833 lines
477 KiB
Plaintext
Vendored
833 lines
477 KiB
Plaintext
Vendored
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "# Overview",
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"id": "95dcf546dfd256ab"
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},
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-09-22T21:21:18.994710Z",
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"start_time": "2025-09-22T21:21:18.990663Z"
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}
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},
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"source": [
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"import sys\n",
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"import os\n",
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"import math\n",
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"from typing import Dict\n",
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"\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"sys.path.append(os.path.abspath(\"..\"))\n",
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"from core.utils.data_loader import DataLoader\n",
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"from core.utils.region_mapper import RegionMapper\n",
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"from core.config.pipeline_config import PipelineConfig"
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],
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"outputs": [],
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"execution_count": 17
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-09-22T20:41:43.544845Z",
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"start_time": "2025-09-22T20:41:43.540787Z"
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}
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},
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"cell_type": "code",
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"source": [
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"config = PipelineConfig(\n",
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" paths={\n",
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" \"root_dir\": \"../data\",\n",
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" \"data_dir\": \"../data/dataset\",\n",
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" \"models_dir\": \"../models\",\n",
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" \"outputs_dir\": \"../data/processed\",\n",
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" \"logs_dir\": \"../logs\",\n",
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" \"configs_dir\": \"../configs\",\n",
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" \"checkpoints_dir\": \"../checkpoints\"\n",
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" }\n",
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")\n",
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"\n",
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"loader = DataLoader(config)"
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],
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"id": "a8fb2b6242a1d3ce",
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"outputs": [],
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"execution_count": 2
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-09-22T20:42:09.475771Z",
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"start_time": "2025-09-22T20:41:54.898087Z"
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}
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},
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"cell_type": "code",
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"source": "df = loader.load_csv_complete(config.paths.data_dir / \"names.csv\")",
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"id": "56b61bdd0628ebe4",
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"outputs": [],
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"execution_count": 3
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## Quantitative",
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"id": "db9f5c2b2e9f9c0f"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-09-22T20:43:15.904150Z",
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"start_time": "2025-09-22T20:43:15.003098Z"
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}
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},
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"cell_type": "code",
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"source": "df.describe().T",
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"id": "7000df8794ddfaad",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" count mean std min 25% 50% \\\n",
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"id 8069950.0 16.231662 20.139369 0.0 4.0 10.0 \n",
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"percentage 8069950.0 56.188421 5.403735 10.0 52.0 55.0 \n",
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"year 8069950.0 2017.599677 4.371243 2008.0 2015.0 2019.0 \n",
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"line 8069950.0 118021.649797 195762.213691 4.0 6957.0 19192.0 \n",
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"\n",
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" 75% max \n",
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"id 21.0 939.0 \n",
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"percentage 59.0 96.0 \n",
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"year 2021.0 2023.0 \n",
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"line 117146.0 826262.0 "
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],
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>count</th>\n",
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" <th>mean</th>\n",
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" <th>std</th>\n",
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" <th>min</th>\n",
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" <th>25%</th>\n",
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" <th>50%</th>\n",
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" <th>75%</th>\n",
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" <th>max</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>id</th>\n",
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" <td>8069950.0</td>\n",
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" <td>16.231662</td>\n",
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" <td>20.139369</td>\n",
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" <td>0.0</td>\n",
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" <td>4.0</td>\n",
