From 92d1226a1de195ce5ac35b7a05f9386b29392326 Mon Sep 17 00:00:00 2001 From: Manushi Majumdar Date: Fri, 24 Jul 2026 15:40:36 -0400 Subject: [PATCH] updated mapping implementation --- .../track_river_pollutants.ipynb | 643 +++++++++++------- 1 file changed, 390 insertions(+), 253 deletions(-) diff --git a/samples/04_gis_analysts_data_scientists/track_river_pollutants.ipynb b/samples/04_gis_analysts_data_scientists/track_river_pollutants.ipynb index f48210c788..ad9b8c9d00 100644 --- a/samples/04_gis_analysts_data_scientists/track_river_pollutants.ipynb +++ b/samples/04_gis_analysts_data_scientists/track_river_pollutants.ipynb @@ -64,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 64, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +73,12 @@ "\n", "from arcgis.gis import GIS\n", "from arcgis.geocoding import geocode\n", - "from arcgis import features" + "from arcgis.geometry import Geometry\n", + "from arcgis. features.analyze_patterns import interpolate_points\n", + "from arcgis.features.find_locations import trace_downstream\n", + "from arcgis.features.use_proximity import create_buffers\n", + "from arcgis.features.summarize_data import aggregate_points\n", + "from arcgis.map.smart_mapping import ClassBreaksRendererParams, ClassBreaksType" ] }, { @@ -100,7 +105,7 @@ "outputs": [ { "data": { - "image/jpeg": 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\n", 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", 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Feature Layer Collection by esri_notebook\n", - "
Last Modified: June 25, 2019\n", - "
0 comments, 109 views\n", + "

Feature Layer Collection by esri_notebook\n", + "
Last Modified: December 04, 2025\n", + "
0 comments, 1807 views\n", "
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\n", " " @@ -259,29 +262,52 @@ "metadata": {}, "outputs": [], "source": [ - "map_chennai.add_layer(chennai_waste)" + "map_chennai.content.add(chennai_waste)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "{'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n", + " 'xmin': 8570722.277136592,\n", + " 'ymin': 1162909.6925192724,\n", + " 'xmax': 9031178.935526373,\n", + " 'ymax': 1529807.4282880228}" ] }, + "execution_count": 8, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "map_chennai.take_screenshot()" + "chennai_extent = map_chennai.extent\n", + "chennai_extent" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____xXp4L_hzZ-GadK1RgE-QpDQ..x_____x_ags_45b6519f-8789-11f1-bb66-0affdf986f91.jpg'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "map_chennai.print(file_format='JPG', extent = chennai_extent)" ] }, { @@ -293,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -301,17 +327,17 @@ "text/html": [ "
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Feature Layer Collection by esri_notebook\n", - "
Last Modified: June 25, 2019\n", - "
0 comments, 192 views\n", + "

Feature Layer Collection by esri_notebook\n", + "
Last Modified: December 04, 2025\n", + "
0 comments, 3459 views\n", "
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\n", " " @@ -320,7 +346,7 @@ "" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -334,46 +360,21 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 79, "metadata": {}, "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "7762f3c2d6914ad6ac69fa2286263b27", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "MapView(layout=Layout(height='400px', width='100%'))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ - "
" + "" ], "text/plain": [ - "" + "" ] }, + "execution_count": 79, "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -390,34 +391,70 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "map_rainfall.content.add(rainfall)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ - "map_rainfall.add_layer(rainfall, {\"renderer\": \"ClassedSizeRenderer\",\n", - " \"field_name\": \"RAINFALL\"})" + "smart_mapping = map_rainfall.content.renderer_manager(0).smart_mapping()\n", + "class_breaks = ClassBreaksRendererParams(\n", + " break_type=ClassBreaksType.SIZE,\n", + " field=\"RAINFALL\",\n", + ")\n", + "smart_mapping.create_renderer(class_breaks)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "{'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n", + " 'xmin': 8267798.2265143795,\n", + " 'ymin': 868110.3809203943,\n", + " 'xmax': 9188711.543293944,\n", + " 'ymax': 1601905.852457895}" ] }, + "execution_count": 14, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" + } + ], + "source": [ + "tamilnadu_extent = map_rainfall.extent\n", + "tamilnadu_extent" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____x6bpqBwrngkNFlxq-sC1w2A..x_____x_ags_64ff67e6-878a-11f1-ae5a-0ef750374803.png'" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "map_rainfall.take_screenshot()" + "map_rainfall.print(file_format='PNG8', extent = tamilnadu_extent)" ] }, { @@ -439,10 +476,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, + "execution_count": 20, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -453,7 +488,7 @@ } ], "source": [ - "interpolated_rf = features.analyze_patterns.interpolate_points(\n", + "interpolated_rf = interpolate_points(\n", " rainfall, field='RAINFALL')" ] }, @@ -466,46 +501,21 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 80, "metadata": {}, "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3295dd2107cd4bdb932342797ab3b2ad", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "MapView(layout=Layout(height='400px', width='100%'))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ - "
" + "" ], "text/plain": [ - "" + "" ] }, + "execution_count": 80, "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -515,33 +525,56 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "map_int.add_layer(interpolated_rf['result_layer'])" + "map_int.content.add(interpolated_rf['result_layer'])" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "{'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n", + " 'xmin': 8209094.58879138,\n", + " 'ymin': 868110.3809203943,\n", + " 'xmax': 9247415.181016942,\n", + " 'ymax': 1601905.852457895}" ] }, + "execution_count": 23, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" + } + ], + "source": [ + "map_int_extent = map_int.extent\n", + "map_int_extent" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____xEVTARO2sxS7oqbFTtkszVg..x_____x_ags_202747ca-8792-11f1-8e7c-0affed116147.jpg'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "map_int.take_screenshot()" + "map_int.print(file_format = \"JPG\", extent = map_int_extent)" ] }, { @@ -566,6 +599,26 @@ "Much of the flooding and subsequent waterlogging was a consequence of the outflows from major reservoirs into swollen rivers and into the city following heavy rains. The release of waters from the Chembarambakkam reservoir in particular has received much attention. [Source: The Hindu, http://www.thehindu.com/news/cities/chennai/chennai-floods-a-wrong-call-that-sank-the-city/article7967371.ece]" ] }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[, , ]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "map_water.content.layers" + ] + }, { "cell_type": "code", "execution_count": 16, @@ -626,16 +679,16 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ - "map_water.draw(geocode(\"Chembarambakkam, Tamil Nadu\")[0],\n", - " {\"title\": \"Chembarambakkam\", \"content\": \"Water reservoir\"})\n", - "map_water.draw(geocode(\"Puzhal Lake, Tamil Nadu\")[0],\n", - " {\"title\": \"Puzhal\", \"content\": \"Water reservoir\"})\n", - "map_water.draw(geocode(\"Kannampettai, Tamil Nadu\")[0],\n", - " {\"title\": \"Poondi Lake \", \"content\": \"Water reservoir\"})" + "map_water.content.draw(Geometry(geocode(\"Chembarambakkam, Tamil Nadu\", out_sr={'wkid':3857})[0]['location']), \n", + " attributes = {\"title\": \"Chembarambakkam\", \"content\": \"Water reservoir\"})\n", + "map_water.content.draw(Geometry(geocode(\"Puzhal Lake, Tamil Nadu\", out_sr={'wkid':3857})[0]['location']), \n", + " attributes = {\"title\": \"Puzhal\", \"content\": \"Water reservoir\"})\n", + "map_water.content.draw(Geometry(geocode(\"Kannampettai, Tamil Nadu\")[0]['location'], out_sr={'wkid':3857}), \n", + " attributes = {\"title\": \"Poondi Lake \", \"content\": \"Water reservoir\"})" ] }, { @@ -647,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -655,17 +708,17 @@ "text/html": [ "
\n", "
\n", - " \n", - " \n", + " \n", + " \n", " \n", "
\n", "\n", "
\n", - " Chennai_lakes\n", + " Chennai_lakes\n", " \n", - "
Feature Layer Collection by esri_notebook\n", - "
Last Modified: June 25, 2019\n", - "
0 comments, 166 views\n", + "

Feature Layer Collection by esri_notebook\n", + "
Last Modified: December 04, 2025\n", + "
0 comments, 1548 views\n", "
\n", "
