684270</td>\n",
       "      <td>-0.262423</td>\n",
       "      <td>-0.881483</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.721838</td>\n",
       "      <td>-0.765957</td>\n",
       "      <td>0.715415</td>\n",
       "      <td>-0.337267</td>\n",
       "      <td>-0.861775</td>\n",
       "      <td>-0.855060</td>\n",
       "      <td>0.026759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.309986</td>\n",
       "      <td>0.035374</td>\n",
       "      <td>-0.531873</td>\n",
       "      <td>0.346920</td>\n",
       "      <td>-0.433120</td>\n",
       "      <td>-0.506904</td>\n",
       "      <td>-0.760321</td>\n",
       "      <td>-0.831854</td>\n",
       "      <td>-0.113625</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.811254</td>\n",
       "      <td>-0.072396</td>\n",
       "      <td>-0.328794</td>\n",
       "      <td>-0.143727</td>\n",
       "      <td>-0.670765</td>\n",
       "      <td>0.410073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.156492</td>\n",
       "      <td>-0.163263</td>\n",
       "      <td>-0.021060</td>\n",
       "      <td>-0.053244</td>\n",
       "      <td>-0.084946</td>\n",
       "      <td>-0.088950</td>\n",
       "      <td>0.392578</td>\n",
       "      <td>-0.056297</td>\n",
       "      <td>-0.187805</td>\n",
       "      <td>0.333042</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.131189</td>\n",
       "      <td>-0.108836</td>\n",
       "      <td>-0.163782</td>\n",
       "      <td>0.110268</td>\n",
       "      <td>-0.259195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.652881</td>\n",
       "      <td>0.316563</td>\n",
       "      <td>-0.701759</td>\n",
       "      <td>-0.479294</td>\n",
       "      <td>-0.631791</td>\n",
       "      <td>-0.201763</td>\n",
       "      <td>-0.609050</td>\n",
       "      <td>-0.175972</td>\n",
       "      <td>0.615750</td>\n",
       "      <td>-0.619139</td>\n",
       "      <td>-0.657531</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.100780</td>\n",
       "      <td>-0.734016</td>\n",
       "      <td>-0.861581</td>\n",
       "      <td>-0.055645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.498279</td>\n",
       "      <td>0.148113</td>\n",
       "      <td>-0.617619</td>\n",
       "      <td>-0.618047</td>\n",
       "      <td>-0.740704</td>\n",
       "      <td>-0.173424</td>\n",
       "      <td>-0.571510</td>\n",
       "      <td>-0.301014</td>\n",
       "      <td>0.537414</td>\n",
       "      <td>-0.046163</td>\n",
       "      <td>-0.779362</td>\n",
       "      <td>0.412515</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.514569</td>\n",
       "      <td>-0.606509</td>\n",
       "      <td>0.111660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0.169609</td>\n",
       "      <td>0.121730</td>\n",
       "      <td>-0.161595</td>\n",
       "      <td>0.142875</td>\n",
       "      <td>0.260809</td>\n",
       "      <td>0.067690</td>\n",
       "      <td>-0.538133</td>\n",
       "      <td>-0.566006</td>\n",
       "      <td>-0.092331</td>\n",
       "      <td>-0.004306</td>\n",
       "      <td>-0.631202</td>\n",
       "      <td>-0.052501</td>\n",
       "      <td>-0.421555</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.490059</td>\n",
       "      <td>-0.138415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.191948</td>\n",
       "      <td>0.270529</td>\n",
       "      <td>-0.538259</td>\n",
       "      <td>-0.399334</td>\n",
       "      <td>-0.153432</td>\n",
       "      <td>-0.177173</td>\n",
       "      <td>-0.414702</td>\n",
       "      <td>-0.396388</td>\n",
       "      <td>0.344397</td>\n",
       "      <td>-0.244615</td>\n",
       "      <td>-0.526088</td>\n",
       "      <td>0.123146</td>\n",
       "      <td>-0.308134</td>\n",
       "      <td>-0.208541</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.252773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>-0.284854</td>\n",
       "      <td>0.640784</td>\n",
       "      <td>-0.540381</td>\n",
       "      <td>-0.248451</td>\n",
       "      <td>-0.328099</td>\n",
       "      <td>0.271571</td>\n",
       "      <td>-0.658377</td>\n",
       "      <td>-0.475531</td>\n",
       "      <td>0.056008</td>\n",
       "      <td>-0.366961</td>\n",
       "      <td>-0.698595</td>\n",
       "      <td>0.223248</td>\n",
       "      <td>-0.508167</td>\n",
       "      <td>-0.461272</td>\n",
       "      <td>-0.781871</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Argentina  Australia    Brazil     Chile    France  \\\n",
       "interests_from                                                       \n",
       "Argentina        1.000000   0.318567  0.107796  0.466730 -0.410868   \n",
