|
366 | 366 | "source": [
|
367 | 367 | "dc_map = gis.map('Washington DC')\n",
|
368 | 368 | "\n",
|
369 |
| - "dc_map.draw(dc_df.iloc[0].SHAPE)\n", |
370 |
| - "dc_map.draw(dc_df.spatial.bbox)\n", |
| 369 | + "dc_map.content.draw(dc_df.iloc[0].SHAPE)\n", |
| 370 | + "dc_map.content.draw(dc_df.spatial.bbox)\n", |
371 | 371 | "\n",
|
372 | 372 | "display(dc_map)\n",
|
373 | 373 | "\n",
|
|
404 | 404 | "pr_map = gis.map('Paris')\n",
|
405 | 405 | "\n",
|
406 | 406 | "pr_dis = dissolve_boundaries(pr_fl).query().sdf.iloc[0].SHAPE\n",
|
407 |
| - "pr_map.draw(pr_dis)\n", |
408 |
| - "pr_map.draw(pr_df.spatial.bbox)\n", |
| 407 | + "pr_map.content.draw(pr_dis)\n", |
| 408 | + "pr_map.content.draw(pr_df.spatial.bbox)\n", |
409 | 409 | "\n",
|
410 | 410 | "display(pr_map)\n",
|
411 | 411 | "\n",
|
|
989 | 989 | "dc_osm_df.columns = dc_osm_df.columns.str.replace(\"recycling:\", \"rec\")\n",
|
990 | 990 | "dc_osm_df.SHAPE = dc_osm_df.geom\n",
|
991 | 991 | "\n",
|
992 |
| - "dc_osm_df.spatial.plot(map_widget=dc_map, renderer_type='u', col='recycling_type')\n", |
| 992 | + "dc_osm_df.spatial.plot(map_widget=dc_map)\n", |
993 | 993 | "\n",
|
994 | 994 | "\n",
|
995 | 995 | "pr_osm_df = runner.gen_osm_df('point', pr_bounds, {'amenity': [\"recycling\"]})\n",
|
996 | 996 | "\n",
|
997 | 997 | "pr_osm_df.columns = pr_osm_df.columns.str.replace(\"recycling:\", \"rec\")\n",
|
998 | 998 | "pr_osm_df.SHAPE = pr_osm_df.geom\n",
|
999 | 999 | "\n",
|
1000 |
| - "pr_osm_df.spatial.plot(map_widget=pr_map, renderer_type='u', col='recycling_type')\n", |
| 1000 | + "pr_osm_df.spatial.plot(map_widget=pr_map)\n", |
1001 | 1001 | "\n",
|
1002 | 1002 | "display(dc_osm_df.head(n=1))\n",
|
1003 | 1003 | "display(pr_osm_df.head(n=1))"
|
1004 | 1004 | ]
|
1005 | 1005 | },
|
| 1006 | + { |
| 1007 | + "cell_type": "code", |
| 1008 | + "execution_count": null, |
| 1009 | + "metadata": {}, |
| 1010 | + "outputs": [], |
| 1011 | + "source": [ |
| 1012 | + "rend1 = dc_map.content.renderer(2) # plotted dc_osm_df\n", |
| 1013 | + "rend2 = pr_map.content.renderer(2) # plotted pr_osm_df" |
| 1014 | + ] |
| 1015 | + }, |
| 1016 | + { |
| 1017 | + "cell_type": "code", |
| 1018 | + "execution_count": null, |
| 1019 | + "metadata": {}, |
| 1020 | + "outputs": [], |
| 1021 | + "source": [ |
| 1022 | + "rend1.smart_mapping().class_breaks_renderer(break_type=\"color\", field=\"recycling_type\")" |
| 1023 | + ] |
| 1024 | + }, |
| 1025 | + { |
| 1026 | + "cell_type": "code", |
| 1027 | + "execution_count": null, |
| 1028 | + "metadata": {}, |
| 1029 | + "outputs": [], |
| 1030 | + "source": [ |
| 1031 | + "rend2.smart_mapping().class_breaks_renderer(break_type=\"color\", field=\"recycling_type\")" |
| 1032 | + ] |
| 1033 | + }, |
1006 | 1034 | {
|
1007 | 1035 | "cell_type": "markdown",
|
1008 | 1036 | "metadata": {},
|
|
1124 | 1152 | }
|
1125 | 1153 | ],
|
1126 | 1154 | "source": [
|
1127 |
| - "search_map = gis.map('Berlin', 12)\n", |
| 1155 | + "search_map = gis.map('Berlin')\n", |
| 1156 | + "search_map.zoom = 12\n", |
1128 | 1157 | "display(search_map)"
|
1129 | 1158 | ]
|
1130 | 1159 | },
|
|
1168 | 1197 | " print(f'OSM Coffee Shops Features Within Current Map View: {len(shop_df)}')\n",
|
1169 | 1198 | " print(f'OSM Recycling Features Within Current Map View: {len(recy_df)}')\n",
|
1170 | 1199 | "\n",
|
1171 |
| - " recy_df.spatial.plot(map_widget=search_map, renderer_type='h')\n", |
| 1200 | + " recy_df.spatial.plot(map_widget=search_map)\n", |
1172 | 1201 | " shop_df.spatial.plot(map_widget=search_map)\n",
|
1173 | 1202 | " \n",
|
1174 | 1203 | "except Exception as e:\n",
|
|
1180 | 1209 | " print(e)"
|
1181 | 1210 | ]
|
1182 | 1211 | },
|
| 1212 | + { |
| 1213 | + "cell_type": "code", |
| 1214 | + "execution_count": null, |
| 1215 | + "metadata": {}, |
| 1216 | + "outputs": [], |
| 1217 | + "source": [ |
| 1218 | + "recy_rend = search_map.content.renderer(0) # plotted recy_df\n", |
| 1219 | + "recy_rend.smart_mapping().heatmap()" |
| 1220 | + ] |
| 1221 | + }, |
1183 | 1222 | {
|
1184 | 1223 | "cell_type": "markdown",
|
1185 | 1224 | "metadata": {},
|
|
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