1277 lines
765 KiB
Plaintext
Vendored
1277 lines
765 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": "2025-10-03T09:49:28.626603Z",
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"start_time": "2025-10-03T09:49:28.450965Z"
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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": 1
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},
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{
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||
"metadata": {
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"ExecuteTime": {
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"end_time": "2025-10-03T09:49:28.637131Z",
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"start_time": "2025-10-03T09:49:28.633945Z"
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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": "2025-10-03T09:49:42.520725Z",
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"start_time": "2025-10-03T09:49:28.645041Z"
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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": "2025-10-03T09:49:49.680636Z",
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||
"start_time": "2025-10-03T09:49:48.608824Z"
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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",
|
||
" <th>50%</th>\n",
|
||
" <th>75%</th>\n",
|
||
" <th>max</th>\n",
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||
" </tr>\n",
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||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>id</th>\n",
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||
" <td>8069950.0</td>\n",
|
||
" <td>16.231662</td>\n",
|
||
" <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",
|
||
" <td>117146.0</td>\n",
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||
" <td>826262.0</td>\n",
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||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
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||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 4
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||
},
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||
{
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||
"metadata": {},
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||
"cell_type": "markdown",
|
||
"source": "## Regions",
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||
"id": "572574873e443bda"
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||
},
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||
{
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||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:49:50.186633Z",
|
||
"start_time": "2025-10-03T09:49:49.727757Z"
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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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||
],
|
||
"id": "e02c8023d43b3466",
|
||
"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",
|
||
" <th></th>\n",
|
||
" <th>Value</th>\n",
|
||
" <th>Count</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>bandundu</td>\n",
|
||
" <td>165090</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>bandundu-1</td>\n",
|
||
" <td>37755</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>bandundu-2</td>\n",
|
||
" <td>75006</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>bandundu-3</td>\n",
|
||
" <td>27907</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>bas-congo</td>\n",
|
||
" <td>45604</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>120</th>\n",
|
||
" <td>tshopo-1</td>\n",
|
||
" <td>49612</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>121</th>\n",
|
||
" <td>tshopo-2</td>\n",
|
||
" <td>23624</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>122</th>\n",
|
||
" <td>tshuapa</td>\n",