       "Australia       -0.255348   1.000000 -0.508155 -0.408968 -0.231631   \n",
       "Brazil           0.217246   0.202120  1.000000  0.117010 -0.523958   \n",
       "Chile            0.409019   0.099224  0.027488  1.000000 -0.576472   \n",
       "France          -0.219271   0.346578 -0.573227 -0.298198  1.000000   \n",
       "Great Britain   -0.366881   0.597763 -0.484574 -0.371741 -0.325941   \n",
       "Indonesia       -0.317599   0.340407 -0.330441 -0.327292 -0.472113   \n",
       "Japan           -0.517957   0.279089 -0.252696 -0.297352 -0.423019   \n",
       "Malaysia        -0.828872   0.408905 -0.760682 -0.619157 -0.627630   \n",
       "Mexico           0.309986   0.035374 -0.531873  0.346920 -0.433120   \n",
       "Russia          -0.156492  -0.163263 -0.021060 -0.053244 -0.084946   \n",
       "Singapore       -0.652881   0.316563 -0.701759 -0.479294 -0.631791   \n",
       "South Korea     -0.498279   0.148113 -0.617619 -0.618047 -0.740704   \n",
       "Spain            0.169609   0.121730 -0.161595  0.142875  0.260809   \n",
       "Turkey          -0.191948   0.270529 -0.538259 -0.399334 -0.153432   \n",
       "United States   -0.284854   0.640784 -0.540381 -0.248451 -0.328099   \n",
       "\n",
       "                Great Britain  Indonesia     Japan  Malaysia    Mexico  \\\n",
       "interests_from                                                           \n",
       "Argentina           -0.207280  -0.677962 -0.815936 -0.263883  0.344139   \n",
       "Australia            0.279978  -0.747323 -0.501121  0.190184 -0.568518   \n",
       "Brazil              -0.041635  -0.493768 -0.648151  0.153331 -0.131074   \n",
       "Chile               -0.269875  -0.589764 -0.512627  0.003410  0.514436   \n",
       "France               0.118826  -0.493732 -0.439505  0.133435 -0.118451   \n",
       "Great Britain        1.000000  -0.671900 -0.546641  0.135017 -0.579594   \n",
       "Indonesia           -0.135466   1.000000 -0.444311  0.537021 -0.308937   \n",
       "Japan               -0.180318  -0.293909  1.000000  0.360119 -0.238884   \n",
       "Malaysia            -0.684270  -0.262423 -0.881483  1.000000 -0.721838   \n",
       "Mexico              -0.506904  -0.760321 -0.831854 -0.113625  1.000000   \n",
       "Russia              -0.088950   0.392578 -0.056297 -0.187805  0.333042   \n",
       "Singapore           -0.201763  -0.609050 -0.175972  0.615750 -0.619139   \n",
       "South Korea         -0.173424  -0.571510 -0.301014  0.537414 -0.046163   \n",
       "Spain                0.067690  -0.538133 -0.566006 -0.092331 -0.004306   \n",
       "Turkey              -0.177173  -0.414702 -0.396388  0.344397 -0.244615   \n",
       "United States        0.271571  -0.658377 -0.475531  0.056008 -0.366961   \n",
       "\n",
       "                  Russia  Singapore  South Korea     Spain    Turkey  \\\n",
       "interests_from                                                         \n",
       "Argentina      -0.694557   0.145924    -0.524286  0.035432 -0.724250   \n",
       "Australia      -0.631861   0.369168    -0.434273 -0.322293 -0.851730   \n",
       "Brazil         -0.667598   0.013580    -0.321865 -0.074772 -0.714663   \n",
       "Chile          -0.681028   0.090223    -0.491062  0.066057 -0.769621   \n",
       "France         -0.622886   0.129284    -0.396102  0.049921 -0.307114   \n",
       "Great Britain  -0.629021   0.357294    -0.350316 -0.192754 -0.758729   \n",
       "Indonesia      -0.531329   0.187354    -0.188713 -0.484058 -0.482021   \n",
       "Japan          -0.505290   0.555772     0.134619 -0.413593 -0.328614   \n",
       "Malaysia       -0.765957   0.715415    -0.337267 -0.861775 -0.855060   \n",
       "Mexico         -0.811254  -0.072396    -0.328794 -0.143727 -0.670765   \n",
       "Russia          1.000000  -0.131189    -0.108836 -0.163782  0.110268   \n",
       "Singapore      -0.657531   1.000000    -0.100780 -0.734016 -0.861581   \n",
       "South Korea    -0.779362   0.412515     1.000000 -0.514569 -0.606509   \n",
       "Spain          -0.631202  -0.052501    -0.421555  1.000000 -0.490059   \n",
       "Turkey         -0.526088   0.123146    -0.308134 -0.208541  1.000000   \n",
       "United States  -0.698595   0.223248    -0.508167 -0.461272 -0.781871   \n",
       "\n",
       "                United States  \n",
       "interests_from                 \n",
       "Argentina           -0.030646  \n",
       "Australia            0.629218  \n",
       "Brazil              -0.078814  \n",
       "Chile                0.118722  \n",
       "France               0.301769  \n",
       "Great Britain        0.507604  \n",
       "Indonesia            0.100554  \n",
       "Japan               -0.018032  \n",
