try-lonboard

try-lonboard.ipynb

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   "source": [
    "from lonboard import viz\n",
    "import geopandas as gpd"
   ]
  },
  {
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   "id": "e994a48b-4102-4fcd-9873-4bf0417ad7f0",
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   "source": [
    "gdf = gpd.read_file('/Users/emiletenezakis/devseed/tri_seasonal_s1_sar_composites/example_item.json', lines=True)\n"
   ]
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   "id": "a6a777b1-f6de-4ebf-94f8-e93b218f8c81",
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   "source": [
    "gdf_subset = gdf[['geometry']]"
   ]
  },
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   "execution_count": 4,
   "id": "968ec1bb-91db-4eec-91b1-791c2f233ced",
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     "data": {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POLYGON ((22.08242 49.27447, 21.79142 49.46630...</td>\n",
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       "                                            geometry\n",
       "0  POLYGON ((22.08242 49.27447, 21.79142 49.46630..."
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    "gdf_subset"
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "afa3b304",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "from lonboard import Map, SolidPolygonLayer\n",
    "\n",
    "# A GeoDataFrame with Polygon geometries\n",
    "layer = SolidPolygonLayer.from_geopandas(\n",
    "    gdf_subset,\n",
    ")\n",
    "map_ = Map(layers=[layer])"
   ]
  },
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       "Map(layers=[SolidPolygonLayer(table=pyarrow.Table\n",
       "geometry: list<item: list<item: fixed_size_list<item: double…"
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     },
     "execution_count": 6,
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   ],
   "source": [
    "map_"
   ]
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