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data/notebooks/Lab/0_6_test_h3ronpy_fg.ipynb

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "!pip install --quiet --no-cache-dir h3ronpy"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "source": [
    "import h3\n",
    "from h3ronpy import raster\n",
    "import rasterio as rio\n",
    "import rasterio.plot\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from rasterstats import gen_zonal_stats, gen_point_query\n",
    "from rasterstats import zonal_stats\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import h3\n",
    "import json\n",
    "import os\n",
    "from shapely.geometry import shape, mapping, box, Point, LinearRing, Polygon\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "test_raster = '../../data/raw/crop_data/default_pasture/CroplandPastureArea2000_Geotiff/Pasture2000_5m.tif'\n",
    "\n",
    "test_area = (-10,40,0,50)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "with rio.open(test_raster) as src:\n",
    "    window = rio.windows.from_bounds(*test_area, src.transform)\n",
    "    transform = rio.windows.transform(window, src.transform)\n",
    "    print(src.profile)\n",
    "    rio.plot.show(src.read(window=window, masked=True))\n",
    "    gdf = raster.raster_to_geodataframe(src.read(1, window=window), transform, h3_resolution=4, nodata_value=src.profile['nodata'], compacted=False)\n",
    "\n",
    "gdf.plot('value')\n",
    "#gdf['h3index'] = gdf['h3index'].apply(hex)\n",
    "gdf.head()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "{'driver': 'GTiff', 'dtype': 'float32', 'nodata': -3.402823e+38, 'width': 4320, 'height': 2160, 'count': 1, 'crs': CRS.from_epsg(4326), 'transform': Affine(0.0833333333333286, 0.0, -180.0,\n",
      "       0.0, -0.0833333333333286, 89.99999999998977), 'blockxsize': 128, 'blockysize': 128, 'tiled': True, 'interleave': 'band'}\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "              h3index     value  \\\n",
       "0  595480473807880191  0.090241   \n",
       "1  595481126642909183  0.229099   \n",
       "2  595480774455590911  0.339002   \n",
       "3  595480963434151935  0.011052   \n",
       "4  595485885466673151  0.344788   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-8.18582 43.32105, -8.48380 43.22372...  \n",
       "1  POLYGON ((-6.36596 42.03914, -6.65737 41.94526...  \n",
       "2  POLYGON ((-2.66216 42.69643, -2.95213 42.61422...  \n",
       "3  POLYGON ((-5.16229 42.64607, -5.45505 42.55655...  \n",
       "4  POLYGON ((-1.59934 42.54400, -1.88714 42.46461...  "
      ],
      "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>h3index</th>\n",
       "      <th>value</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>595480473807880191</td>\n",
       "      <td>0.090241</td>\n",
       "      <td>POLYGON ((-8.18582 43.32105, -8.48380 43.22372...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>595481126642909183</td>\n",
       "      <td>0.229099</td>\n",
       "      <td>POLYGON ((-6.36596 42.03914, -6.65737 41.94526...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>595480774455590911</td>\n",
       "      <td>0.339002</td>\n",
       "      <td>POLYGON ((-2.66216 42.69643, -2.95213 42.61422...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>595480963434151935</td>\n",
       "      <td>0.011052</td>\n",
       "      <td>POLYGON ((-5.16229 42.64607, -5.45505 42.55655...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>595485885466673151</td>\n",
       "      <td>0.344788</td>\n",
       "      <td>POLYGON ((-1.59934 42.54400, -1.88714 42.46461...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 5
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "geom = box(*test_area)\n",
    "idx = [h for h in h3.polyfill(mapping(geom), 4, geo_json_conformant=True)]\n",
    "pts = [Point(h3.h3_to_geo(h)[::-1]) for h in idx]\n",
    "idx_int = [int(h, 16) for h in idx]\n",
    "geoms = h3.h3_set_to_multi_polygon(idx, geo_json=True)\n",
    "\n",
    "df = pd.DataFrame({'h3index':idx_int, 'value':gen_point_query(pts, test_raster, interpolate='nearest')})\n",
    "df = df.dropna()\n",
    "df.plot('value')\n",
    "df.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "              h3index     value\n",
       "0  595484974933606399  0.090976\n",
       "3  595480800225394687  0.180818\n",
       "6  594904226635710463  0.066184\n",
       "7  595480774455590911  0.339002\n",
       "8  594902405569576959  0.138503"
      ],
      "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>h3index</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>595484974933606399</td>\n",
       "      <td>0.090976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>595480800225394687</td>\n",
       "      <td>0.180818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>594904226635710463</td>\n",
       "      <td>0.066184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>595480774455590911</td>\n",
       "      <td>0.339002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>594902405569576959</td>\n",
       "      <td>0.138503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 6