\n", " " @@ -674,7 +727,7 @@ "" ] }, - "execution_count": 18, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -695,7 +748,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -711,13 +764,13 @@ " 11 features" ] }, - "execution_count": 19, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "downstream = features.find_locations.trace_downstream(chennai_lakes)\n", + "downstream = trace_downstream(chennai_lakes)\n", "downstream.query()" ] }, @@ -730,7 +783,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -742,39 +795,62 @@ } ], "source": [ - "floodprone_buffer = features.use_proximity.create_buffers(\n", + "floodprone_buffer = create_buffers(\n", " downstream, [1], units='Miles')" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ - "map_water.add_layer(floodprone_buffer)" + "map_water.content.add(floodprone_buffer)" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "{'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n", + " 'xmin': 8895582.18529671,\n", + " 'ymin': 1445038.7545890922,\n", + " 'xmax': 8960477.222310808,\n", + " 'ymax': 1490900.971560186}" ] }, + "execution_count": 51, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "map_water.take_screenshot()" + "map_water_extent = map_water.extent\n", + "map_water_extent" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____x0svuSK71TSvAgyhbH9pKJA..x_____x_ags_20a3508f-8794-11f1-a847-0ee673401c85.png'" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "map_water.print(file_format = \"PNG8\", extent = map_water_extent)" ] }, { @@ -788,58 +864,89 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 53, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "\n", + "
\n", + " chennai_relief_centers\n", + " \n", + "

Feature Layer Collection by esri_notebook\n", + "
Last Modified: December 04, 2025\n", + "
0 comments, 1430 views\n", + "
\n", + "
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "relief_centers = gis.content.search(\n", " f\"Chennai Relief Centers {group_query}\",\n", " item_type=\"Feature Service\",\n", - " outside_org=True)[0]" + " outside_org=True)[0]\n", + "relief_centers" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c6dd2524f18c49af80b354e625d533e7", + "model_id": "9ff82e65d1d146ed81b06a5627fa0a3a", "version_major": 2, - "version_minor": 0 + "version_minor": 1 }, "text/plain": [ - "MapView(layout=Layout(height='400px', width='100%'))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" + "" ] }, + "execution_count": 54, "metadata": {}, - "output_type": "display_data" - }, + "output_type": "execute_result" + } + ], + "source": [ + "map_relief = gis.map(\"Chennai\")\n", + "map_relief" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "
" + "" ], "text/plain": [ - "" + "" ] }, + "execution_count": 81, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -849,20 +956,20 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "map_relief.add_layer(chennai_waste)" + "map_relief.content.add(chennai_waste)" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ - "map_relief.add_layer(relief_centers)" + "map_relief.content.add(relief_centers)" ] }, { @@ -874,7 +981,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -1016,7 +1123,7 @@ "4 {\"x\": 8919695.334199999, \"y\": 1464332.82629999... " ] }, - "execution_count": 27, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -1028,7 +1135,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 58, "metadata": { "pycharm": { "name": "#%%\n" @@ -1041,18 +1148,16 @@ }, { "cell_type": "code", - "execution_count": 29, - "metadata": { - "scrolled": true - }, + "execution_count": 59, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "31478" + "np.int64(31478)" ] }, - "execution_count": 29, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -1063,7 +1168,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -1080,7 +1185,7 @@ "Name: no_of_pers, dtype: Float64" ] }, - "execution_count": 30, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } @@ -1091,7 +1196,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -1100,13 +1205,13 @@ "" ] }, - "execution_count": 31, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ "
" ] @@ -1128,7 +1233,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -1137,7 +1242,7 @@ "(136, 11)" ] }, - "execution_count": 32, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1155,7 +1260,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -1164,7 +1269,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -1176,7 +1281,7 @@ } ], "source": [ - "res = features.summarize_data.aggregate_points(\n", + "res = aggregate_points(\n", " relief_centers,\n", " chennai_waste_featurelayer,\n", " False,\n", @@ -1185,7 +1290,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -1194,39 +1299,88 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ - "map_relief.add_layer(aggr_lyr, {\"renderer\": \"ClassedSizeRenderer\",\n", - " \"field_name\": \"sum_no_of_pers\"})" + "map_relief.content.add(aggr_lyr)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We look through the layers within `map_relief`'s `content` below to choose the appropriate layer for smart mapping." ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 70, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "[,\n", + " ,\n", + " ]" ] }, + "execution_count": 70, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "map_relief.take_screenshot()" + "map_relief.content.layers" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "smart_mapping = map_relief.content.renderer_manager(2).smart_mapping()\n", + "class_breaks = ClassBreaksRendererParams(\n", + " break_type=ClassBreaksType.SIZE,\n", + " field=\"sum_no_of_pers\",\n", + ")\n", + "smart_mapping.create_renderer(class_breaks)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "map_relief_extent = map_relief.extent" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____xP5JEagM-6KO-rErmOKIb9Q..x_____x_ags_8f34601e-8796-11f1-ad03-0efe48c04c33.png'" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "map_relief.print(file_format = \"PNG32\", extent = map_relief_extent)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, "metadata": {}, "outputs": [ { @@ -1380,7 +1534,7 @@ "[3 rows x 33 columns]" ] }, - "execution_count": 38, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -1399,7 +1553,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 70, "metadata": { "scrolled": true }, @@ -1457,7 +1611,7 @@ "Kancheepuram 8370.0" ] }, - "execution_count": 39, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -1472,7 +1626,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 71, "metadata": {}, "outputs": [ { @@ -1481,13 +1635,13 @@ "" ] }, - "execution_count": 40, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -1518,46 +1672,21 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 84, "metadata": {}, "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "678fd65aba9748049ce1af17f59f5ada", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "MapView(layout=Layout(height='400px', width='100%'))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ - "
" + "" ], "text/plain": [ - "" + "" ] }, + "execution_count": 84, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ @@ -1567,7 +1696,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -1576,12 +1705,13 @@ " as_featureset=True\n", " )\n", "\n", - "map_route.add_layer(nehru_stadium)" + "map_route.content.add(nehru_stadium)\n", + "map_route.zoom_to_layer(nehru_stadium)" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 74, "metadata": { "scrolled": true }, @@ -1592,14 +1722,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 75, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Network elements with avoid-restrictions are traversed in the output (restriction attribute names: \"Avoid Unpaved Roads\" \"Avoid Private Roads\" \"Through Traffic Prohibited\" \"Avoid Gates\").\n", + "Network elements with avoid-restrictions are traversed in the output (restriction attribute names: \"Avoid Gates\" \"Avoid Private Roads\" \"Avoid Unpaved Roads\" \"Through Traffic Prohibited\").\n", "{\"cost\": 10.0}\n" ] } @@ -1614,38 +1744,45 @@ " travel_mode='Driving Time',\n", " stop_service_time=30)\n", "\n", - "map_route.add_layer(routes['routes_layer'])" + "map_route.content.add(routes['routes_layer'])" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "map_route.add_layer(routes['assigned_stops_layer'])" + "map_route.content.add(routes['assigned_stops_layer'])" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "map_route_extent = map_route.extent" + ] + }, + { + "cell_type": "code", + "execution_count": 78, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "" - ], "text/plain": [ - "" + "'https://utility.arcgisonline.com/arcgis/rest/directories/arcgisoutput/Utilities/PrintingTools_GPServer/x_____xEVTARO2sxS7oqbFTtkszVg..x_____x_ags_ed4669d2-8794-11f1-a6f2-0affed116147.jpg'" ] }, + "execution_count": 78, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "map_route.take_screenshot()" + "map_route.print(file_format = \"JPG\", extent = map_route_extent)" ] }, { @@ -1677,7 +1814,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.12.11" }, "toc": { "base_numbering": 1,