       "Malaysia             0.026759  \n",
       "Mexico               0.410073  \n",
       "Russia              -0.259195  \n",
       "Singapore           -0.055645  \n",
       "South Korea          0.111660  \n",
       "Spain               -0.138415  \n",
       "Turkey              -0.252773  \n",
       "United States        1.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "asym_cultsim_data = pd.read_csv(\"data/cultural-similarity-nonsymmetric.csv\", index_col=0)\n",
    "asym_cultsim_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['axes.spines.right'] = True\n",
    "mpl.rcParams['axes.spines.left'] = True\n",
    "mpl.rcParams['axes.spines.top'] = True\n",
    "mpl.rcParams['axes.spines.bottom'] = True\n",
    "\n",
    "plot_heatmaps(df=asym_cultsim_data, color_scale=\"Reds\", measure_name=\"asym-cultsim\") \n",
    "#color_scale = \"Reds\" #RdBu #bwr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cultural Maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations_marker_plot_cs = {'Argentina': 'o', 'Australia': 'v', 'Brazil': 'd', 'Chile': 'o', \n",
    "                         'France': '*', 'Great Britain': 'v', 'Indonesia': 'd', 'Japan': 'd', \n",
    "                         'Malaysia': 's', 'Mexico': 'o', 'Russia': 'd', 'Singapore': 'X', \n",
    "                            'South Korea': '^', 'Spain': '*', 'Turkey': 'd', 'United States': 'v'}\n",
    "           \n",
    "locations_color_plot_cs = {'Argentina': 'c', 'Australia': 'b', 'Brazil': 'm', 'Chile': 'c', \n",
    "                         'France': 'y', 'Great Britain': 'b', 'Indonesia': 'm', 'Japan': 'm', \n",
    "                         'Malaysia': 'r', 'Mexico': 'c', 'Russia': 'm', 'Singapore': 'g', \n",
    "                           'South Korea': 'orange', 'Spain': 'y', 'Turkey': 'm', 'United States': 'b'}\n",
    "\n",
    "locations_label_plot_cs = {'Argentina': '6', 'Australia': '0', 'Brazil': '4', 'Chile': '6', \n",
    "                         'France': '1', 'Great Britain': '0', 'Indonesia': '4', 'Japan': '4', \n",
    "                         'Malaysia': '5', 'Mexico': '6', 'Russia': '4', 'Singapore': '3', \n",
    "                           'South Korea': '2', 'Spain': '1', 'Turkey': '4', 'United States': '0'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations_marker_plot = {'Argentina': 'o', 'Australia': 'v', 'Brazil': 'o', 'Chile': 'o', \n",
    "                         'France': '*', 'Great Britain': 'v', 'Indonesia': 'd', 'Japan': '^', \n",
    "                         'Malaysia': 'X', 'Mexico': 'o', 'Russia': 's', 'Singapore': 'X', \n",
    "                         'South Korea': '^', 'Spain': '*', 'Turkey': 'd', 'United States': 'v'}\n",
    "           \n",
    "locations_color_plot = {'Argentina': 'c', 'Australia': 'b', 'Brazil': 'c', 'Chile': 'c', \n",
    "                         'France': 'y', 'Great Britain': 'b', 'Indonesia': 'm', 'Japan': 'orange', \n",
    "                         'Malaysia': 'g', 'Mexico': 'c', 'Russia': 'r', 'Singapore': 'g', \n",
    "                        'South Korea': 'orange', 'Spain': 'y', 'Turkey': 'm', 'United States': 'b'}\n",
    "\n",
    "locations_label_plot = {'Argentina': 'Latin America', 'Australia': 'English Speaking', 'Brazil': 'Latin America', 'Chile': 'Latin America', \n",
    "                         'France': 'Catholic Europe', 'Great Britain': 'English Speaking', 'Indonesia': 'Islamic', 'Japan': 'Confucian', \n",
    "                         'Malaysia': 'South Asia', 'Mexico': 'Latin America', 'Russia': 'Orthodox', 'Singapore': 'South Asia', \n",
    "                        'South Korea': 'Confucian', 'Spain': 'Catholic Europe', 'Turkey': 'Islamic', 'United States': 'English Speaking'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.rcParams['axes.spines.right'] = False\n",
    "mpl.rcParams['axes.spines.left'] = True\n",
    "mpl.rcParams['axes.spines.top'] = False\n",
    "mpl.rcParams['axes.spines.bottom'] = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>-6.086689</td>\n",
       "      <td>7.221150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>13.921626</td>\n",
       "      <td>13.101147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>-6.777135</td>\n",
       "      <td>1.515985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>-6.391673</td>\n",
       "      <td>5.112751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>-5.877565</td>\n",
       "      <td>-0.326726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>3.352046</td>\n",
       "      <td>6.331081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-4.223348</td>\n",
       "      <td>-8.516785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-5.898715</td>\n",