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "j = gdf.set_index('h3index').join(df.set_index('h3index'), rsuffix='t')\n",
    "j"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                       value  \\\n",
       "h3index                        \n",
       "595480473807880191  0.090241   \n",
       "595481126642909183  0.229099   \n",
       "595480774455590911  0.339002   \n",
       "595480963434151935  0.011052   \n",
       "595485885466673151  0.344788   \n",
       "...                      ...   \n",
       "594902543008530431  0.123677   \n",
       "595480198929973247  0.076786   \n",
       "594902671857549311  0.032122   \n",
       "595485833927065599  0.057153   \n",
       "595480989203955711  0.363486   \n",
       "\n",
       "                                                             geometry  \\\n",
       "h3index                                                                 \n",
       "595480473807880191  POLYGON ((-8.18582 43.32105, -8.48380 43.22372...   \n",
       "595481126642909183  POLYGON ((-6.36596 42.03914, -6.65737 41.94526...   \n",
       "595480774455590911  POLYGON ((-2.66216 42.69643, -2.95213 42.61422...   \n",
       "595480963434151935  POLYGON ((-5.16229 42.64607, -5.45505 42.55655...   \n",
       "595485885466673151  POLYGON ((-1.59934 42.54400, -1.88714 42.46461...   \n",
       "...                                                               ...   \n",
       "594902543008530431  POLYGON ((-3.06825 43.48261, -3.36206 43.40047...   \n",
       "595480198929973247  POLYGON ((-7.14827 42.48653, -7.44212 42.39102...   \n",
       "594902671857549311  POLYGON ((-0.42802 44.17761, -0.72084 44.10430...   \n",
       "595485833927065599  POLYGON ((-0.16326 40.49783, -0.44058 40.41929...   \n",
       "595480989203955711  POLYGON ((-5.93660 43.10027, -6.23199 43.00918...   \n",
       "\n",
       "                      valuet  \n",
       "h3index                       \n",
       "595480473807880191  0.090241  \n",
       "595481126642909183  0.229099  \n",
       "595480774455590911  0.339002  \n",
       "595480963434151935  0.011052  \n",
       "595485885466673151  0.344788  \n",
       "...                      ...  \n",
       "594902543008530431  0.123677  \n",
       "595480198929973247  0.076786  \n",
       "594902671857549311  0.032122  \n",
       "595485833927065599  0.057153  \n",
       "595480989203955711  0.363486  \n",
       "\n",
       "[214 rows x 3 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "      <th>geometry</th>\n",
       "      <th>valuet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>h3index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>595480473807880191</th>\n",
       "      <td>0.090241</td>\n",
       "      <td>POLYGON ((-8.18582 43.32105, -8.48380 43.22372...</td>\n",
       "      <td>0.090241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595481126642909183</th>\n",
       "      <td>0.229099</td>\n",
       "      <td>POLYGON ((-6.36596 42.03914, -6.65737 41.94526...</td>\n",
       "      <td>0.229099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595480774455590911</th>\n",
       "      <td>0.339002</td>\n",
       "      <td>POLYGON ((-2.66216 42.69643, -2.95213 42.61422...</td>\n",
       "      <td>0.339002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595480963434151935</th>\n",
       "      <td>0.011052</td>\n",
       "      <td>POLYGON ((-5.16229 42.64607, -5.45505 42.55655...</td>\n",
       "      <td>0.011052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595485885466673151</th>\n",
       "      <td>0.344788</td>\n",
       "      <td>POLYGON ((-1.59934 42.54400, -1.88714 42.46461...</td>\n",
       "      <td>0.344788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>594902543008530431</th>\n",
       "      <td>0.123677</td>\n",
       "      <td>POLYGON ((-3.06825 43.48261, -3.36206 43.40047...</td>\n",
       "      <td>0.123677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595480198929973247</th>\n",
       "      <td>0.076786</td>\n",
       "      <td>POLYGON ((-7.14827 42.48653, -7.44212 42.39102...</td>\n",
       "      <td>0.076786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>594902671857549311</th>\n",
       "      <td>0.032122</td>\n",
       "      <td>POLYGON ((-0.42802 44.17761, -0.72084 44.10430...</td>\n",
       "      <td>0.032122</td>\n",
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       "    <tr>\n",
       "      <th>595485833927065599</th>\n",
       "      <td>0.057153</td>\n",
       "      <td>POLYGON ((-0.16326 40.49783, -0.44058 40.41929...</td>\n",
       "      <td>0.057153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595480989203955711</th>\n",
       "      <td>0.363486</td>\n",
       "      <td>POLYGON ((-5.93660 43.10027, -6.23199 43.00918...</td>\n",
       "      <td>0.363486</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>214 rows × 3 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "source": [
    "%%timeit\n",