|
||
" <td>13717</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>123</th>\n",
|
||
" <td>tshuapa-1</td>\n",
|
||
" <td>8206</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>124</th>\n",
|
||
" <td>tshuapa-2</td>\n",
|
||
" <td>11220</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>125 rows × 2 columns</p>\n",
|
||
"</div>"
|
||
]
|
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},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 5
|
||
},
|
||
{
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||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "## Subregions by Parent Region",
|
||
"id": "2c6b460a94f3ca9d"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:49:50.879683Z",
|
||
"start_time": "2025-10-03T09:49:50.867657Z"
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||
}
|
||
},
|
||
"cell_type": "code",
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||
"source": [
|
||
"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",
|
||
" .size()\n",
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||
" .rename(columns={\"size\": \"count\"})\n",
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||
" )\n",
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||
"\n",
|
||
" out: Dict[str, pd.DataFrame] = {}\n",
|
||
" for parent, g in counts.groupby(\"parent\"):\n",
|
||
" g = g.sort_values([\"count\", \"subregion\"], ascending=[False, True])\n",
|
||
" out[parent] = g.reset_index(drop=True)\n",
|
||
" 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",
|
||
" \"\"\"\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",
|
||
" # Build subregion tables once\n",
|
||
" tables = build_subregion_tables(series, mapper)\n",
|
||
"\n",
|
||
" # Respect the explicit list of parents from RegionMapper\n",
|
||
" parents = [p.upper() for p in mapper.get_provinces()] # mapper.get_provinces() are lowercase\n",
|
||
" n = len(parents)\n",
|
||
" rows = math.ceil(n / per_row)\n",
|
||
"\n",
|
||
" # Make figure size scale with grid size\n",
|
||
" fig_w = 6 * per_row\n",
|
||
" fig_h = max(4.8 * rows, 3.5) # minimum height\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",
|
||
" # Draw each parent's subplot\n",
|
||
" for idx, parent in enumerate(parents):\n",
|
||
" r = idx // per_row\n",
|
||
" c = idx % 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",
|
||
" labels = [truncate_label(lbl, 15) for lbl in dfp[\"subregion\"]]\n",
|
||
"\n",
|
||
" # Horizontal bar chart: y=subregion, x=count (sorted by count desc already)\n",
|
||
" ax.barh(labels, dfp[\"count\"])\n",
|
||
" ax.set_title(parent)\n",
|
||
" ax.set_xlabel(\"Count\")\n",
|
||
" ax.set_ylabel(\"Subregion\")\n",
|
||
" ax.invert_yaxis() # largest at top\n",
|
||
" # Improve readability with many labels\n",
|
||
" for label in ax.get_yticklabels():\n",
|
||
" label.set_fontsize(8)\n",
|
||
"\n",
|
||
" # Turn off any leftover empty axes\n",
|
||
" total_axes = rows * per_row\n",
|
||
" for j in range(n, total_axes):\n",
|
||
" r = j // per_row\n",
|
||
" c = j % per_row\n",
|
||
" axes[r][c].set_axis_off()\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()"
|
||
],
|
||
"id": "8f8a9bb068152311",
|
||
"outputs": [],
|
||
"execution_count": 6
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:00.460640Z",
|
||
"start_time": "2025-10-03T09:49:51.239623Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "plot_all_parents_grid(df[\"region\"], RegionMapper(), per_row=3)",
|
||
"id": "4083480dfe1df962",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 1800x1920 with 12 Axes>"
|
||
],
|
||
"image/png": 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|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 7
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:02.908297Z",
|
||
"start_time": "2025-10-03T09:50:00.544028Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df['province'] = RegionMapper().map(df['region'])",