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" <td>10.0</td>\n",
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" <td>21.0</td>\n",
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" <td>939.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>percentage</th>\n",
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" <td>8069950.0</td>\n",
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" <td>56.188421</td>\n",
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" <td>5.403735</td>\n",
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" <td>10.0</td>\n",
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" <td>52.0</td>\n",
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" <td>55.0</td>\n",
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" <td>59.0</td>\n",
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" <td>96.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>year</th>\n",
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" <td>8069950.0</td>\n",
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" <td>2017.599677</td>\n",
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" <td>4.371243</td>\n",
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" <td>2008.0</td>\n",
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" <td>2015.0</td>\n",
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" <td>2019.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>2023.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>line</th>\n",
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" <td>8069950.0</td>\n",
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" <td>118021.649797</td>\n",
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" <td>195762.213691</td>\n",
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" <td>4.0</td>\n",
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" <td>6957.0</td>\n",
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" <td>19192.0</td>\n",
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" <td>117146.0</td>\n",
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" <td>826262.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"execution_count": 4
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## Regions",
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"id": "572574873e443bda"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-09-22T20:55:24.338165Z",
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"start_time": "2025-09-22T20:55:23.909304Z"
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}
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},
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"cell_type": "code",
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"source": [
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"table = (\n",
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" df['region']\n",
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" .value_counts() # counts by frequency\n",
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" .rename_axis(\"Value\") # name the index\n",
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" .reset_index(name=\"Count\") # make it a DataFrame\n",
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" .sort_values(\"Value\") # sort alphabetically\n",
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" .reset_index(drop=True) # clean row index\n",
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")\n",
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"\n",
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"table"
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],
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"id": "e02c8023d43b3466",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" Value Count\n",
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"0 bandundu 165090\n",
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"1 bandundu-1 37755\n",
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"2 bandundu-2 75006\n",
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"3 bandundu-3 27907\n",
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"4 bas-congo 45604\n",
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".. ... ...\n",
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"120 tshopo-1 49612\n",
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"121 tshopo-2 23624\n",
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"122 tshuapa 13717\n",
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"123 tshuapa-1 8206\n",
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"124 tshuapa-2 11220\n",
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"\n",
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"[125 rows x 2 columns]"
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],
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Value</th>\n",
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" <th>Count</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>bandundu</td>\n",
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" <td>165090</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>bandundu-1</td>\n",
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" <td>37755</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>bandundu-2</td>\n",
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" <td>75006</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>bandundu-3</td>\n",
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" <td>27907</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>bas-congo</td>\n",
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" <td>45604</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>120</th>\n",
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" <td>tshopo-1</td>\n",
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" <td>49612</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>121</th>\n",
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" <td>tshopo-2</td>\n",
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" <td>23624</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>122</th>\n",
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" <td>tshuapa</td>\n",
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" <td>13717</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>123</th>\n",
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" <td>tshuapa-1</td>\n",
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" <td>8206</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>124</th>\n",
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" <td>tshuapa-2</td>\n",
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" <td>11220</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>125 rows × 2 columns</p>\n",