       "      <td>-7.054236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>26.007803</td>\n",
       "      <td>-12.028552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>-5.667665</td>\n",
       "      <td>7.029010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-9.398913</td>\n",
       "      <td>-5.715522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>15.338400</td>\n",
       "      <td>-3.330602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-1.025703</td>\n",
       "      <td>-10.580133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>-7.190393</td>\n",
       "      <td>2.260565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-8.333279</td>\n",
       "      <td>-7.123458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>8.251202</td>\n",
       "      <td>12.104322</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     PC1        PC2\n",
       "Country                            \n",
       "Argentina      -6.086689   7.221150\n",
       "Australia      13.921626  13.101147\n",
       "Brazil         -6.777135   1.515985\n",
       "Chile          -6.391673   5.112751\n",
       "France         -5.877565  -0.326726\n",
       "Great Britain   3.352046   6.331081\n",
       "Indonesia      -4.223348  -8.516785\n",
       "Japan          -5.898715  -7.054236\n",
       "Malaysia       26.007803 -12.028552\n",
       "Mexico         -5.667665   7.029010\n",
       "Russia         -9.398913  -5.715522\n",
       "Singapore      15.338400  -3.330602\n",
       "South Korea    -1.025703 -10.580133\n",
       "Spain          -7.190393   2.260565\n",
       "Turkey         -8.333279  -7.123458\n",
       "United States   8.251202  12.104322"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symm_cultsim_pca_data = pd.read_csv(\"data/cultural-similarity-pca.csv\", index_col=0)\n",
    "\n",
    "symm_cultsim_pca_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>marker</th>\n",
       "      <th>color</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>-6.086689</td>\n",
       "      <td>7.221150</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>13.921626</td>\n",
       "      <td>13.101147</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>-6.777135</td>\n",
       "      <td>1.515985</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>-6.391673</td>\n",
       "      <td>5.112751</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>-5.877565</td>\n",
       "      <td>-0.326726</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>3.352046</td>\n",
       "      <td>6.331081</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-4.223348</td>\n",
       "      <td>-8.516785</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-5.898715</td>\n",
       "      <td>-7.054236</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>26.007803</td>\n",
       "      <td>-12.028552</td>\n",
       "      <td>s</td>\n",
       "      <td>r</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>-5.667665</td>\n",
       "      <td>7.029010</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-9.398913</td>\n",
       "      <td>-5.715522</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>15.338400</td>\n",
       "      <td>-3.330602</td>\n",
       "      <td>X</td>\n",
       "      <td>g</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-1.025703</td>\n",
       "      <td>-10.580133</td>\n",
       "      <td>^</td>\n",
       "      <td>orange</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>-7.190393</td>\n",
       "      <td>2.260565</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-8.333279</td>\n",
       "      <td>-7.123458</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>8.251202</td>\n",
       "      <td>12.104322</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     PC1        PC2 marker   color label\n",
       "Country                                                 \n",
       "Argentina      -6.086689   7.221150      o       c     6\n",
       "Australia      13.921626  13.101147      v       b     0\n",
       "Brazil         -6.777135   1.515985      d       m     4\n",
       "Chile          -6.391673   5.112751      o       c     6\n",
       "France         -5.877565  -0.326726      *       y     1\n",
       "Great Britain   3.352046   6.331081      v       b     0\n",
       "Indonesia      -4.223348  -8.516785      d       m     4\n",
       "Japan          -5.898715  -7.054236      d       m     4\n",
       "Malaysia       26.007803 -12.028552      s       r     5\n",
       "Mexico         -5.667665   7.029010      o       c     6\n",
       "Russia         -9.398913  -5.715522      d       m     4\n",
       "Singapore      15.338400  -3.330602      X       g     3\n",