|
||
"id": "5242e5b15acb277c",
|
||
"outputs": [],
|
||
"execution_count": 8
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:03.004308Z",
|
||
"start_time": "2025-10-03T09:50:02.998149Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": "df.columns",
|
||
"id": "d3e3268c111c5c22",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Index(['id', 'name', 'sex', 'percentage', 'year', 'region', 'filename', 'line',\n",
|
||
" 'province'],\n",
|
||
" dtype='object')"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 9
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:03.423521Z",
|
||
"start_time": "2025-10-03T09:50:03.159435Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import math\n",
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import networkx as nx\n",
|
||
"from matplotlib.patches import Circle\n",
|
||
"\n",
|
||
"def _province_palette(provinces):\n",
|
||
" \"\"\"Map each province to a color using matplotlib's default cycle.\"\"\"\n",
|
||
" colors = plt.rcParams['axes.prop_cycle'].by_key().get('color', ['C0','C1','C2','C3','C4','C5','C6','C7','C8','C9'])\n",
|
||
" return {p: colors[i % len(colors)] for i, p in enumerate(sorted(provinces))}\n",
|
||
"\n",
|
||
"def plot_region_clusters_by_province(\n",
|
||
" df: pd.DataFrame,\n",
|
||
" year_col: str = \"year\",\n",
|
||
" region_col: str = \"region\",\n",
|
||
" province_col: str = \"province\",\n",
|
||
" figsize=(14, 9),\n",
|
||
" node_size_min: float = 30,\n",
|
||
" node_size_max: float = 600,\n",
|
||
" province_padding: float = 1.6, # spacing between province cluster centers\n",
|
||
" hull_alpha: float = 0.08, # alpha for province “enclosing” circles\n",
|
||
" label_regions: bool = True,\n",
|
||
" label_max_chars: int = 18,\n",
|
||
" random_seed: int = 42,\n",
|
||
"):\n",
|
||
" \"\"\"\n",
|
||
" Visualize how regions cluster inside provinces.\n",
|
||
" - One node per region, grouped by its province.\n",
|
||
" - Node size ~ count of (province, region) across all years.\n",
|
||
" - Node color = province; legend shows province colors.\n",
|
||
" \"\"\"\n",
|
||
" # --- Prepare aggregated weights per (province, region) ---\n",
|
||
" dfx = df[[year_col, region_col, province_col]].dropna().copy()\n",
|
||
" dfx[province_col] = dfx[province_col].astype(str).str.strip()\n",
|
||
" dfx[region_col] = dfx[region_col].astype(str).str.strip()\n",
|
||
" agg = (\n",
|
||
" dfx.groupby([province_col, region_col], as_index=False)\n",
|
||
" .size()\n",
|
||
" .rename(columns={\"size\": \"count\"})\n",
|
||
" )\n",
|
||
"\n",
|
||
" if agg.empty:\n",
|
||
" raise ValueError(\"No data after cleaning; check inputs.\")\n",
|
||
"\n",
|
||
" provinces = sorted(agg[province_col].unique())\n",
|
||
" color_map = _province_palette(provinces)\n",
|
||
"\n",
|
||
" # Scale node sizes from counts\n",
|
||
" cmin, cmax = agg[\"count\"].min(), agg[\"count\"].max()\n",
|
||
" if cmax == cmin:\n",
|
||
" sizes = np.full(len(agg), (node_size_min + node_size_max) / 2.0)\n",
|
||
" else:\n",
|
||
" sizes = node_size_min + (agg[\"count\"] - cmin) * (node_size_max - node_size_min) / (cmax - cmin)\n",
|
||
" agg[\"_size\"] = sizes\n",
|
||
"\n",
|
||
" # --- Lay out provinces on a grid; do a small spring layout per province around its center ---\n",
|
||
" rng = np.random.default_rng(random_seed)\n",
|
||
"\n",
|
||
" # Choose grid dimensions close to square\n",
|
||
" nP = len(provinces)\n",
|
||
" ncols = math.ceil(math.sqrt(nP))\n",
|
||
" nrows = math.ceil(nP / ncols)\n",
|
||
"\n",
|
||
" # Province centers on grid\n",
|
||
" centers = {}\n",
|
||
" for idx, p in enumerate(provinces):\n",
|
||
" r, c = divmod(idx, ncols)\n",
|
||
" centers[p] = (c * province_padding, -r * province_padding) # y negative to go \"down\"\n",
|
||
"\n",
|
||
" # Build positions\n",
|
||
" pos = {} # (province, region) -> (x,y)\n",
|
||