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"</div>"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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||
],
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"execution_count": 15
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## Subregions by Parent Region",
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"id": "2c6b460a94f3ca9d"
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},
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{
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"metadata": {
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"ExecuteTime": {
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||
"end_time": "2025-09-22T21:35:32.123322Z",
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"start_time": "2025-09-22T21:35:32.111748Z"
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}
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},
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"cell_type": "code",
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"source": [
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"def build_subregion_tables(series: pd.Series, mapper: RegionMapper) -> Dict[str, pd.DataFrame]:\n",
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" \"\"\"\n",
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" Returns { PARENT -> DataFrame[subregion, count] }.\n",
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" Parent is the mapped province produced by RegionMapper.map().\n",
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" \"\"\"\n",
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" s = series.astype(str).str.strip().str.lower()\n",
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" parents = mapper.map(s)\n",
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" df_regions = pd.DataFrame({\"subregion\": s, \"parent\": parents})\n",
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" counts = (\n",
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" df_regions.groupby([\"parent\", \"subregion\"], as_index=False)\n",
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" .size()\n",
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" .rename(columns={\"size\": \"count\"})\n",
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" )\n",
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"\n",
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" out: Dict[str, pd.DataFrame] = {}\n",
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" for parent, g in counts.groupby(\"parent\"):\n",
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" g = g.sort_values([\"count\", \"subregion\"], ascending=[False, True])\n",
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" out[parent] = g.reset_index(drop=True)\n",
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" return out\n",
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"\n",
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"\n",
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"def plot_all_parents_grid(series: pd.Series, mapper: RegionMapper, per_row: int = 4):\n",
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" \"\"\"\n",
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" Plot horizontal bar charts of subregion counts for every parent in\n",
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" RegionMapper.get_provinces(), arranged as a grid with `per_row` columns.\n",
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" \"\"\"\n",
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" def truncate_label(l: str, max_len: int = 15) -> str:\n",
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" return l if len(l) <= max_len else l[:max_len - 3] + \"...\"\n",
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"\n",
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" # Build subregion tables once\n",
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" tables = build_subregion_tables(series, mapper)\n",
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"\n",
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" # Respect the explicit list of parents from RegionMapper\n",
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" parents = [p.upper() for p in mapper.get_provinces()] # mapper.get_provinces() are lowercase\n",
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" n = len(parents)\n",
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" rows = math.ceil(n / per_row)\n",
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"\n",
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" # Make figure size scale with grid size\n",
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" fig_w = 6 * per_row\n",
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" fig_h = max(4.8 * rows, 3.5) # minimum height\n",
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" fig, axes = plt.subplots(rows, per_row, figsize=(fig_w, fig_h))\n",
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" if rows == 1 and per_row == 1:\n",
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" axes = [[axes]]\n",
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" elif rows == 1:\n",
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" axes = [axes]\n",
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" elif per_row == 1:\n",
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" axes = [[ax] for ax in axes]\n",
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"\n",
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" # Draw each parent's subplot\n",
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" for idx, parent in enumerate(parents):\n",
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" r = idx // per_row\n",
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" c = idx % per_row\n",
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" ax = axes[r][c]\n",
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"\n",
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" dfp = tables.get(parent)\n",
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" if dfp is None or dfp.empty:\n",
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" ax.set_title(parent)\n",
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" ax.text(0.5, 0.5, \"No data\", ha=\"center\", va=\"center\")\n",
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" ax.set_axis_off()\n",
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" continue\n",
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"\n",
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" labels = [truncate_label(lbl, 15) for lbl in dfp[\"subregion\"]]\n",
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"\n",