       "South Korea    -1.025703 -10.580133      ^  orange     2\n",
       "Spain          -7.190393   2.260565      *       y     1\n",
       "Turkey         -8.333279  -7.123458      d       m     4\n",
       "United States   8.251202  12.104322      v       b     0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symm_cultsim_pca_data[\"marker\"] = locations_marker_plot_cs.values()\n",
    "symm_cultsim_pca_data[\"color\"] = locations_color_plot_cs.values()\n",
    "symm_cultsim_pca_data[\"label\"] = locations_label_plot_cs.values()\n",
    "symm_cultsim_pca_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = symm_cultsim_pca_data.index.to_list()\n",
    "\n",
    "for i, label in enumerate(labels):\n",
    "    plt.scatter(symm_cultsim_pca_data.iloc[i,0], symm_cultsim_pca_data.iloc[i,1], \n",
    "                alpha=0.8, \n",
    "                marker=symm_cultsim_pca_data[\"marker\"].iloc[i], \n",
    "                color=symm_cultsim_pca_data[\"color\"].iloc[i], \n",
    "                label=symm_cultsim_pca_data[\"label\"].iloc[i])\n",
    "\n",
    "for i, label in enumerate(labels):   \n",
    "    if label == \"Argentina\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]-9.5, symm_cultsim_pca_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"Brazil\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]-6, symm_cultsim_pca_data.iloc[i,1]-0.8), fontsize=12)\n",
    "            \n",
    "    elif label == \"Chile\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]+0.8, symm_cultsim_pca_data.iloc[i,1]-0.8), fontsize=12)\n",
    "        \n",
    "    elif label == \"Japan\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]+1, symm_cultsim_pca_data.iloc[i,1]+1.5), fontsize=12)\n",
    "        \n",
    "    elif label == \"Turkey\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]-6.8, symm_cultsim_pca_data.iloc[i,1]-1.2), fontsize=12)\n",
    "        \n",
    "    elif label == \"Russia\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]-6.4, symm_cultsim_pca_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"United States\" or label == \"South Korea\":\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]+0.5, symm_cultsim_pca_data.iloc[i,1]-2), fontsize=12)\n",
    "        \n",
    "    else:\n",
    "        plt.annotate(label, (symm_cultsim_pca_data.iloc[i,0]+0.8, symm_cultsim_pca_data.iloc[i,1]), fontsize=12)\n",
    "\n",
    "hs, ls = plt.gca().get_legend_handles_labels()\n",
    "ls = [\"Cluster \" + str(int(l)+1) for l in ls]\n",
    "by_label = dict(sorted(dict(zip(ls, hs)).items(), key=lambda kv:kv[0]))\n",
    "plt.legend(by_label.values(), by_label.keys(), fontsize=12, bbox_to_anchor=(1, 1.1), loc='upper left')\n",
    "\n",
    "plt.xlabel(\"PC 1 (26%)\")\n",
    "plt.ylabel(\"PC 2 (15%)\")\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xlim((-20,30))\n",
    "plt.ylim((-20,30))\n",
    "\n",
    "plt.savefig(\"figs/pca-symm-cultsim.eps\", bbox_inches='tight', format=\"eps\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WVS Cultural Map 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>S-SEV</th>\n",
       "      <th>T-SV</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>0.2276</td>\n",
       "      <td>-0.3849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>2.2681</td>\n",
       "      <td>0.6354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>-0.0503</td>\n",
       "      <td>-0.3121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>-0.0915</td>\n",
       "      <td>0.2214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>1.4099</td>\n",
       "      <td>0.5362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>2.3458</td>\n",
       "      <td>0.4881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.7675</td>\n",
       "      <td>-1.2452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>1.2921</td>\n",
       "      <td>1.6625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.3557</td>\n",
       "      <td>0.0483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.2899</td>\n",
       "      <td>-1.0468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.5999</td>\n",
       "      <td>0.3912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.1232</td>\n",
       "      <td>0.0874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.4974</td>\n",
       "      <td>1.4547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>1.4371</td>\n",
       "      <td>0.6482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.6649</td>\n",
       "      <td>-0.4720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1.5087</td>\n",
       "      <td>0.5770</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                S-SEV    T-SV\n",
       "Country                      \n",
       "Argentina      0.2276 -0.3849\n",