" hull_radii = {} # province -> radius used for background circle\n",
|
||
"\n",
|
||
" for p in provinces:\n",
|
||
" sub = agg[agg[province_col] == p].reset_index(drop=True)\n",
|
||
" center = np.array(centers[p], dtype=float)\n",
|
||
"\n",
|
||
" # Make a tiny graph with one hub (province) pulling region nodes inward\n",
|
||
" G = nx.Graph()\n",
|
||
" hub = f\"__hub__::{p}\"\n",
|
||
" G.add_node(hub)\n",
|
||
"\n",
|
||
" for i, row in sub.iterrows():\n",
|
||
" node = (p, row[region_col])\n",
|
||
" G.add_node(node)\n",
|
||
" # connect to hub with weight inversely related to count (heavier count -> shorter spring)\n",
|
||
" # spring_layout interprets 'weight' so larger weight pulls nodes closer\n",
|
||
" w = float(row[\"count\"])\n",
|
||
" G.add_edge(hub, node, weight=max(1.0, w))\n",
|
||
"\n",
|
||
" # Initial positions: jitter around center\n",
|
||
" init_pos = {hub: center}\n",
|
||
" for node in G.nodes:\n",
|
||
" if node == hub:\n",
|
||
" continue\n",
|
||
" init_pos[node] = center + rng.normal(scale=0.15, size=2)\n",
|
||
"\n",
|
||
" # Small local layout\n",
|
||
" # Note: spring_layout is deterministic with seed\n",
|
||
" ploc = nx.spring_layout(G, k=0.25, iterations=60, weight='weight', seed=random_seed, pos=init_pos, fixed=[hub])\n",
|
||
"\n",
|
||
" # Save region node positions; track cluster radius\n",
|
||
" pts = []\n",
|
||
" for node in G.nodes:\n",
|
||
" if node == hub:\n",
|
||
" continue\n",
|
||
" pos[node] = ploc[node]\n",
|
||
" pts.append(ploc[node])\n",
|
||
"\n",
|
||
" if pts:\n",
|
||
" pts = np.vstack(pts)\n",
|
||
" # radius ~ 1.2 * std distance to center, with minimum\n",
|
||
" d = np.linalg.norm(pts - center, axis=1)\n",
|
||
" hull_radii[p] = max(0.35, 1.2 * (np.median(d) if len(d) > 4 else d.mean()))\n",
|
||
" else:\n",
|
||
" hull_radii[p] = 0.4\n",
|
||
"\n",
|
||
" # --- Plot ---\n",
|
||
" fig, ax = plt.subplots(figsize=figsize)\n",
|
||
"\n",
|
||
" # Province hulls (soft circles)\n",
|
||
" for p in provinces:\n",
|
||
" cx, cy = centers[p]\n",
|
||
" circ = Circle((cx, cy), radius=hull_radii[p], facecolor=color_map[p], edgecolor=\"none\", alpha=hull_alpha)\n",
|
||
" ax.add_patch(circ)\n",
|
||
"\n",
|
||
" # Region nodes\n",
|
||
" handles = []\n",
|
||
" labels = []\n",
|
||
" for p in provinces:\n",
|
||
" sub = agg[agg[province_col] == p]\n",
|
||
" xs, ys, ss = [], [], []\n",
|
||
" for _, row in sub.iterrows():\n",
|
||
" node = (p, row[region_col])\n",
|
||
" x, y = pos[node]\n",
|
||
" xs.append(x); ys.append(y); ss.append(row[\"_size\"])\n",
|
||
" sc = ax.scatter(xs, ys, s=ss, alpha=0.85, edgecolors=\"none\", label=p, color=color_map[p])\n",
|
||
" handles.append(sc)\n",
|
||
" labels.append(p)\n",
|
||
"\n",
|
||
" # Labels (optional)\n",
|
||
" if label_regions:\n",
|
||
" for _, row in sub.iterrows():\n",
|
||
" node = (p, row[region_col])\n",
|
||
" x, y = pos[node]\n",
|
||
" name = row[region_col]\n",
|
||
" if len(name) > label_max_chars:\n",
|
||
" name = name[:label_max_chars-1] + \"…\"\n",
|
||
" ax.text(x, y, name, fontsize=7, ha=\"center\", va=\"center\")\n",
|
||
"\n",
|
||
" # Axes aesthetics\n",
|
||
" ax.set_aspect('equal', adjustable='datalim')\n",
|
||
" ax.set_xticks([])\n",
|
||
" ax.set_yticks([])\n",
|
||
" ax.set_xlabel(\"\")\n",
|
||
" ax.set_ylabel(\"\")\n",
|
||
" ax.set_title(\"Regions clustered within Provinces (node size = frequency across years)\")\n",
|
||
"\n",
|
||
" # Province legend\n",
|
||
" ncols = 4 if len(labels) > 10 else 2\n",
|
||
" ax.legend(handles, labels, title=\"Province\", loc=\"upper right\", bbox_to_anchor=(1.0, 1.0), ncol=ncols)\n",
|
||
"\n",
|
||
" # Expand limits to fit hulls nicely\n",
|
||
" xs, ys = zip(*centers.values())\n",
|
||
" ax.set_xlim(min(xs) - province_padding, max(xs) + province_padding)\n",
|
||
" ax.set_ylim(min(ys) - province_padding, max(ys) + province_padding)\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n"
|
||
],
|
