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Posted to commits@superset.apache.org by ru...@apache.org on 2024/03/19 15:37:44 UTC
(superset) branch master updated: feat(maps): Add Italy regions code to the map generator notebook (#27542)
This is an automated email from the ASF dual-hosted git repository.
rusackas pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/superset.git
The following commit(s) were added to refs/heads/master by this push:
new 86aa8bde8b feat(maps): Add Italy regions code to the map generator notebook (#27542)
86aa8bde8b is described below
commit 86aa8bde8bcbf2461aede3025f8e2f15d8763546
Author: İSKENDER ÜLGEN OĞUL <is...@users.noreply.github.com>
AuthorDate: Tue Mar 19 18:37:37 2024 +0300
feat(maps): Add Italy regions code to the map generator notebook (#27542)
---
.../scripts/Country Map GeoJSON Generator.ipynb | 306 ++++++++-------------
.../src/countries/france_regions.geojson | 36 +--
.../src/countries/italy_regions.geojson | 40 +--
3 files changed, 151 insertions(+), 231 deletions(-)
diff --git a/superset-frontend/plugins/legacy-plugin-chart-country-map/scripts/Country Map GeoJSON Generator.ipynb b/superset-frontend/plugins/legacy-plugin-chart-country-map/scripts/Country Map GeoJSON Generator.ipynb
index 7006cb441a..28e9142552 100644
--- a/superset-frontend/plugins/legacy-plugin-chart-country-map/scripts/Country Map GeoJSON Generator.ipynb
+++ b/superset-frontend/plugins/legacy-plugin-chart-country-map/scripts/Country Map GeoJSON Generator.ipynb
@@ -40,6 +40,27 @@
"Download datasets (_Admin 0 - Countries_ in [1:10](https://www.naturalearthdata.com/downloads/10m-cultural-vectors/), and _Admin 1 – States, Provinces_ in 1:10 and [1:50](https://www.naturalearthdata.com/downloads/50m-cultural-vectors/)) from Natural Earch Data:"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Dependencies\n",
+ "\n",
+ "import os\n",
+ "import requests\n",
+ "import geopandas as gpd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import shapely\n",
+ "import pandas as pd\n",
+ "import shapely.geometry\n",
+ "import shapely.ops\n",
+ "import shapely.affinity\n",
+ "from shapely.geometry import Polygon, MultiPolygon\n",
+ "import shutil"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
@@ -52,9 +73,6 @@
},
"outputs": [],
"source": [
- "import os\n",
- "import requests\n",
- "\n",
"data_dir = os.path.expanduser(\"~/Downloads\")\n",
"if not os.path.exists(data_dir):\n",
" os.mkdir(data_dir)\n",
@@ -106,15 +124,14 @@
},
"outputs": [],
"source": [
- "import os\n",
- "import geopandas as gpd\n",
- "import matplotlib.pyplot as plt\n",
- "import shapely\n",
- "\n",
+ "# Read Natural Earth data files into GeoDataFrames\n",
"df_admin0_10m = gpd.read_file(f\"{data_dir}/ne_10m_admin_0_countries.zip\")\n",
"df_10m = gpd.read_file(f\"{data_dir}/ne_10m_admin_1_states_provinces.zip\")\n",
"df_50m = gpd.read_file(f\"{data_dir}/ne_50m_admin_1_states_provinces.zip\")\n",
"\n",
+ "# Convert column names to lowercase\n",
+ "df_admin0_10m.columns = df_admin0_10m.columns.str.lower()\n",
+ "\n",
"# Download and load the GeoJSON file for India\n",
"india_geojson_url = \"https://github.com/geohacker/india/raw/bcb920c7d3c686f01d085f7661c9ba89bf9bf65e/state/india_state_kashmir_ladakh.geojson\"\n",
"\n",
@@ -126,31 +143,6 @@
" print(\"Please download the file from the URL and try again.\")"
]
},
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "_PKEg8s1t1LT",
- "outputId": "9937eacd-7a05-491f-f356-790ad75a819f"