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" # Horizontal bar chart: y=subregion, x=count (sorted by count desc already)\n",
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" ax.barh(labels, dfp[\"count\"])\n",
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" ax.set_title(parent)\n",
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" ax.set_xlabel(\"Count\")\n",
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" ax.set_ylabel(\"Subregion\")\n",
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" ax.invert_yaxis() # largest at top\n",
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" # Improve readability with many labels\n",
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" for label in ax.get_yticklabels():\n",
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" label.set_fontsize(8)\n",
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"\n",
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" # Turn off any leftover empty axes\n",
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" total_axes = rows * per_row\n",
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" for j in range(n, total_axes):\n",
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" r = j // per_row\n",
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" c = j % per_row\n",
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" axes[r][c].set_axis_off()\n",
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"\n",
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" plt.tight_layout()\n",
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" plt.show()"
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],
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"id": "8f8a9bb068152311",
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"outputs": [],
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||
"execution_count": 38
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||
},
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||
{
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||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-09-22T21:35:41.780233Z",
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||
"start_time": "2025-09-22T21:35:32.786215Z"
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}
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},
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"cell_type": "code",
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"source": "plot_all_parents_grid(df[\"region\"], RegionMapper(), per_row=3)",
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"id": "4083480dfe1df962",
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"outputs": [
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||
{
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||
"data": {
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||
"text/plain": [
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||
"<Figure size 1800x1920 with 12 Axes>"
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],
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"image/png": 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|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 39
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "code",
|
||
"outputs": [],
|
||
"execution_count": null,
|
||
"source": "",
|
||
"id": "2554af9a7d16e007"
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "# Year",
|
||
"id": "530d424405c49287"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-09-22T21:37:27.531593Z",
|
||
"start_time": "2025-09-22T21:37:27.341662Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"table = (\n",
|
||
" df['year']\n",
|
||
" .value_counts() # counts by frequency\n",
|
||
" .rename_axis(\"Value\") # name the index\n",
|
||
" .reset_index(name=\"Count\") # make it a DataFrame\n",
|
||
" .sort_values(\"Value\") # sort alphabetically\n",
|
||
" .reset_index(drop=True) # clean row index\n",
|
||
")\n",
|
||
"\n",
|
||
"table"
|
||
],
|
||
"id": "73eac09aa9dd3d5",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" Value Count\n",
|
||
"0 2008 183051\n",
|
||
"1 2009 256209\n",
|
||
"2 2010 280484\n",
|
||
"3 2011 323867\n",
|
||
"4 2012 322043\n",
|
||
"5 2013 270742\n",
|
||
"6 2014 330042\n",
|
||
"7 2015 729980\n",
|
||
"8 2016 387432\n",
|
||
"9 2017 402320\n",
|
||
"10 2018 483758\n",
|
||
"11 2019 519065\n",
|
||
"12 2020 632869\n",
|
||
"13 2021 956634\n",
|
||
"14 2022 1221970\n",
|
||
"15 2023 769484"
|
||
],
|
||
"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>Value</th>\n",
|
||
" <th>Count</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2008</td>\n",
|
||
" <td>183051</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2009</td>\n",
|
||
" <td>256209</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2010</td>\n",
|
||
" <td>280484</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2011</td>\n",
|
||
" <td>323867</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2012</td>\n",
|
||
" <td>322043</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>2013</td>\n",
|
||
" <td>270742</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>2014</td>\n",
|
||
" <td>330042</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>2015</td>\n",
|
||
" <td>729980</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>2016</td>\n",
|
||
" <td>387432</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>2017</td>\n",
|
||
" <td>402320</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>483758</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>519065</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>632869</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>956634</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>2022</td>\n",
|
||
" <td>1221970</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>2023</td>\n",
|
||
" <td>769484</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 40,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 40
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-09-22T21:39:45.825812Z",
|
||
"start_time": "2025-09-22T21:39:45.590939Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"table.plot(\n",
|
||
" x=\"Value\",\n",
|
||
" y=\"Count\",\n",
|
||
" kind=\"bar\",\n",
|
||
" figsize=(12, 6),\n",
|
||
" legend=False\n",
|
||
")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Year\")\n",
|
||
"plt.ylabel(\"Count\")\n",
|
||
"plt.title(\"Counts by Year\")\n",
|
||
"plt.xticks(rotation=45) # rotate x labels for readability\n",
|
||
"plt.show()"
|
||
],
|
||
"id": "d19d077267fbcff0",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
],
|
||
