{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "revised-status",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "exceptional-momentum",
   "metadata": {},
   "outputs": [],
   "source": [
    "reg_file = 'zip://l0_regions/00_rgi70_regions.zip/00_rgi70_regions/00_rgi70_O1Regions.shp'\n",
    "reg_f = gpd.read_file(reg_file)\n",
    "# We drop the second alaska box which is useless\n",
    "reg_f = reg_f.drop(1)\n",
    "reg_f.plot(alpha=0.5, edgecolor='k');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "exact-ridge",
   "metadata": {},
   "outputs": [],
   "source": [
    "reg = 14\n",
    "idir = 'l2_sel_reg'\n",
    "\n",
    "fp = f'{idir}/RGI{reg:02d}/RGI{reg:02d}.shp'\n",
    "print(fp)\n",
    "print('Reading...')\n",
    "shp = gpd.read_file(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "material-shaft",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the representative points\n",
    "rp = shp.representative_point()\n",
    "\n",
    "# Make a dataframe out of it and add the original index to recover it later\n",
    "rp = rp.to_frame('geometry')\n",
    "rp['orig_index'] = shp.index\n",
    "\n",
    "# Make the overlay\n",
    "# The output are the points in rp which are intersecting with the correct region in the file\n",
    "intersect = gpd.overlay(rp, reg_f.loc[reg_f.RGI_CODE == f'{reg:02d}'], how='intersection')\n",
    "    \n",
    "# Now select the points in the original shape which intersect\n",
    "odf = shp.loc[intersect['orig_index']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "recorded-diagnosis",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test: since here we are re-doing something I did already, the selected output should be the same as before\n",
    "assert len(odf) == len(shp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "central-citizenship",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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