||
"id": "4d673e975665827f",
|
||
"outputs": [],
|
||
"execution_count": 10
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:58:09.712122Z",
|
||
"start_time": "2025-10-03T09:58:09.686613Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import math\n",
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import networkx as nx\n",
|
||
"from matplotlib.patches import Circle\n",
|
||
"import matplotlib.patheffects as path_effects\n",
|
||
"\n",
|
||
"def _province_palette(provinces):\n",
|
||
" colors = plt.rcParams['axes.prop_cycle'].by_key().get('color', ['C0','C1','C2','C3','C4','C5','C6','C7','C8','C9'])\n",
|
||
" return {p: colors[i % len(colors)] for i, p in enumerate(sorted(provinces))}\n",
|
||
"\n",
|
||
"def _separate_points(points, radii, iters=60, step=0.02):\n",
|
||
" \"\"\"\n",
|
||
" Simple collision-avoidance: iteratively push circles (points with radii)\n",
|
||
" apart until overlaps are (mostly) gone.\n",
|
||
" points: (N,2) array; radii: (N,) array in same coordinate units\n",
|
||
" \"\"\"\n",
|
||
" P = points.copy().astype(float)\n",
|
||
" R = radii.astype(float)\n",
|
||
" N = len(P)\n",
|
||
" for _ in range(iters):\n",
|
||
" moved = 0.0\n",
|
||
" for i in range(N):\n",
|
||
" for j in range(i+1, N):\n",
|
||
" d = P[j] - P[i]\n",
|
||
" dist = np.hypot(d[0], d[1])\n",
|
||
" min_d = R[i] + R[j]\n",
|
||
" if dist < 1e-6:\n",
|
||
" # tiny random kick to avoid division by zero\n",
|
||
" d = np.random.default_rng().normal(scale=1e-3, size=2)\n",
|
||
" dist = np.hypot(d[0], d[1])\n",
|
||
" if dist < min_d:\n",
|
||
" # push each point away from the other\n",
|
||
" push = (min_d - dist) / 2.0\n",
|
||
" delta = (d / dist) * (push + 1e-3)\n",
|
||
" P[i] -= delta * step\n",
|
||
" P[j] += delta * step\n",
|
||
" moved += push\n",
|
||
" if moved < 1e-3:\n",
|
||
" break\n",
|
||
" return P\n",
|
||
"\n",
|
||
"def plot_region_clusters_by_province_readable(\n",
|
||
" df: pd.DataFrame,\n",
|
||
" year_col: str = \"year\",\n",
|
||
" region_col: str = \"region\",\n",
|
||
" province_col: str = \"province\",\n",
|
||
" figsize=(18, 11),\n",
|
||
" node_size_min: float = 60,\n",
|
||
" node_size_max: float = 1100,\n",
|
||
" label_top_k: int = 12, # show labels only for the top-K regions per province\n",
|
||
" min_count_for_dot: int = 1, # drop ultra-rare regions if needed (e.g., 2 or 3)\n",
|
||
" base_padding: float = 1.6, # base spacing; will be auto-scaled per province\n",
|
||
" hull_alpha: float = 0.10,\n",
|
||
" random_seed: int = 42,\n",
|
||
"):\n",
|
||
" \"\"\"\n",
|
||
" Readable 'regions clustered within provinces' visualization.\n",
|
||
"\n",
|
||
" - Dots: one per (province, region), size ~ total count across years.\n",
|
||
" - Color: province.\n",
|
||
" - Labels: top-K per province only, with white halo for contrast.\n",
|
||
" - Collision-avoidance keeps dots separate and text readable.\n",
|
||
" - Province spacing grows with number of regions in the province.\n",
|
||
" \"\"\"\n",
|
||
" # --- aggregate ---\n",
|
||
" dfx = df[[year_col, region_col, province_col]].dropna().copy()\n",
|
||
" dfx[province_col] = dfx[province_col].astype(str).str.strip()\n",
|
||
" dfx[region_col] = dfx[region_col].astype(str).str.strip()\n",
|
||
"\n",
|
||
" agg = (\n",
|
||
" dfx.groupby([province_col, region_col], as_index=False)\n",
|
||
" .size()\n",
|
||
" .rename(columns={\"size\": \"count\"})\n",
|
||
" )\n",
|
||
" if min_count_for_dot > 1:\n",
|
||
" agg = agg.loc[agg[\"count\"] >= min_count_for_dot]\n",
|
||
"\n",
|
||
" if agg.empty:\n",
|
||
" raise ValueError(\"No data after filtering; relax thresholds.\")\n",
|
||
"\n",
|
||
" provinces = sorted(agg[province_col].unique())\n",
|
||
" color_map = _province_palette(provinces)\n",
|
||
"\n",
|
||
" # sizes scaled per global min/max\n",
|
||
" cmin, cmax = agg[\"count\"].min(), agg[\"count\"].max()\n",
|
||
" if cmax == cmin:\n",
|
||