       "Australia      2.2681  0.6354\n",
       "Brazil        -0.0503 -0.3121\n",
       "Chile         -0.0915  0.2214\n",
       "France         1.4099  0.5362\n",
       "Great Britain  2.3458  0.4881\n",
       "Indonesia     -0.7675 -1.2452\n",
       "Japan          1.2921  1.6625\n",
       "Malaysia      -0.3557  0.0483\n",
       "Mexico         0.2899 -1.0468\n",
       "Russia        -0.5999  0.3912\n",
       "Singapore     -0.1232  0.0874\n",
       "South Korea   -0.4974  1.4547\n",
       "Spain          1.4371  0.6482\n",
       "Turkey        -0.6649 -0.4720\n",
       "United States  1.5087  0.5770"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wvs_data = pd.read_csv(\"data/wvs-wave7-2020.csv\", index_col=0)\n",
    "wvs_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>S-SEV</th>\n",
       "      <th>T-SV</th>\n",
       "      <th>marker</th>\n",
       "      <th>color</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>0.2276</td>\n",
       "      <td>-0.3849</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>2.2681</td>\n",
       "      <td>0.6354</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>-0.0503</td>\n",
       "      <td>-0.3121</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>-0.0915</td>\n",
       "      <td>0.2214</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>1.4099</td>\n",
       "      <td>0.5362</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>Catholic Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>2.3458</td>\n",
       "      <td>0.4881</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.7675</td>\n",
       "      <td>-1.2452</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>Islamic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>1.2921</td>\n",
       "      <td>1.6625</td>\n",
       "      <td>^</td>\n",
       "      <td>orange</td>\n",
       "      <td>Confucian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.3557</td>\n",
       "      <td>0.0483</td>\n",
       "      <td>X</td>\n",
       "      <td>g</td>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.2899</td>\n",
       "      <td>-1.0468</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.5999</td>\n",
       "      <td>0.3912</td>\n",
       "      <td>s</td>\n",
       "      <td>r</td>\n",
       "      <td>Orthodox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.1232</td>\n",
       "      <td>0.0874</td>\n",
       "      <td>X</td>\n",
       "      <td>g</td>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.4974</td>\n",
       "      <td>1.4547</td>\n",
       "      <td>^</td>\n",
       "      <td>orange</td>\n",
       "      <td>Confucian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>1.4371</td>\n",
       "      <td>0.6482</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>Catholic Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.6649</td>\n",
       "      <td>-0.4720</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>Islamic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1.5087</td>\n",
       "      <td>0.5770</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                S-SEV    T-SV marker   color             label\n",
       "Country                                                       \n",
       "Argentina      0.2276 -0.3849      o       c     Latin America\n",
       "Australia      2.2681  0.6354      v       b  English Speaking\n",
       "Brazil        -0.0503 -0.3121      o       c     Latin America\n",
       "Chile         -0.0915  0.2214      o       c     Latin America\n",
       "France         1.4099  0.5362      *       y   Catholic Europe\n",
       "Great Britain  2.3458  0.4881      v       b  English Speaking\n",
       "Indonesia     -0.7675 -1.2452      d       m           Islamic\n",
       "Japan          1.2921  1.6625      ^  orange         Confucian\n",
       "Malaysia      -0.3557  0.0483      X       g        South Asia\n",
       "Mexico         0.2899 -1.0468      o       c     Latin America\n",
       "Russia        -0.5999  0.3912      s       r          Orthodox\n",
       "Singapore     -0.1232  0.0874      X       g        South Asia\n",
       "South Korea   -0.4974  1.4547      ^  orange         Confucian\n",
       "Spain          1.4371  0.6482      *       y   Catholic Europe\n",
       "Turkey        -0.6649 -0.4720      d       m           Islamic\n",
       "United States  1.5087  0.5770      v       b  English Speaking"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wvs_data[\"marker\"] = locations_marker_plot.values()\n",
    "wvs_data[\"color\"] = locations_color_plot.values()\n",
    "wvs_data[\"label\"] = locations_label_plot.values()\n",