- },
- "outputs": [],
- "source": [
- "df_50m.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "w8OD4nq2t1LT",
- "outputId": "b7164440-d6e0-4074-b357-47fd8a8d2884"
- },
- "outputs": [],
- "source": [
- "df_admin0_10m.columns = df_admin0_10m.columns.str.lower()\n",
- "df_admin0_10m.columns"
- ]
- },
{
"cell_type": "code",
"execution_count": null,
@@ -178,18 +170,10 @@
"source": [
"df_50m[df_50m.adm0_a3 == 'USA'].plot(figsize=(20,10))\n",
"plt.show()\n",
+ "\n",
"india_gdf.plot(figsize=(20, 10))"
]
},
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "VvpqxOjMt1LU"
- },
- "source": [
- "Use 1:50m geometry for some large countries:"
- ]
- },
{
"cell_type": "code",
"execution_count": null,
@@ -199,7 +183,9 @@
},
"outputs": [],
"source": [
- "df_50m['admin'].unique()"
+ "# Use 1:50m geometry for some large countries:\n",
+ "\n",
+ "print(*df_50m['admin'].unique(), sep='\\n')"
]
},
{
@@ -210,8 +196,6 @@
},
"outputs": [],
"source": [
- "import pandas as pd\n",
- "\n",
"df = pd.concat([df_10m[~df_10m['admin'].isin(df_50m['admin'].unique())], df_50m])"
]
},
@@ -273,7 +257,7 @@
" 'indonesia',\n",
" 'iran',\n",
" 'italy',\n",
- " 'italy_regions', # this one is custom - see below\n",
+ " 'italy_regions', # this one is derived from italy - see below\n",
" 'japan',\n",
" 'jordan',\n",
" 'kazakhstan',\n",
@@ -345,7 +329,7 @@
"\n",
"# CSV files that exist specifically on the repo, rather than in the dataset\n",
"custom_countries = [\n",
- " 'italy_regions',\n",
+ " \n",
"]\n",
"\n",
"# Make sure all country names are covered:\n",
@@ -373,8 +357,6 @@
},
"outputs": [],
"source": [
- "import geopandas as gpd\n",
- "\n",
"alt_maps = dict()\n",
"\n",
"def get_gdf(country):\n",
@@ -393,9 +375,13 @@
" for i, country in enumerate(countries):\n",
" # create subplot axes in a 3x3 grid\n",
" ax = plt.subplot(len(countries) // 5, 6, i + 1) # nrows, ncols, axes position\n",
- " get_gdf(country).plot(ax=ax)\n",
+ " gdf = get_gdf(country)\n",
+ " if not gdf.empty: # check if GeoDataFrame is not empty\n",
+ " gdf.plot(ax=ax)\n",
+ " ax.set_aspect('equal', adjustable='datalim')\n",
+ " else: # if GeoDataFrame is empty\n",
+ " ax.text(0.5, 0.5, country, ha='center', va='center') # add country name to the center of the subplot\n",
" ax.set_title(country)\n",
- " ax.set_aspect('equal', adjustable='datalim')\n",
"\n",
" plt.tight_layout()\n",
" plt.show()\n",
@@ -411,7 +397,7 @@
"source": [
"### Handle countries with flying islands\n",
"\n",
- "#### USA"
+ "- For countries with flying islands, we need to move the islands closer to the mainland."
]
},
{
@@ -420,7 +406,7 @@
"id": "Z4y46Zuot1LU"
},
"source": [
- "For countries with flying islands, we need to move the islands closer to the mainland."
+ "#### USA"
]
},
{
@@ -513,14 +499,15 @@
},
"outputs": [],
"source": [
- "import pandas as pd\n",
- "\n",
"china = df[df.admin == \"China\"]\n",
"china_copy = pd.concat([china, china_sars], ignore_index=True)\n",
+ "\n",
"# Combine the 'name_zh' columns\n",
"china_copy[\"name_zh\"] = china_copy[\"name_zh\"].combine_first(china_copy[\"name_zh_y\"])\n",
+ "\n",
"# Drop the extra 'name_zh_x' and 'name_zh_y' columns, if they exist\n",
"china_copy = china_copy.drop([\"name_zh_x\", \"name_zh_y\"], axis=1)\n",
+ "\n",
"# Plotting the DataFrame\n",
"china_copy.plot(figsize=(12, 12))"
]
@@ -542,7 +529,7 @@
"source": [
"#### Finland\n",
"\n",
- "The Åland Islands (ISO country code AX) is an autonomous region of Finland, and carries the ISO-3166 code FI-01."