" agg[\"_size\"] = (node_size_min + node_size_max) / 2.0\n",
|
||
" else:\n",
|
||
" agg[\"_size\"] = node_size_min + (agg[\"count\"] - cmin) * (node_size_max - node_size_min) / (cmax - cmin)\n",
|
||
"\n",
|
||
" # radius used for collision (approximate pixel-independent unit)\n",
|
||
" # convert marker size (points^2) into a rough radius in data coords by picking a scale;\n",
|
||
" # since our layout is arbitrary units, a simple proportional mapping works:\n",
|
||
" agg[\"_radius\"] = np.sqrt(agg[\"_size\"]) * 0.02\n",
|
||
"\n",
|
||
" # --- province centers on grid with adaptive spacing ---\n",
|
||
" # provinces with many regions need more room\n",
|
||
" counts_per_prov = agg.groupby(province_col)[\"region\"].count().reindex(provinces, fill_value=1)\n",
|
||
" scale_per_prov = (counts_per_prov / counts_per_prov.median()).clip(0.8, 2.0).to_dict()\n",
|
||
"\n",
|
||
" nP = len(provinces)\n",
|
||
" ncols = math.ceil(math.sqrt(nP))\n",
|
||
" nrows = math.ceil(nP / ncols)\n",
|
||
"\n",
|
||
" centers = {}\n",
|
||
" for idx, p in enumerate(provinces):\n",
|
||
" r, c = divmod(idx, ncols)\n",
|
||
" pad = base_padding * scale_per_prov[p]\n",
|
||
" centers[p] = (c * pad, -r * pad)\n",
|
||
"\n",
|
||
" rng = np.random.default_rng(random_seed)\n",
|
||
" pos = {}\n",
|
||
" hull_radii = {}\n",
|
||
"\n",
|
||
" # --- per-province local layout + collision-avoidance ---\n",
|
||
" for p in provinces:\n",
|
||
" sub = agg[agg[province_col] == p].reset_index(drop=True)\n",
|
||
" center = np.array(centers[p], dtype=float)\n",
|
||
"\n",
|
||
" # start with small random jitter around center\n",
|
||
" pts = center + rng.normal(scale=0.1, size=(len(sub), 2))\n",
|
||
" pts = _separate_points(pts, sub[\"_radius\"].to_numpy(), iters=80, step=0.8)\n",
|
||
"\n",
|
||
" # optional spring-like pull to center to keep bunch tight\n",
|
||
" pts = center + 0.85 * (pts - center)\n",
|
||
"\n",
|
||
" for (x, y), (_, row) in zip(pts, sub.iterrows()):\n",
|
||
" pos[(p, row[region_col])] = (float(x), float(y))\n",
|
||
"\n",
|
||
" # cluster hull radius based on spread\n",
|
||
" d = np.linalg.norm(pts - center, axis=1)\n",
|
||
" hull_radii[p] = max(0.35, 1.25 * (np.median(d) if len(d) > 4 else d.mean()))\n",
|
||
"\n",
|
||
" # --- draw ---\n",
|
||
" fig, ax = plt.subplots(figsize=figsize)\n",
|
||
"\n",
|
||
" # soft province circles\n",
|
||
" for p in provinces:\n",
|
||
" cx, cy = centers[p]\n",
|
||
" circ = Circle((cx, cy), radius=hull_radii[p], facecolor=color_map[p], edgecolor=\"none\", alpha=hull_alpha)\n",
|
||
" ax.add_patch(circ)\n",
|
||
"\n",
|
||
" # dots + labels (top-K)\n",
|
||
" handles, labels = [], []\n",
|
||
" for p in provinces:\n",
|
||
" sub = agg[agg[province_col] == p].sort_values(\"count\", ascending=False).reset_index(drop=True)\n",
|
||
" xs, ys, ss = [], [], []\n",
|
||
" for _, row in sub.iterrows():\n",
|
||
" x, y = pos[(p, row[region_col])]\n",
|
||
" xs.append(x); ys.append(y); ss.append(row[\"_size\"])\n",
|
||
" sc = ax.scatter(xs, ys, s=ss, alpha=0.9, edgecolors=\"none\", label=p, color=color_map[p])\n",
|
||
" handles.append(sc); labels.append(p)\n",
|
||
"\n",
|
||
" # labels only for top-K\n",
|
||
" top = sub.head(label_top_k)\n",
|
||
" for _, row in top.iterrows():\n",
|
||
" x, y = pos[(p, row[region_col])]\n",
|
||
" txt = row[region_col]\n",
|
||
" if len(txt) > 18:\n",
|
||
" txt = txt[:17] + \"…\"\n",
|
||
" t = ax.text(x, y, txt, fontsize=8, ha=\"center\", va=\"center\", color=\"black\")\n",
|
||
" # white halo for contrast\n",
|
||
" t.set_path_effects([path_effects.Stroke(linewidth=2.5, foreground=\"white\"),\n",
|
||
" path_effects.Normal()])\n",
|
||
"\n",
|
||
" # legend, axes, limits\n",
|
||
" ax.legend(handles, labels, title=\"Province\", loc=\"upper left\", ncol=3)\n",
|
||
"\n",
|
||
" ax.set_aspect(\"equal\", adjustable=\"datalim\")\n",
|
||
" ax.set_xticks([]); ax.set_yticks([])\n",