"image/png": 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l0X3xPxRzAAAAAPByTqdDZUJKyN/Dgh0aWtKj+2VkunQmMYlynkcUcwAAAADwck6nQ/5+Tg1etlOxcecLZZ3Vw4M1s1uknE4HxTyPKOYAAAAAYBOxcee199hZ02Mgl4rExd/S0tLUvn17bd269arLfPbZZ/rb3/6myMhIdejQQZ9++mkhTggAAAAAQMEwXsxTU1M1dOhQHThw4KrL7Nu3TwMHDlSXLl20Zs0adevWTYMHD9a+ffsKcVIAAAAAAPKf0VPZY2NjNWzYMFnWtV+P8OGHH6p58+bq0aOHJKly5cravHmzPv74Y9WsWbMwRgUAAAAAoEAYLebbtm1Ts2bN9Mwzz6hhw4ZXXa5Tp05KT0+/7PZz584V4HQAAAAAABQ8o8X8kUceydFy1apVy/bxgQMH9M0336hbt265XqfDs7f180jWugpznSaQ017IaS/ktB9fyUpOeyGnvZATV+IN3ycT2zSn6/K6q7KfPn1agwYN0q233qp77rkn1/cPCytVAFMVvXWaQE57Iae9kNN+fCUrOe2FnPZCTmTx9D3QTSmK29SrivnJkyfVq1cvWZalWbNmyenM/bXrTp06pz95SXu+cTgubvTCXKcJ5LQXctoLOe3HV7KS017IaS/kLJr8/JzGCnJCwgVlZrqMrDs3TGzTrHX+Ga8p5idOnHBf/G3x4sUqW7asR1/HslToP1gm1mkCOe2FnPZCTvvxlazktBdy2gs5cSlv+h4VxW1q/O3SciIpKUm9e/eW0+nUW2+9pYiICNMjAQAAAACQL4rsEfP4+HiVKlVKQUFBmjt3ro4cOaIlS5a4PydJQUFBKlWq6L0+AAAAAACAnCqyR8yjoqK0bt06SdKGDRuUkpKiBx98UFFRUe7/Jk2aZHhKAAAAAADypsgcMd+/f/9VP16/fn1hjwMAAAAAQKEoskfMAQAAAADwBRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDikQxT0tLU/v27bV169arLvPDDz/owQcfVIMGDdSlSxft2bOnECcEAAAAAKBgGC/mqampGjp0qA4cOHDVZZKSktSnTx81btxYq1atUmRkpJ566iklJSUV4qQAAAAAAOQ/o8U8NjZWDz30kI4cOXLN5datW6fAwECNGDFC1apV05gxY1SyZEmtX7++kCYFAAAAAKBgGC3m27ZtU7NmzbR8+fJrLrdr1y41atRIDodDkuRwOHTrrbfq+++/L4QpAQAAAAAoOP4mV/7II4/kaLn4+HhVr149221hYWHXPP39av7b7QtF1roKc50mkNNeyGkv5LQfX8lKTnshp72QE1fiDd8nE9s0p+syWsxzKjk5WQEBAdluCwgIUFpaWq6/VlhYqfwaq0iv0wRy2gs57YWc9uMrWclpL+S0F3IiS2hoSdMj5EpR3KZeUcwDAwMvK+FpaWkKCgrK9dc6deqcLCu/Jrs2h+PiRi/MdZpATnshp72Q0358JSs57YWc9kLOosnPz2msICckXFBmpsvIunPDxDbNWuef8YpiHhERoZMnT2a77eTJkwoPD8/117IsFfoPlol1mkBOeyGnvZDTfnwlKznthZz2Qk5cypu+R0Vxmxp/u7ScaNCggXbu3Cnrv989y7L03XffqUGDBoYnAwAAAAAgb4psMY+Pj1dKSookqW3btjp79qwmTZqk2NhYTZo0ScnJybr//vsNTwkAAAAAQN4U2WIeFRWldevWSZKCg4M1d+5c7dixQ507d9auXbs0b948lShRwvCUAAAAAADkTZF5jfn+/fuv+XH9+vW1evXqwhwJAAAAAIACV2SPmAMAAAAA4Aso5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADCoy72MOAAAAAAXB6XTI6XR4dF8/P8+OZbpcllwuy6P7wvdQzAEAAADYltPpUJmQEvL3sGCHhpb06H4ZmS6dSUyinCNHKOYAAAAAbMvpdMjfz6nBy3YqNu58oayzeniwZnaLlNPpoJgjRyjmAAAAAGwvNu689h47a3oM4Iq4+BsAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAYZLeapqakaPXq0GjdurKioKMXExFx12Y0bN+r+++9XZGSkHn74Ye3du7cQJwUAAAAAoGAYLebTpk3Tnj17tGjRIo0bN06zZ8/W+vXrL1vuwIEDGjZsmJ566imtXbtWtWrV0lNPPaXk5GQDUwMAAAAAkH+MFfOkpCStXLlSY8aMUZ06ddS6dWv17t1bS5cuvWzZr776StWrV1fHjh1VqVIlDR06VPHx8YqNjTUwOQAAAAAA+cdYMd+3b58yMjIUGRnpvq1Ro0batWuXXC5XtmVDQkIUGxurHTt2yOVyadWqVQoODlalSpUKe2wAAAAAAPKVv6kVx8fHKzQ0VAEBAe7bypUrp9TUVCUmJqps2bLu29u1a6fNmzfrkUcekZ+fn5xOp+bOnasyZcrker0OR76Mn6t1FeY6TSCnvZDTXshpP76SlZz2Qk578ZWc+cVXvk/ekNPEYzen6zJWzJOTk7OVcknuj9PS0rLdnpCQoPj4eI0dO1YNGjTQO++8o+eee06rV69WWFhYrtYbFlYqb4N7wMQ6TSCnvZDTXshpP76SlZz2Qk578ZWceREaWtL0CIXC23IWxceusWIeGBh4WQHP+jgoKCjb7dOnT9ctt9yiRx99VJI0YcIE3X///XrvvffUp0+fXK331Klzsqw8DJ4LDsfFjV6Y6zSBnPZCTnshp/34SlZy2gs57cXbcvr5OY0Vx4SEC8rMdP35gvnAV3LmhYnHbtY6/4yxYh4REaGEhARlZGTI3//iGPHx8QoKClLp0qWzLbt37151797d/bHT6VTNmjV17NixXK/XslTov0BMrNMEctoLOe2FnPbjK1nJaS/ktBdfyZlXvvI98qacRfGxa+zib7Vq1ZK/v7++//579207duxQvXr15HRmHys8PFwHDx7MdtuhQ4dUsWLFwhgVAAAAAIACY6yYFy9eXB07dlR0dLR2796tTZs2KSYmRj169JB08eh5SkqKJOmhhx7SihUrtGbNGh0+fFjTp0/XsWPH1KlTJ1PjAwAAAACQL4ydyi5Jzz33nKKjo9WzZ08FBwdr0KBBatOmjSQpKipKU6ZMUefOndWuXTtduHBBc+fO1fHjx1WrVi0tWrQo1xd+AwAAAACgqDFazIsXL66pU6dq6tSpl31u//792T5+8MEH9eCDDxbWaAAAAAAAFApjp7IDAAAAAACKOQAAAAAARlHMAQAAAAAwyOhrzAEAAAAAyA2n0yGn0+Hx/f38cn982uWy5HIV3JufU8wBAAAAAF7B6XSoTEgJ+XtQrrOEhpbM9X0yMl06k5hUYOWcYg4AAAAA8ApOp0P+fk4NXrZTsXHnC2Wd1cODNbNbpJxOB8UcAAAAAABJio07r73HzpoeI99w8TcAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGCQv+kBAADwRU6nQ06nw+P7+/nl/rl1l8uSy2V5vE4AAFAwKOYAABQyp9OhMiEl5O9Buc4SGloy1/fJyHTpTGIS5RwAgCKGYg4AQCFzOh3y93Nq8LKdio07XyjrrB4erJndIuV0OijmAAAUMRRzAAAMiY07r73HzpoeAwAAGMbF3wAAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgUL4X89OnT+f3lwQAAAAAwLY8Kua1atW6YgH/7bffdM899+R5KAAAAAAAfIV/Thdcs2aNVq1aJUmyLEsDBgxQsWLFsi0TFxen6667Ln8nBAAAAADAxnJczFu3bq1ff/1VkrRt2zY1bNhQJUuWzLZMiRIl1Lp16/ydEAAAAAAAG8txMS9ZsqQGDhwoSapQoYLatWunwMDAAhsMAAAAAABfkONifqlOnTrp8OHD2rNnj9LT0y/7fMeOHfM6FwAAAAAAPsGjYr5gwQJNnz5dZcqUuex0dofDQTEHAAAAACCHPCrmMTExGj58uJ544on8ngcAAAAAAJ/i0dulpaamqk2bNvk9CwAAAAAAPsejYt6hQwe9/fbbsiwrv+cBAAAAAMCneHQq+/nz5/Xuu+/qww8/VMWKFS97P/PFixfny3AAAAAAANidR8W8SpUq6tu3b37PAgAAAACAz/GomGe9nzkAAAAAAMgbj4r5c889d83PT5kyxaNhAAAAAADwNR5d/O2PMjIydOjQIa1bt05ly5bNjy8JAAAAAIBP8OiI+dWOiC9YsEA//fRTngYCAAAAAMCX5MsR8yxt27bVxo0b8/NLAgAAAABga/lWzJOSkrRixQqFhobm15cEAAAAAMD2PDqVvWbNmnI4HJfdHhgYqIkTJ+Z5KAAAAAAAfIVHxXzx4sXZPnY4HCpWrJiqV6+u4ODgfBkMAAAAQMFyOh1yOi8/4JYTfn6enXzrcllyuSyP7gvYlUfFvGnTppKkX375RQcPHpTL5dJNN91EKQcAAAC8hNPpUJmQEvL3sGCHhpb06H4ZmS6dSUyinAOX8KiYnz17Vs8995w+/fRTlSlTRpmZmbpw4YKaNGmiOXPmqFSpUvk9JwAAAIB85HQ65O/n1OBlOxUbd75Q1lk9PFgzu0XK6XRQzIFLeFTMJ06cqOPHj2vdunWqWrWqJCk2NlajRo3SlClTNHny5HwdEgAAAEDBiI07r73HzpoeA/BpHp23snnzZkVHR7tLuSRVr15dY8eO1aeffppvwwEAAAAAYHceFfPAwEA5nZff1eFwKDMzM89DAQAAAADgKzwq5q1atdILL7ygI0eOuG/75ZdfNHHiRLVs2TLfhgMAAAAAwO48eo358OHDNWDAAN13330qXbq0JOnMmTO688479fzzz+frgAAAAAAA2Fmui/nhw4dVvnx5LVmyRPv379fBgwcVGBioKlWqqFq1arn6WqmpqXrhhRf0ySefKCgoSI8//rgef/zxKy67f/9+RUdHa+/evapcubLGjBmj5s2b53Z8AAAAAACKlByfym5ZliZOnKj7779fO3fulCTVqFFD7dq103vvvaf27dvrxRdflGXl/G0Ppk2bpj179mjRokUaN26cZs+erfXr11+23Llz5/T444+revXq+uCDD9S6dWsNHDhQp06dyvG6AAAAAAAoinJczBcvXqx169Zpzpw5atq0abbPvf7665ozZ45Wr16td955J0dfLykpSStXrtSYMWNUp04dtW7dWr1799bSpUsvW3b16tUqUaKEoqOjVblyZT399NOqXLmy9uzZk9PxAQAAAAAoknJczFesWKHnn39ed9999xU/36pVKz377LM5Lub79u1TRkaGIiMj3bc1atRIu3btksvlyrbstm3bdM8998jPz89923vvvceF5gAAAAAAXi/HrzH/7bffVL9+/Wsu07x5c02aNClHXy8+Pl6hoaEKCAhw31auXDmlpqYqMTFRZcuWdd9+9OhR1a9fX88//7w2b96sChUqaOTIkWrUqFFOx3dzOHJ9F49lrasw12kCOe2FnPZCTlyJN3yffGWbktNefCVnfvGV7xM57SW3OXO6fI6LeVhYmH777TdVqFDhqsscP35cISEhOfp6ycnJ2Uq5JPfHaWlp2W5PSkrSvHnz1KNHD82fP18fffSRnnjiCX388ce64YYbchrhvzlK5Wr5/GBinSaQ017IaS/kRJbQ0JKmR8gVX9mm5LQXX8mZF972u8hT5LSXgsyZ42LeunVrvfbaa4qJiVGxYsUu+3xGRoZmz56tqKioHH29wMDAywp41sdBQUHZbvfz81OtWrX09NNPS5Jq166tr776SmvXrlXfvn1zGkGSdOrUOeXi+nR54nBc/MVcmOs0gZz2Qk57IWfR5OfnNLYTk5BwQZmZrj9f0DBv26aeIqe9eFtOX/ldRM6CR86ry/q98GdyXMz79++vBx54QJ07d1b37t1Vt25dlSpVSmfOnNHevXv11ltv6cKFC5o2bVqOvl5ERIQSEhKUkZEhf/+LY8THxysoKMj93uhZrrvuOlWtWjXbbVWqVNHvv/+e0/HdLEuF/ovSxDpNIKe9kNNeyIlLedP3yFe2KTntxVdy5pWvfI/IaS8FlTPHxbx06dJasWKFpk+frhdffFHJycn/HcxSqVKl1K5dOw0aNEjlypXL0derVauW/P399f3336tx48aSpB07dqhevXpyOrNfk65hw4b69ttvs932888/q3379jkdHwAAAACAIinHxVySQkJCNHHiRI0dO1ZHjx7V2bNnFRISokqVKmW7YnpOFC9eXB07dlR0dLQmT56suLg4xcTEaMqUKZIuHj0vVaqUgoKC1K1bN7311lt67bXX9Ne//lVr1qzR0aNH9be//S1X6wQAAAAAoKjJ8dulXSogIEDVqlVTZGSkbrrpplyX8izPPfec6tSpo549e+qFF17QoEGD1KZNG0lSVFSU1q1bJ0mqUKGCFixYoC1btqh9+/basmWL5s2bp4iICI/WCwAAAABAUZGrI+b5rXjx4po6daqmTp162ef279+f7eNGjRpp1apVhTUaAAAAAACFwqMj5gAAAAAAIH9QzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYJC/6QEAAACAosbpdMjpdHh0Xz8/z459uVyWXC7Lo/sC8G4UcwAAAOASTqdDZUJKyN/Dgh0aWtKj+2VkunQmMYlyDvggijkAAABwCafTIX8/pwYv26nYuPOFss7q4cGa2S1STqeDYg74IIo5AAAAcAWxcee199hZ02MA8AFc/A0AAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACD/E0PAAAAAO/gdDrkdDo8vr+fX+6PCblcllwuy+N1AoA3oJgDAADgTzmdDpUJKSF/D8p1ltDQkrm+T0amS2cSkyjnAGyNYg4AAIA/5XQ65O/n1OBlOxUbd75Q1lk9PFgzu0XK6XRQzAHYGsUcAAAAORYbd157j501PQYA2AoXfwMAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgkNFinpqaqtGjR6tx48aKiopSTEzMn97n119/VWRkpLZu3VoIEwIAAAAAULD8Ta582rRp2rNnjxYtWqRjx45p5MiRKl++vNq2bXvV+0RHRyspKakQpwQAAAAAoOAYK+ZJSUlauXKl5s+frzp16qhOnTo6cOCAli5detVi/v777+vChQuFPCkAAAAAAAXH2Kns+/btU0ZGhiIjI923NWrUSLt27ZLL5bps+YSEBL300ksaP358YY4JAADwp5xOh/z9nbn+z8/v4q6Yn1/u7+t0OgynBgDkF2NHzOPj4xUaGqqAgAD3beXKlVNqaqoSExNVtmzZbMu/+OKL6tSpk26++eY8rddRiH/DstZVmOs0gZz2Qk57ISeuxBu+T960TZ1Oh0qXKSF/P8+Pd4SGlsz1fTIyXTp7Jkkul+Xxer2JNzwW8ouvZCWnvZAzb8sbK+bJycnZSrkk98dpaWnZbv/666+1Y8cOffjhh3leb1hYqTx/DW9YpwnktBdy2gs5kcWTAmiSN23Twct2KjbufKGsq3p4sGZ2i1TZssGFsj7TvO1xmxe+kpWc9kLOvDNWzAMDAy8r4FkfBwUFuW9LSUnR2LFjNW7cuGy3e+rUqXOyCumJZYfj4g5FYa7TBHLaCznthZxFk5+f09hOTELCBWVmXv6SsaLGm7Zp1vaMjTuvvcfOFuq6C3N7+tLj1leykrPgkTP/eVvOrL9nf8ZYMY+IiFBCQoIyMjLk739xjPj4eAUFBal06dLu5Xbv3q2jR4/q6aefznb/J598Uh07dsz1a84tS4X+B97EOk0gp72Q017IiUt50/eIbfrnfOX74ys5Jd/JSk57IWfeGCvmtWrVkr+/v77//ns1btxYkrRjxw7Vq1dPTuf/XqNVv359ffLJJ9nu26ZNG02cOFF33HFHoc4MAAByx+l05OkiZX4evG7b5bJ85nXXAAB7MFbMixcvro4dOyo6OlqTJ09WXFycYmJiNGXKFEkXj56XKlVKQUFBqly58mX3j4iIUFhYWGGPDQAAcsjpdKhMiJmLop1J9J2LogEAvJ+xYi5Jzz33nKKjo9WzZ08FBwdr0KBBatOmjSQpKipKU6ZMUefOnU2OCAAAPOR0OuTv5zRyUTSn00ExBwB4DaPFvHjx4po6daqmTp162ef2799/1ftd63MAAKBoMXFRNAAAvInn55YBAAAAAIA8o5gDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAzyNz0AAACXcjodcjodHt3Xz8+z55tdLksul+XRfQEAAPKKYg4AKDKcTofKhJSQv4cFOzS0pEf3y8h06UxiEuUcAAAYQTEHbIwjj/A2TqdD/n5ODV62U7Fx5wtlndXDgzWzW6ScTgePXQAAYATFHLApXzryyBMQ9hMbd157j501PQYAAEChoJgDNuUrRx596QkIAAAA2BPFHLA5ux959JUnIAAAAGBfFHMAtmD3JyAAAABgX7yPOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQf6mBwAKm9PpkNPp8Pj+fn65fz7L5bLkclkerxMAAACAfVHM4VOcTofKhJSQvwflOktoaMlc3ycj06UziUmUcwAAAACXoZjDpzidDvn7OTV42U7Fxp0vlHVWDw/WzG6RcjodFHMAAAAAl6GYwyfFxp3X3mNnTY8B5EpeXobhyUswJF6GAQAAUBgo5gDgBfL6MgxPXoIh8TIMAACAwkAxBwAvwMswAAAA7ItiDgBehJdhAAAA2A/vYw4AAAAAgEEUcwAAAAAADOJUdrjl5YrPkmdXfeaKzwAAAAB8HcUckvJ+xWfJs6s+c8VnAAAAAL6OYg5JXPEZAAAAAEyhmCMbrvgMAAAAAIWLi78BAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCjxTw1NVWjR49W48aNFRUVpZiYmKsu+9lnn+lvf/ubIiMj1aFDB3366aeFOCkAAAAAAAXDaDGfNm2a9uzZo0WLFmncuHGaPXu21q9ff9ly+/bt08CBA9WlSxetWbNG3bp10+DBg7Vv3z4DUwMAAAAAkH/8Ta04KSlJK1eu1Pz581WnTh3VqVNHBw4c0NKlS9W2bdtsy3744Ydq3ry5evToIUmqXLmyNm/erI8//lg1a9Y0MT4AAAAAAPnCWDHft2+fMjIyFBkZ6b6tUaNGeuONN+RyueR0/u9gfqdOnZSenn7Z1zh37lyhzAoAAAAAQEExVszj4+MVGhqqgIAA923lypVTamqqEhMTVbZsWfft1apVy3bfAwcO6JtvvlG3bt1yvV6Hw/OZPV1XYa7TW/nK98hXckq+k5Wc9kJOeyGnvfhKTsl3spLTXsiZt+WNFfPk5ORspVyS++O0tLSr3u/06dMaNGiQbr31Vt1zzz25Xm9YWKlc3yevTKzTm4SGljQ9QqHwlZyS72Qlp72Q017IaS++klPynazktBdy5p2xYh4YGHhZAc/6OCgo6Ir3OXnypHr16iXLsjRr1qxsp7vn1KlT52RZuZ/XEw7HxVJemOv0lJ+f09gPVELCBWVmugplXb6SU/KdrOQseOTMf+QseOTMf76SU/KdrOQseOTMf96WM6sT/hljxTwiIkIJCQnKyMiQv//FMeLj4xUUFKTSpUtftvyJEyfcF39bvHhxtlPdc8OyVOgl2cQ6vY2vfH98JafkO1nJaS/ktBdy2ouv5JR8Jys57YWceWPs7dJq1aolf39/ff/99+7bduzYoXr16l12JDwpKUm9e/eW0+nUW2+9pYiIiEKeFgAAAACAgmGsmBcvXlwdO3ZUdHS0du/erU2bNikmJsZ9VDw+Pl4pKSmSpLlz5+rIkSOaOnWq+3Px8fFclR0AAAAA4PWMncouSc8995yio6PVs2dPBQcHa9CgQWrTpo0kKSoqSlOmTFHnzp21YcMGpaSk6MEHH8x2/06dOunFF18s8DmdToecTs8vM+jnl/vnP1wuSy6Xj5wPAgAAAAA+zGgxL168uKZOneo+En6p/fv3u/+9fv36whwrG6fToTIhJeTvQbnO4snFCTIyXTqTmEQ5BwAAAACbM1rMvYHT6ZC/n1ODl+1UbNz5Qlln9fBgzewWKafTQTEHAAAAAJujmOdQbNx57T121vQYAAAAAACbMXbxNwAAAAAAQDEHAAAAAMAoijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAAAACDKOYAAAAAABhEMQcAAAAAwCCKOQAAAAAABlHMAQAAAAAwiGIOAAAAAIBBFHMAAAAAAAyimAMAAAAAYBDFHAAAAAAAgyjmAAAAAAAYRDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIKPFPDU1VaNHj1bjxo0VFRWlmJiYqy77ww8/6MEHH1SDBg3UpUsX7dmzpxAnBQAAAACgYBgt5tOmTdOePXu0aNEijRs3TrNnz9b69esvWy4pKUl9+vRR48aNtWrVKkVGRuqpp55SUlKSgakBAAAAAMg/xop5UlKSVq5cqTFjxqhOnTpq3bq1evfuraVLl1627Lp16xQYGKgRI0aoWrVqGjNmjEqWLHnFEg8AAAAAgDcxVsz37dunjIwMRUZGum9r1KiRdu3aJZfLlW3ZXbt2qVGjRnI4HJIkh8OhW2+9Vd9//31hjgwAAAAAQL7zN7Xi+Ph4hYaGKiAgwH1buXLllJqaqsTERJUtWzbbstWrV892/7CwMB04cCDX63U6JcvK/bx1ypdW8QC/3N/RA1XLlXT/21nIT52QM/+ZzCn5TlZy5j9yFjxy5j9yFjxfySn5TlZy5j9yFjxvyfnfY8t/vpxleVJT827NmjWaOXOmtmzZ4r7t6NGjuvfee/X555/r+uuvd9/es2dPNWrUSE8//bT7tpkzZ2rnzp168803C3NsAAAAAADylbFT2QMDA5WWlpbttqyPg4KCcrTsH5cDAAAAAMDbGCvmERERSkhIUEZGhvu2+Ph4BQUFqXTp0pcte/LkyWy3nTx5UuHh4YUyKwAAAAAABcVYMa9Vq5b8/f2zXcBtx44dqlevnpx/OHG/QYMG2rlzp7LOurcsS999950aNGhQmCMDAAAAAJDvjBXz4sWLq2PHjoqOjtbu3bu1adMmxcTEqEePHpIuHj1PSUmRJLVt21Znz57VpEmTFBsbq0mTJik5OVn333+/qfEBAAAAAMgXxi7+JknJycmKjo7WJ598ouDgYD3xxBN67LHHJEk1atTQlClT1LlzZ0nS7t27NW7cOB08eFA1atTQCy+8oNq1a5saHQAAAACAfGG0mAMAAAAA4OuMncoOAAAAAAAo5gAAAAAAGEUxBwAAAADAIIo5AAAAAAAGUcyR7yzLki9cU9BXcmbxlaxZOX0lr52xDeGtTp8+bXoE5BNf2lfwpay+gn2iwkUxL0R/fFDb9UHucDjkcDhMj1EofCHn4cOHJV3MatfHbJbU1FRduHBBkr237R93nuy6XRMSEiRJLpfL8CQFa+LEiVqyZInpMQpcenq6MjIyTI9R4F599VWNGzfO9BgFjn0ie/KFrCkpKZLs+5jNwj5R4fM3tmYfs3jxYu3cuVP+/v5q3LixunbtassH+VtvvaV9+/YpPT1d1apVU58+fUyPVCD++c9/aufOnSpWrJhq1aql3r17mx6pQGzfvl0LFy5Ujx49dNttt7nLuR0fu/PmzdO///1vnTp1Sg0bNtSwYcNUunRp02PluzfffFO7du2Sy+VS06ZN9eijj9pye3766acaN26cli5dqsqVK8vlcsnptN9z0S+++KJWrVqlt99+2/QoBWrevHnatm2b/Pz81KBBA/Xv39/0SAVi6tSp+uc//6myZcvq999/V0REhC0ft+wT2Y+v7Bd99tln2rt3r3r06KFSpUqxT+Tlito+kf1+2xdBs2fP1vz581WpUiUFBQVp/vz5+vzzz02Ple/mzp2rN954QzfccIMiIiLchW7fvn22elZx3rx5euONN1StWjVFRERo/vz5euKJJ2yXU5KCgoL05ZdfaunSpfriiy8k2fPI+dy5c7VkyRLdc889+vvf/64tW7Zo+PDhpsfKd6+99prmzZunatWqqUyZMlq8eLG2bt1qeqwCkZqaqpMnT+qZZ57RwYMH5XQ6bXfkfPLkyXr//fe1ZMkS1axZ03273X4+FyxYoH/+85+67bbbVK1aNdueCTF58mStWrVKs2bNUunSpXX8+HFblnL2iey3r+BL+0Xfffed3nnnHa1atUpnzpxhn8iLFcl9IgsFxuVyWfHx8VbXrl2tzZs3W5ZlWfHx8dZDDz1kffPNN1ZaWprhCfOHy+WyEhMTrUcffdR699133befOHHCuuuuu6y///3v1o4dOyyXy2VwyvyRnJxsDRgwwFqxYoX7tlOnTll/+9vfrB49eljbt2+3Rc4sR48etSIjI6327dtbAwcOtL788kv35+yQ0+VyWadPn7b+/ve/Wx999JH79gMHDlj16tWz1q1bZ3C6/ONyuay4uDirc+fO1pYtWyzLsqzjx49bHTt2tL7++msrLi7O7IAFIDEx0erYsaPVo0cP67777rP2799vWZY9HreWZVlfffWVVaNGDWvXrl3Zbj99+rR1+PBhQ1Plv9TUVOvpp5+23nrrrWy3u1wu6/jx44amyn9jxoyxmjZtav3444+WZVlWv379rFdeecWyLMvKyMgwOFn+YZ/IfvtEluU7+0VZP4dr1qyxatSoYT366KPWwoULrcTERMuy7PG3hX0i8/tE9nsqtghxOBwqUaKEJCkuLk6SVK5cOcXHxys6OloPP/ywXnjhBZ07d87kmHnmcDgUFBSk8+fPuy9Yk5mZqfDwcD388MP69ttvFRMTo99//12Sdx/NCQoKUkpKivbt2yfpYpayZctqyZIlSk9P12uvvaZDhw4ZnjLvsl7HuW/fPt14442aNm2akpKStHz5cv3rX/+SZI8j51k/oykpKe6jcJJ0/fXXq1KlSjpy5IjB6fKPw+FQsWLFlJGR4X69WGhoqA4fPqzo6Gi1bdtWTz31lPbs2WN40vxhWZb8/Pzkcrl09913KzIyUoMHD9bhw4flcDh08uRJ0yPm2e23366oqCgtWLDAfVv//v31+OOP64EHHlD//v31448/GpwwfwQEBOjs2bPav3+/pItHyQcNGqQuXbqoe/fuev7553X27FnDU+bNb7/9pu+++04xMTHuMx+qVKniPkvJz8/P5Hj5xpf2iYoXL+4T+0SS7+wXZf0cxsbGqkmTJmrUqJE2bNhgqyPnWY9dX9knSk9PL3L7RBTzAuZwOFS+fHmtWbNGY8eOVdu2bXXDDTeoV69eevjhh7VhwwYNHTrU9Jh55nK5FBYWph07digtLc39C6x8+fLq2bOnDhw4oBdffFGS915AIiMjQ5ZlqUGDBjp69KhOnDghh8OhjIwMlSpVSnPnztXJkyc1bdo006N6LGtH0N//4uUnKlasqBtvvFG1atXS8OHDdeHCBVuV88zMTDkcDvn7++vXX39VWlqaLMtScHCwKlasqF9//VWSvP6CU5mZmQoICFCdOnUUHBws6eKph02aNNHo0aM1d+5cnThxQi+99JLOnz9veFrPZWZmuv8dHBysu+66S+Hh4erTp49q1qypgQMH6oknntDChQuVmppqcNK8SU9PlyT169dPqamp+sc//qFnn31W/v7+6tevn15//XUdO3ZMU6ZM8erSmvU7t06dOjp27JhSUlIUHR2ttLQ09e7dW0OGDNGWLVu8/m9ohQoVtGrVKtWpU8f9GO7Ro4cuXLigtWvXGp4u/2RmZsrPz0/ly5fX2rVrbbtPlPX3IiwsTN99951t94myuFwuNWzYUIcPH7blflGWrH0dPz8/1ahRQ88884wty7kkFStWTEeOHLHtPpF0MWO9evVUsmRJSUVon8jEYXq72759u/Xtt9+6T0k7ffq0NXr0aOvpp5+2mjZt6j6l0rIuntrUqFGjy07T8wZ/zHnkyBGradOm1pAhQ6z169db33zzjVW3bl3rk08+sY4fP27dcccd1r/+9S/DU+fe559/nu3j+Ph4q0WLFtazzz7rPnUpPT3dsqyL27Np06bW6tWrC3vMPDt9+rTVsWNHa8aMGe7bUlJSrISEBPfHP/30k9WrVy+vP639Stt0+/btVmZmpvu2nj17WsOGDcu2XNYpa97ijzkvXLjg/veJEyesEydOuD8+d+6cdccdd1jz588vtPnyy6U5L92Gr776qtWnTx/Lsi6+LKN169ZW7dq1rY0bN1qW5X2nCP9xe6amplpz5861evXqZXXt2tX66aef3J87f/68dccdd1hvvPFGYY+ZZ3/Mefz4catx48bWpEmTrBkzZljbtm1zf+7EiRNWkyZNrDfffLOwx8yzS3P+8bF4/vx5a/DgwdaoUaMKe6x8d6Xft6NGjbKeeeYZW+0T/THnoUOHrEaNGllDhw611T6RZVnWF198Yb3//vvWpk2brNTUVCsxMdG66667rKFDh9pqvygr56effmqdOnXKsizLiouLsw4ePOhe5qWXXrK6du1qxcTEeO1p7Vk5s/42njlzxtq5c6d7G1qWPfaJLs2ZmZmZ7eUzRWWfiCPm+eyll17S4MGD9cILL+ihhx7SxIkTderUKU2aNEmTJk1S06ZN3Ucj09LSFB4ermbNmrlP6/IWV8qZnJys1atX6/fff9eMGTP07LPP6tFHH1Xr1q1VqlQphYaGKj4+3vTouZKQkKBXXnlFr7zyivu2cuXKaeHChdqyZYvGjh2rzMxM9zYtV66c6tWr53XbU7r47OH58+f13nvvuZ/JDwwMdF+F0+Vy6eabb9bo0aN14cIFrVy5Ups3b5bkXc/4X22bNmrUKNuFlv540aWXXnpJkydPVlpaWqHNmhdXyhkYGCjp4hHX8PBwhYeHS7r47HdwcLCaN2+uU6dOGZnXU3/M6XQ63c/m33333e4zBP7xj38oLS1Nd9xxh1577TXt27fPq04RvtL2DAgI0MMPP6z09HTFxcUpJCRE0sXtWbJkSUVFRdnid25ERIReffVVrVmzRnPnznWfeuhyuRQeHq7mzZvr+PHjpkb2yB9z+vn5ZTvjo2TJknrsscf0wQcfaOPGjabGzLOr/b6dOHGixo4dq+bNm9tin+hKOatUqaIVK1bo8OHDmjlzpi32iSRp+vTpGj16tFasWKGRI0dq1KhRSk5O1oIFC/TZZ5/ZZr/o0pwjRozQlClT9MMPP+i6665T1apV3X9nnn32WTVu3FgbNmzQ6tWrlZiY6FX7RJfmHDVqlIYNG6bff/9dDRs2dG9Dyfv3if6Yc8SIEe6XSBWlfSKKeT7atWuXPvzwQ7366qt65513FBMTo59++kkzZszQxx9/rODgYP3+++/u95sNCAiQ9L/XOkje8Vqja+U8evSo3nnnHa1YsUKrV6/WqFGjJEklSpRwP+C9yaVlderUqe7bb775Zs2fP18ff/yxnn32WR09elSWZcnpdMrf398r3+MyODhYTqdTderU0Z49ezR58mRJF38ZZ2Zmyul0yrIsVa9eXWPGjNGxY8e0fv16JSUlGZ48d662TbN2irO2WbFixdxFdsaMGVq0aJEeffRR989tUXelnFmvu876fXPu3Dmlp6e7//gmJSW583nLY/dKObPyVKhQQbGxsfrrX/+qf//734qJidHIkSMVERGhsWPHuk/T8wZXe9yWKlVKr732mhYtWqTrrrtO0v/ynzt3TkFBQZK8e3tKUpMmTTRx4kSVLl1aa9asUUJCgntH8dKrs3tzzkvLedbpwX369NHChQvdr9/1NlfbnlmvNz98+LD7rf68dZ9IuvIT25JUtWpVLV68WEuWLNHatWu9fp/oq6++0rp16zRnzhwtWbJEb731lvbu3avFixerWrVqmjdvni32i66Uc/fu3fr444/dy/j7+7t/9zz77LNq1qyZli9fro8++shr3jHiSjn37NmjDz/8UFL29/f25n2iK+X8z3/+ow0bNkhSkdonclje8BPiJb788ktNnjxZa9eudW/Iffv2acGCBUpMTFSfPn3kdDrVu3dv3XPPPbrlllt06tQpffDBB3r77bd10003GU6QM9fKmZCQoIcfflj33nuvfv31V61atUqZmZlKTU3V6tWr9e677+rGG280nCB37rvvPlWpUkUXLlxQ7dq1NXr0aPfnDh06pL59+6pixYrKzMxUWFiYtmzZonfffVdVq1Y1OHXOWf99D87Y2FgNHjxY06ZN0+7du7V27VrVr1/fnTfr9YFZy//8888KCgpS+fLlDSfIvatt00vf67pfv34qUaKEatasqZkzZ2r58uWqU6eOybFz7Wo5MzMz5XK5tHDhQn377beqUKGC/Pz89P7772vFihWqVq2a4clz52o509LSNGbMGB09elQTJkzQzTffLEn66aefVKZMGUVERJgcO9eu9btIknbv3q3FixercuXKOnPmjFavXu3127NWrVoaM2aMpIvbc+vWrXr22WdVq1YtlSlTRsHBwVq3bp3effddr875x5/PrLM5fvjhB82fP19BQUEaMGCAKlasaHJkj1zrcfvVV1+pb9++uu+++3TzzTd75T5Rlj/7u3LkyBGtXbtWGRkZXrtP9N5772nZsmVauXKl+7bFixdr7ty5Wr16tcLDw/XLL7/oqaee8ur9omvlXLNmjftJUCn7fsPs2bPVsWNHr/k5zU1Ob94nyknO9PT0IrFPxBHzfHTTTTcpNTXVfQEtSapZs6b69eun0qVL6+2331bJkiW1aNEi/f777/rmm290/PhxLVq0yKv+AF0rZ0hIiD766CPt379fISEhSkhI0MGDB/XLL79o0aJFXvMHKOv5qtjYWPn7++vpp5/WX/7yF+3evdt9JFm6+L1YtmyZ2rVrp5tuukkRERFasWKFV/zxyczMdF/8TJIqVaqkm2++WTfccIM6dOigdu3aZcubdbQ16+ImVatW9apSnpNteulp0BUrVtRHH32kefPm6Z133vGaP0A5yenn56dixYrpr3/9q0JCQnTu3DmlpaVp2bJlXlNucpIzICBAPXr00MyZM3XzzTe773PLLbd4TSnP6e8i6eJZL0eOHNH333+vuLg4vf32216/Pf/zn/9k254tWrTQ+++/r4YNG6pkyZIKDg72qicfcvrzmfV7qHbt2mrevLni4+NVvHhxY3PnVk4ft7fddpsWL17stftEOf27Ismr94myREREKCEhwX0KsCRVrlxZKSkp7pxVqlRx7xdVqVLFq/aLslwr5x9PU790v2HgwIFeU8ql3OWsUKGCV+4TSTnLeek+0dmzZ83tExXGC9ntLCMjw33RlpSUFGvEiBHW8OHDs12Ex7Isa8+ePVanTp3cF9ZKTU3N9v+iLqc59+7da3Xq1Ml6+eWXLcv6X76UlJTCHdhDl+a0rIvzDx482Dp16pR17tw5a9GiRVbXrl2tSZMmXfH+l154qih74403rGeeecZ64IEHrJUrV1p79+61LCv7BYiultdbMmbxdJvu2rXLuv/++619+/YV9sge8TRn1va89CIvRVlOc06cONG9jLddiMeyPN+eWdvRG/+2WFbOc2ZtU2/5feRJzksvTHTmzJlCnddTnm7PrKx2f9xm/Xx6yz6RZWXPeuTIEWvcuHHW/v373T97sbGxVv369a2ffvrJyszMvOxCht74M5qTnN7K05x79+612rdv777gc1GX18ftpb9/CxOnsufB3LlztX//fh09elQPPfSQoqKilJSUpCFDhui2225T9+7dsz0bumnTJo0ZM0Zr1qzR9ddf7z7yWNQvEuFpzrVr1yo8PNz92mRvytm1a1fVrl1btWvXznZa4fnz57Vq1SqtW7cu22neGRkZ8vf394qcCxYs0MKFC9WvXz/Fxsbq2LFjSktL0xNPPKGWLVtK+l+erLyffPKJbrrpJk2YMMHw9LmTl22akpLivgBIUecrj9285Lz0dMOiju355znT09NVrFgxn8npDXjc2iun9L+sR44cUdeuXRUVFaUbbrjBnUO6+NKgLl26aPXq1apWrZocDoc++ugjhYeHq0mTJl6R1dOc69atU3h4uBo3bmw4Qc54mvPDDz9UWFiY6tWr51X7RJ7kjIiIMPq49Y69lCJowYIFevPNN9WwYUPVqlVL69ev14gRI5SamqopU6Zo06ZNWrRoUbYLtlx//fUqX768AgMD3Ru7qP+yykvOgIAA946wN+Z88cUX9fnnn7v/0GaVtM6dO6tdu3b64Ycf9Pzzz0v638WWinpOSfrxxx/12GOPqUePHho/frwGDhyoW265RRMnTtSmTZskXcyTmZnpznvnnXfq2LFjOnnypOHpcy6v2zQoKMgr/gD5ymM3rzm9pZSzPXOWM6us+krOoo7Hrb1yStmz1q5dW+vXr9fIkSP1+eefu59ccLlcOnv2rNLT01WiRAk5HA698soreu6553T99ddLKvpZ85Jz1KhRXvOyqLzkHD16tCpWrOh1+0Se5DT9uPX/80VwJZeWG0n6/vvv9f7772vQoEF65ZVXNGvWLI0dO1anTp3S7bffrsaNG2vdunVKTU0t8r+kLuXLOT/88ENNnDhR6enpuvfeey8rqykpKdq6datOnjypcuXKGU6QMxkZGYqLi8v2h6Rhw4YqW7asihUrppdfflnFixfXHXfc4b7QW3BwsB599FF17dpVZcqUMTh97vjKNiUnOclZdJGTnN6YU8pZ1qwr6Pv7+yswMND9DhFLly71mtfPk5OcRSknxdwDf1ZuRowYoVdffVUzZszQsmXLNHPmTJUpU0apqamaNWuWQkNDDU6fc+S0T1k9cOCAnE6nypUrp549eyo6Olr33nuvbr31VkkXL/z20EMPKSUlRYsXL9aNN96oSpUquV9uUbJkScMJcscXtqlETnKSsygjJzm9MaeUu6zXXXedQkJCNHToUO3YsUPLli1T3bp1DU6fc+QkZ5HLWUivZbeFn376yYqNjbUSExOtjRs3WnfccYe1Y8eObMv8/PPP1tixY60nn3zSOnnypGVZlpWQkGAdOXLEOn36tImxc42c//Pzzz9b0dHRVp8+fazDhw+7b/emi0nNmDHDat++vXX33Xdb7dq1syZOnGhNnz7dGjRokLV///5sy27bts3q2rWr9eWXXxqaNm98ZZuS83/ISc6ihpz/Q07vyWlZuc966NAh69SpU1bTpk2tevXqec2Fwcj5P+QsWjm5+FsOvfLKK9q8ebMuXLig4sWL6/bbb1dQUJAOHz7sfo1ulm+//VbTp0/XoEGDFBUVZXDq3CPnlXO+/PLLGjhwoNflXL58uebMmaPZs2crLS1Nhw4d0vTp03XXXXcpJSVFQUFB6t27t/v9nSWpZ8+eqly5ssaPH29w8tzzlW1KTnKSs+giJzm9MaeUt6xbtmxRxYoVs+1LFFXkJGdRzukdV8MxbPny5Vq9erUmTZqkadOm6bHHHtP777+vuLg4ORwOLVy4UAcOHHAv36RJEwUFBemTTz4xOHXukfPqOQMDA70upyQdPHhQrVq1Uv369dW4cWO1atVK9erV0w033KD27dsrMTFRr7zyinbv3u2+T2hoqG644QaDU+eer2xTcpKTnEUXOcnpjTklz7OuX79eknT33XcXqXJzNeQkZ1HPSTHPAV8pN+S0T86sE2Hi4+OzXUk9LCxMFSpU0BdffKHWrVvr0UcfVWhoqB5//HENGDBATz75pL788ku1bt3a1Oge8YVtKpGTnOQsyshJTm/MKXmetUKFCganzj1ykrOo5+Tib9dg/fc97OLj45Wenu6+/dJyM2TIEAUGBmrDhg16/PHH1axZM6Wlpem7777TwIEDDU6fc+S0V07pf2/z0L59e82aNUsnTpxQuXLl5OfnpwoVKmj79u1yuVy688471bBhQ7Vs2VLffvutihcvrlGjRqlatWqGE+SMr2xTcpKTnEUXOcnpjTkl38lKTnJ6S06OmF/DpeXm6NGjOnHihDIzMyVJFSpUUGpqqrvcjBw5UpMnT1b58uVVq1YtrVixQtWrVzc5fo6R0145L3XPPfdo3rx5CgsLc+f38/OTn5+f+5dZ6dKlVaNGDY0ZM0ZDhw71mlIu+c42JSc5yVl0kZOc3phT8p2s5CSnt+TkiHkO3HPPPapbt+5Vy01gYKC73LRp08bwtJ4jp71yZrn0bSMkKSkpSRcuXHCf7j5jxgzNmzdPX3/9tUJCQuR0et/zdb6yTclJTm9ETnJ6I1/JKflOVnKSs6jzvj1wQyIiIuTv7+8uLVcqN/fdd59Onz4tl8tlctQ8Iae9cl4qK5vT6ZSfn5+CgoL02muvacmSJVqxYoXKli3rlaU8i69sU3KS0xuRk5zeyFdySr6TlZzkLMo4Yp5LWa9ruFa5sQNy2ivnpUJCQlSyZEmNHz9eK1eu1DvvvKO6deuaHivf+Mo2JSc5vRE5yemNfCWn5DtZyUnOoohi7iG7l5ss5LSPrNN86tatqwkTJig2NlbLly9X7dq1DU9WMHxhm0rktBty2gs57cVXckq+k5Wc9uL1OS145Pvvv7dq1Khh1a1b19q7d6/pcQoMOe0nKSnJmjBhgnXw4EHToxQoX9mm5LQXctoLOe3FV3Jalu9kJae9eHtOh2X99yR85EpycrJefvllPfLII6patarpcQoMOe0pIyND/v72PmHGV7YpOe2FnPZCTnvxlZyS72Qlp714e06KeR74QrmRyAnv5SvblJz2Qk57Iae9+EpOyXeyktNevDknxRwAAAAAAIO8972RAAAAAACwAYo5AAAAAAAGUcwBAAAAADCIYg4AAAAAgEEUcwAAAAAADKKYAwAAAABgEMUcAAAfMnToULVs2VLJycmXfa5Xr17q1q2beCdVAAAKF8UcAAAfMnLkSJ07d05vvPFGtts/+eQTffvttxo/frwcDoeh6QAA8E0UcwAAfEhERIQGDRqkf/7znzp69KgkKSUlRS+++KJ69eqlW265xfCEAAD4Hoo5AAA+pnv37qpcubJeeuklSdKCBQvkdDo1YMAA/f777+rbt68aNGigVq1aafbs2crMzHTfd+XKlWrbtq3q1q2rZs2a6YUXXnB/ftSoURo1apT++te/6rbbbtMvv/xiIh4AAF7H3/QAAACgcPn7+2vs2LHq3r27Nm3apIULF2rWrFkKDAzUwIEDVbNmTa1evVrx8fEaO3asHA6HBgwYoG3btmnixIl66aWXVLt2be3Zs0fDhw/XbbfdpjZt2kiS1q5dqzlz5qhcuXKqUqWK2aAAAHgJjpgDAOCDmjRpog4dOmjw4MG6++671aJFC/373//WsWPHNGHCBFWtWlXNmjXTyJEjtXjxYklSiRIlNGnSJLVp00YVK1ZU27ZtVbt2bR04cMD9devVq6dWrVqpfv36pqIBAOB1OGIOAICP6tu3r95//30NGDBAknTw4EElJiaqUaNG7mVcLpdSUlKUkJCgunXrKigoSLNmzVJsbKz279+vw4cPKyoqyr18hQoVCj0HAADejmIOAICPCgwMzPb/jIwMVa1aVa+//vply5YqVUpffvmlBgwYoI4dO6pFixYaMGCAXnjhhSt+TQAAkHOcyg4AACRJN910k44dO6ayZcuqcuXKqly5sn799VfNmjVLDodDK1euVJcuXTR+/Hg9+OCDqlatmo4cOcL7ngMAkEcUcwAAIEmKiopShQoVNHz4cO3fv1/bt2/X888/r+LFi8vPz08hISHauXOn9u/frwMHDmjUqFGKj49XWlqa6dEBAPBqFHMAACBJ8vPz0z/+8Q+5XC499NBDGjRokFq2bKn/+7//kyQNHDhQYWFh6tq1q3r16qXAwEA9/PDD+vHHHw1PDgCAd3NYnH8GAAAAAIAxHDEHAAAAAMAgijkAAAAAAAZRzAEAAAAAMIhiDgAAAACAQRRzAAAAAAAMopgDAAAAAGAQxRwAAAAAAIMo5gAAAAAAGEQxBwAAAADAIIo5AAAAAAAGUcwBAAAAADDo/wF+ZLNgVWEf/gAAAABJRU5ErkJggg=="
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 44
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-09-22T21:45:19.209115Z",
|
||
"start_time": "2025-09-22T21:45:19.192219Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"def build_parent_year_tables(regions: pd.Series, years: pd.Series, mapper: RegionMapper) -> Dict[str, pd.DataFrame]:\n",
|
||
" \"\"\"\n",
|
||
" Returns { PARENT -> DataFrame[year, count] } where count is the number of rows\n",
|
||
" in that parent for each year (all subregions summed).\n",
|
||
" \"\"\"\n",
|
||
" r = regions.astype(str).str.strip().str.lower()\n",
|
||
" y = pd.to_numeric(years, errors=\"coerce\").dropna().astype(int)\n",
|
||
" # align after coercion\n",
|
||
" df_regions = pd.DataFrame({\"region\": r, \"year\": years}).dropna(subset=[\"year\"])\n",
|
||
" df_regions[\"year\"] = pd.to_numeric(df_regions[\"year\"], errors=\"coerce\").astype(\"Int64\")\n",
|
||
" df_regions = df_regions.dropna(subset=[\"year\"])\n",
|
||
" df_regions[\"year\"] = df_regions[\"year\"].astype(int)\n",
|
||
"\n",
|
||
" # Map to parent provinces via RegionMapper\n",
|
||
" df_regions[\"parent\"] = mapper.map(df_regions[\"region\"])\n",
|
||
"\n",
|
||
" # Compute global year range so every parent gets the same y-axis domain\n",
|
||
" if df_regions.empty:\n",
|
||
" return {}\n",
|
||
" year_min, year_max = df_regions[\"year\"].min(), df_regions[\"year\"].max()\n",
|
||
" full_year_index = pd.Index(range(year_min, year_max + 1), name=\"year\")\n",
|
||
"\n",
|
||
" # Group and build individual parent tables with missing years filled as 0\n",
|
||
" g = df_regions.groupby([\"parent\", \"year\"]).size().rename(\"count\").reset_index()\n",
|
||
" tables: Dict[str, pd.DataFrame] = {}\n",
|
||
" for parent, gp in g.groupby(\"parent\"):\n",
|
||
" gp = (gp.set_index(\"year\")\n",
|
||
" .reindex(full_year_index, fill_value=0)\n",
|
||
" .rename_axis(\"year\")\n",
|
||
" .reset_index()[[\"year\", \"count\"]])\n",
|
||
" tables[parent] = gp.sort_values(\"year\").reset_index(drop=True)\n",
|
||
" return tables\n",
|
||
"\n",
|
||
"\n",
|
||
"def plot_all_parents_by_year_grid(regions: pd.Series, years: pd.Series, mapper: RegionMapper, per_row: int = 4):\n",
|
||
" \"\"\"\n",
|
||
" Plot horizontal bar charts of yearly counts (summing all subregions) for each parent\n",
|
||
" from RegionMapper.get_provinces(), arranged as a grid with `per_row` columns.\n",
|
||
" \"\"\"\n",
|
||
" tables = build_parent_year_tables(regions, years, mapper)\n",
|
||
" parents = [p.upper() for p in mapper.get_provinces()] # keep your canonical ordering\n",
|
||
" n = len(parents)\n",
|
||
" rows = math.ceil(n / per_row)\n",
|
||
"\n",
|
||
" fig_w = 6 * per_row\n",
|
||
" fig_h = max(4.8 * rows, 3.5)\n",
|
||
" fig, axes = plt.subplots(rows, per_row, figsize=(fig_w, fig_h))\n",
|
||
" if rows == 1 and per_row == 1:\n",
|
||
" axes = [[axes]]\n",
|
||
" elif rows == 1:\n",
|
||
" axes = [axes]\n",
|
||
" elif per_row == 1:\n",
|
||
" axes = [[ax] for ax in axes]\n",
|
||
"\n",
|
||
" for i, parent in enumerate(parents):\n",
|
||
" r, c = divmod(i, per_row)\n",
|
||
" ax = axes[r][c]\n",
|
||
"\n",
|
||
" dfp = tables.get(parent)\n",
|
||
" if dfp is None or dfp.empty:\n",
|
||
" ax.set_title(parent)\n",
|
||
" ax.text(0.5, 0.5, \"No data\", ha=\"center\", va=\"center\")\n",
|
||
" ax.set_axis_off()\n",
|
||
" continue\n",
|
||
"\n",
|
||
" # Horizontal bars: y = year (string for tidy ticks), x = count\n",
|
||
" ylabels = dfp[\"year\"].astype(str)\n",
|
||
" ax.barh(ylabels, dfp[\"count\"])\n",
|
||
" ax.set_title(parent)\n",
|
||
" ax.set_xlabel(\"Count\")\n",
|
||
" ax.set_ylabel(\"Year\")\n",
|
||
" ax.invert_yaxis() # most recent year at top if desired; remove if you prefer ascending top->bottom\n",
|
||
"\n",
|
||
" # compact y tick labels\n",
|
||
" for label in ax.get_yticklabels():\n",
|
||
" label.set_fontsize(8)\n",
|
||
"\n",
|
||
" # Turn off any unused axes\n",
|
||
" total_axes = rows * per_row\n",
|
||
" for j in range(n, total_axes):\n",
|
||
" r, c = divmod(j, per_row)\n",
|
||
" axes[r][c].set_axis_off()\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n"
|
||
],
|
||
"id": "c3432b78cb51dba9",
|
||
"outputs": [],
|
||
"execution_count": 48
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-09-22T21:45:28.201718Z",
|
||
"start_time": "2025-09-22T21:45:20.530993Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "plot_all_parents_by_year_grid(df[\"region\"], df[\"year\"], RegionMapper(), per_row=4)",
|
||
"id": "3e9c97741b7f976f",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 2400x1440 with 12 Axes>"
|
||
],
|
||
"image/png": 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|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 49
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "code",
|
||
"outputs": [],
|
||
"execution_count": null,
|
||
"source": "",
|
||
"id": "cc7a928c172750d2"
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|