    "pd.DataFrame({'h3index':idx_int, 'value':gen_point_query(pts, test_raster, interpolate='nearest')})"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "2.98 s ± 122 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "source": [
    "%%timeit\n",
    "with rio.open(test_raster) as src:\n",
    "    raster.to_dataframe(src.read(1, window=window), transform, h3_resolution=4, nodata_value=src.profile['nodata'], compacted=False)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "8.04 ms ± 340 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "dfs = []\n",
    "with rio.open(test_raster) as src:\n",
    "    for ji, window in src.block_windows():\n",
    "        transform = rio.windows.transform(window, src.transform)\n",
    "        arr = src.read(1, window=window)\n",
    "        \n",
    "        df = h3ronpy.raster.raster_to_geodataframe(arr, transform, 4, nodata_value=src.profile['nodata'], compacted=False)\n",
    "        dfs.append(df)\n",
    "\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "source": [
    "l = [i for df in dfs for i in df['h3index']]\n",
    "print(len(l))\n",
    "print(len(set(l)))"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "72314\n",
      "72314\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "source": [
    "pd.concat(dfs).plot('value')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 150
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "source": [
    "from math import ceil\n",
    "BLOCKSIZE = 512\n",
    "def gen_raster_h3(raster_list, h3_res):\n",
    "    \"\"\"Convert a list of identically formatted rasters to H3\n",
    "    \n",
    "    A function for efficiently turning a set of rasters into an H3 table.\n",
    "    \n",
    "    Takes a list of 1-band rasters with identical projection/transform.\n",
    "    Reads each raster in blocks, and converts to h3 (nearest to centroid).\n",
    "    Yields a dataframe with an h3index and one column for each raster's value.\n",
    "\n",
    "    Args:\n",
    "        raster_list: list of paths to rasters\n",
    "        h3_res: h3 resolution to use for resampling\n",
    "    \n",
    "    Yields:\n",
    "        A Pandas dataframe for each raster block (usu. 512x512) with an \n",
    "        h3index and one column for each raster's value.\n",
    "    \"\"\"\n",
    "    readers = [rio.open(r) for r in raster_list]\n",
    "    names = [os.path.splitext(os.path.basename(r))[0].lower() for r in raster_list]\n",
    "    \n",
    "    base = readers[0]\n",
    "    for j in range(ceil(base.height/BLOCKSIZE)):\n",
    "        for i in range(ceil(base.width/BLOCKSIZE)):\n",
    "            window = rio.windows.Window(i*BLOCKSIZE, j*BLOCKSIZE, BLOCKSIZE, BLOCKSIZE)\n",
    "            w_transform = rio.windows.transform(window, base.transform)\n",
    "            dfs = []\n",
    "            for src in readers:\n",
    "                if src.transform != base.transform:\n",
    "                    raise ValueError(\"Transforms do not match\")\n",
    "                arr = src.read(1, window=window)\n",
    "                _df = raster.raster_to_dataframe(arr, w_transform, h3_res, nodata_value=src.profile['nodata'], compacted=False)\n",
    "                dfs.append(_df.set_index('h3index')['value'])\n",
    "            df = pd.concat(dfs, axis=1)\n",
    "            print(f'Reading block {j}, {i}: h3index count {len(df)}')\n",
    "            if len(df):\n",
    "                df.columns = names\n",
    "                # cast h3index from int64 to hex string\n",
    "                yield df\n",
    "    for src in readers:\n",
    "        src.close()\n",
    "\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "source": [
    "test_list = [\n",
    "    '../../data/raw/crop_data/default_pasture/CroplandPastureArea2000_Geotiff/Pasture2000_5m.tif',\n",
    "    '../../data/raw/crop_data/default_pasture/CroplandPastureArea2000_Geotiff/Cropland2000_5m.tif'\n",
    "]\n",
    "test_dir = '../../data/seed/mapspam/spam2017v2r1_ssa_prod'\n",
    "test_list2 = [os.path.join(test_dir, f) for f in os.listdir(test_dir)]\n",
    "\n",
    "h3grid = pd.concat(list(gen_raster_h3(test_list2, 4)))\n",
    "h3grid = gpd.GeoDataFrame(h3grid, geometry=[Polygon(h3.h3_to_geo_boundary(h, geo_json=True)) for h in h3grid.index])\n",
    "h3grid.plot()"
   ],
   "outputs": [
    {
     "output_type": "error",
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '../../seed/mapspam/spam2017v2r1_ssa_prod'",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-32-c1440e71ec33>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m ]\n\u001b[1;32m      5\u001b[0m \u001b[0mtest_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'../../seed/mapspam/spam2017v2r1_ssa_prod'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mtest_list2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mf\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mh3grid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgen_raster_h3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_list2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../seed/mapspam/spam2017v2r1_ssa_prod'"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
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