|
||
" ax.set_xlabel(\"\"); ax.set_ylabel(\"\")\n",
|
||
"\n",
|
||
" xs, ys = zip(*[centers[p] for p in provinces])\n",
|
||
" pad = max(base_padding, 1.2)\n",
|
||
" ax.set_xlim(min(xs) - pad, max(xs) + pad)\n",
|
||
" #ax.set_ylim(min(ys) - pad, max(ys) + pad)\n",
|
||
"\n",
|
||
" plt.savefig(\"../assets/regions-clusters-readable.png\")\n",
|
||
" plt.show()\n"
|
||
],
|
||
"id": "595487c63277e585",
|
||
"outputs": [],
|
||
"execution_count": 33
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:58:17.182810Z",
|
||
"start_time": "2025-10-03T09:58:10.971477Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"plot_region_clusters_by_province_readable(\n",
|
||
" df,\n",
|
||
" label_top_k=5,\n",
|
||
" min_count_for_dot=2,\n",
|
||
" base_padding=0.5,\n",
|
||
" figsize=(22, 14)\n",
|
||
")"
|
||
],
|
||
"id": "20e16282a8eebc97",
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"WARNING:matplotlib.axes._base:Ignoring fixed x limits to fulfill fixed data aspect with adjustable data limits.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 2200x1400 with 1 Axes>"
|
||
],
|
||
"image/png": 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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 34
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "# Year",
|
||
"id": "530d424405c49287"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:35.543474Z",
|
||
"start_time": "2025-10-03T09:50:35.484794Z"
|
||
}
|
||
},
|
||
"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": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 19
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:35.915484Z",
|
||
"start_time": "2025-10-03T09:50:35.621736Z"
|
||
}
|
||
},
|
||
"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>"
|
||
],
|
||
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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
|
||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 20
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:36.020895Z",
|
||
"start_time": "2025-10-03T09:50:36.004598Z"
|
||
}
|
||
},
|
||
"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": 21
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-10-03T09:50:45.775083Z",
|
||
"start_time": "2025-10-03T09:50:36.076073Z"
|
||
}
|
||
},
|
||
"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>"
|
||
],
|
||
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||
},
|
||
"metadata": {},
|
||
"output_type": "display_data",
|
||
"jetTransient": {
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||
"display_id": null
|
||
}
|
||
}
|
||
],
|
||
"execution_count": 22
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
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||
"display_name": "Python 3",
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||
"language": "python",
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||
"name": "python3"
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},
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"language_info": {
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||
"codemirror_mode": {
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||
"name": "ipython",
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"version": 2
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||
},
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||
"file_extension": ".py",
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||
"mimetype": "text/x-python",
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||
"name": "python",
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||
"nbconvert_exporter": "python",
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||
"pygments_lexer": "ipython2",
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||
"version": "2.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
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