    "wvs_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = wvs_data.index.to_list()\n",
    "\n",
    "for i, label in enumerate(labels):\n",
    "    plt.scatter(wvs_data.iloc[i,0], wvs_data.iloc[i,1], \n",
    "                alpha=0.8, \n",
    "                marker=wvs_data[\"marker\"].iloc[i], \n",
    "                color=wvs_data[\"color\"].iloc[i], \n",
    "                label=wvs_data[\"label\"].iloc[i])\n",
    "\n",
    "for i, label in enumerate(labels):    \n",
    "    \n",
    "    if label == \"Indonesia\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-1.1, wvs_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"Turkey\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.8, wvs_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"Malaysia\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-1, wvs_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"Chile\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]+0.08, wvs_data.iloc[i,1]+0.3), fontsize=12)\n",
    "        \n",
    "    elif label == \"Brazil\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.5, wvs_data.iloc[i,1]-0.1), fontsize=12)\n",
    "        \n",
    "    elif label == \"Argentina\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]+0.08, wvs_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "    elif label == \"Russia\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.8, wvs_data.iloc[i,1]+0.05), fontsize=12)\n",
    "        \n",
    "    elif label == \"Australia\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]+0.08, wvs_data.iloc[i,1]+0.3), fontsize=12)\n",
    "        \n",
    "    elif label == \"United States\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.2, wvs_data.iloc[i,1]-0.4), fontsize=12)\n",
    "        \n",
    "    elif label == \"France\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.8, wvs_data.iloc[i,1]+0.1), fontsize=12)\n",
    "        \n",
    "    elif label == \"Spain\":\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]-0.6, wvs_data.iloc[i,1]+0.3), fontsize=12)\n",
    "                \n",
    "    else:\n",
    "        plt.annotate(label, (wvs_data.iloc[i,0]+0.08, wvs_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "hs, ls = plt.gca().get_legend_handles_labels()\n",
    "by_label = dict(zip(ls, hs))\n",
    "plt.legend(by_label.values(), by_label.keys(), fontsize=12, bbox_to_anchor=(1, 1.2), loc='upper left')\n",
    "\n",
    "plt.xlabel(\"Survival values | Self Expression values\", fontsize=12)\n",
    "plt.ylabel(\"Traditional values | Secular-Rational values\", fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xlim((-2.5,3.5))\n",
    "plt.ylim((3.5,-2.5))\n",
    "\n",
    "plt.savefig(\"figs/pca-wvs20.eps\", bbox_inches='tight', format=\"eps\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Foursquare Cultural Map 2014 (Silva et al.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>0.16</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>0.17</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>0.21</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>0.21</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0.20</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0.22</td>\n",
       "      <td>-0.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                PC1   PC2\n",
       "Country                  \n",
       "Argentina      0.16 -0.03\n",
       "Australia      0.05  0.17\n",
       "Brazil         0.19 -0.18\n",
       "Chile          0.17 -0.09\n",
       "France         0.21  0.07\n",
       "Great Britain  0.21  0.18\n",
       "Indonesia     -0.28 -0.09\n",
       "Japan         -0.20  0.09\n",
       "Malaysia      -0.35 -0.19\n",
       "Mexico         0.19 -0.15\n",
       "Russia        -0.08  0.08\n",
       "Singapore     -0.25 -0.18\n",
       "South Korea   -0.19  0.17\n",
       "Spain          0.20  0.10\n",
       "Turkey        -0.09  0.19\n",
       "United States  0.22 -0.18"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foursquare_data = pd.read_csv(\"data/foursquare.csv\", index_col=0)\n",
    "foursquare_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>marker</th>\n",
       "      <th>color</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Argentina</th>\n",
       "      <td>0.16</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.17</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chile</th>\n",
       "      <td>0.17</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>0.21</td>\n",
       "      <td>0.07</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>Catholic Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>0.21</td>\n",
       "      <td>0.18</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>Islamic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.09</td>\n",
       "      <td>^</td>\n",
       "      <td>orange</td>\n",
       "      <td>Confucian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>X</td>\n",
       "      <td>g</td>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>o</td>\n",
       "      <td>c</td>\n",
       "      <td>Latin America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.08</td>\n",
       "      <td>s</td>\n",
       "      <td>r</td>\n",
       "      <td>Orthodox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>X</td>\n",
       "      <td>g</td>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.17</td>\n",
       "      <td>^</td>\n",
       "      <td>orange</td>\n",
       "      <td>Confucian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>0.20</td>\n",
       "      <td>0.10</td>\n",
       "      <td>*</td>\n",
       "      <td>y</td>\n",
       "      <td>Catholic Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.19</td>\n",
       "      <td>d</td>\n",
       "      <td>m</td>\n",
       "      <td>Islamic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0.22</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>v</td>\n",
       "      <td>b</td>\n",
       "      <td>English Speaking</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                PC1   PC2 marker   color             label\n",
       "Country                                                   \n",
       "Argentina      0.16 -0.03      o       c     Latin America\n",
       "Australia      0.05  0.17      v       b  English Speaking\n",
       "Brazil         0.19 -0.18      o       c     Latin America\n",
       "Chile          0.17 -0.09      o       c     Latin America\n",
       "France         0.21  0.07      *       y   Catholic Europe\n",
       "Great Britain  0.21  0.18      v       b  English Speaking\n",
       "Indonesia     -0.28 -0.09      d       m           Islamic\n",
       "Japan         -0.20  0.09      ^  orange         Confucian\n",
       "Malaysia      -0.35 -0.19      X       g        South Asia\n",
       "Mexico         0.19 -0.15      o       c     Latin America\n",
       "Russia        -0.08  0.08      s       r          Orthodox\n",
       "Singapore     -0.25 -0.18      X       g        South Asia\n",
       "South Korea   -0.19  0.17      ^  orange         Confucian\n",
       "Spain          0.20  0.10      *       y   Catholic Europe\n",
       "Turkey        -0.09  0.19      d       m           Islamic\n",
       "United States  0.22 -0.18      v       b  English Speaking"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foursquare_data[\"marker\"] = locations_marker_plot.values()\n",
    "foursquare_data[\"color\"] = locations_color_plot.values()\n",
    "foursquare_data[\"label\"] = locations_label_plot.values()\n",
    "foursquare_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = foursquare_data.index.to_list()\n",
    "\n",
    "for i, label in enumerate(labels):\n",
    "    plt.scatter(foursquare_data.iloc[i,0], foursquare_data.iloc[i,1], \n",
    "                alpha=0.8, \n",
    "                marker=foursquare_data[\"marker\"].iloc[i], \n",
    "                color=foursquare_data[\"color\"].iloc[i], \n",
    "                label=foursquare_data[\"label\"].iloc[i])\n",
    "\n",
    "for i, label in enumerate(labels):      \n",
    "    if label == \"South Korea\":\n",
    "        plt.annotate(label, (foursquare_data.iloc[i,0]-0.18, foursquare_data.iloc[i,1]+0.02), fontsize=12)\n",
    "        \n",
    "    elif label == \"Malaysia\":\n",
    "        plt.annotate(label, (foursquare_data.iloc[i,0]+0.01, foursquare_data.iloc[i,1]-0.04), fontsize=12)\n",
    "    \n",
    "    elif label == \"Brazil\":\n",
    "        plt.annotate(label, (foursquare_data.iloc[i,0]-0.09, foursquare_data.iloc[i,1]-0.02), fontsize=12)\n",
    "        \n",
    "    elif label == \"France\":\n",
    "        plt.annotate(label, (foursquare_data.iloc[i,0]+0.02, foursquare_data.iloc[i,1]-0.02), fontsize=12)\n",
    "        \n",
    "    else:\n",
    "        plt.annotate(label, (foursquare_data.iloc[i,0]+0.02, foursquare_data.iloc[i,1]), fontsize=12)\n",
    "        \n",
    "        \n",
    "hs, ls = plt.gca().get_legend_handles_labels()\n",
    "by_label = dict(zip(ls, hs))\n",
    "plt.legend(by_label.values(), by_label.keys(), fontsize=12, bbox_to_anchor=(1.1, 1.1), loc='upper left')\n",
    "\n",
    "plt.xlabel(\"PC 1 (22%)\")\n",
    "plt.ylabel(\"PC 2 (12%)\")\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.xlim((-0.4, 0.4))\n",
    "plt.ylim(-0.4, 0.4)\n",
    "\n",
    "plt.savefig(\"figs/pca-foursquare.eps\", bbox_inches='tight', format=\"eps\")\n",
    "\n",
    "plt.show()"
   ]
  }
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