+ "- The Åland Islands (ISO country code AX) is an autonomous region of Finland, and carries the ISO-3166 code FI-01."
]
},
{
@@ -575,17 +562,19 @@
},
"outputs": [],
"source": [
- "import pandas as pd\n",
- "\n",
"finland = df[df.admin == \"Finland\"]\n",
+ "\n",
"# Concatenate the 'finland' DataFrame with 'finland_aland' DataFrame\n",
"finland_copy = pd.concat([finland, finland_aland], ignore_index=True)\n",
+ "\n",
"# Combine 'name_fi' columns. However, since both columns are named 'name_fi', this might be redundant\n",
"# If you have two different columns for 'name_fi' values in each DataFrame, specify them as 'name_fi_x' and 'name_fi_y'\n",
"finland_copy[\"name_fi\"] = finland_copy[\"name_fi\"].combine_first(finland_copy[\"name_fi\"])\n",
+ "\n",
"# Drop the 'name_fi' column, if that's intended. This will remove the 'name_fi' data entirely.\n",
"# If you meant to drop other columns (like 'name_fi_x' and 'name_fi_y'), update the column names accordingly\n",
"finland_copy = finland_copy.drop([\"name_fi\"], axis=1)\n",
+ "\n",
"# Plotting the DataFrame\n",
"finland_copy.plot(figsize=(12, 12))\n"
]
@@ -598,7 +587,7 @@
"source": [
"#### Norway\n",
"\n",
- "Remove NO-X01~ (The uninhabited Bouvet Island) and move Svalbard closer to mainland"
+ "- Remove NO-X01~ (The uninhabited Bouvet Island) and move Svalbard closer to mainland"
]
},
{
@@ -624,6 +613,7 @@
"outputs": [],
"source": [
"norway_copy = norway.copy()\n",
+ "\n",
"norway_copy = norway_copy[norway_copy[\"iso_3166_2\"] != \"NO-X01~\"]\n",
"reposition(norway_copy, norway.name == 'Svalbard', -12, -8, 0.5, 0.5)\n",
"#reposition(norway_copy, norway.name == 'Nordland', 10, 0, 2, 2)\n",
@@ -663,8 +653,10 @@
"outputs": [],
"source": [
"portugal_copy = portugal.copy()\n",
+ "\n",
"reposition(portugal_copy, portugal.name == 'Azores', 11, 0)\n",
"reposition(portugal_copy, portugal.name == 'Madeira', 6, 2, simplify=0.015)\n",
+ "\n",
"portugal_copy.plot(figsize=(8, 8))"
]
},
@@ -700,7 +692,9 @@
"outputs": [],
"source": [
"spain_copy = spain.copy()\n",
+ "\n",
"reposition(spain_copy, spain.name.isin(['Las Palmas', 'Santa Cruz de Tenerife']), 3, 7, 1, 1)\n",
+ "\n",
"spain_copy.plot(figsize=(8, 8))"
]
},
@@ -732,7 +726,7 @@
"id": "IOuQ_OzMt1LW"
},
"source": [
- "Russia looks off because of Chukchi runs across E180. We need to move the parts on the other side of the map to the right."
+ "- Russia looks off because of Chukchi runs across E180. We need to move the parts on the other side of the map to the right."
]
},
{
@@ -745,10 +739,6 @@
},
"outputs": [],
"source": [
- "import shapely.geometry\n",
- "import shapely.ops\n",
- "import shapely.affinity\n",
- "\n",
"def shift_geom(geom, cutoff=0):\n",
" border = shapely.geometry.LineString([(cutoff, -90), (cutoff, 90)])\n",
" splitted_geom = shapely.ops.split(geom, border)\n",
@@ -815,8 +805,6 @@
"metadata": {},
"outputs": [],
"source": [
- "from shapely.geometry import Polygon, MultiPolygon\n",
- "\n",
"# NUTS - 1 Codes for Turkey and correspong region - city names\n",
"\n",
"region_dict = {\n",
@@ -896,7 +884,7 @@
"id": "aYFQYe8-t1LW"
},
"source": [
- "#### France"
+ "### France"
]
},
{
@@ -978,123 +966,63 @@
"metadata": {},
"outputs": [],
"source": [
- "france_regions = france_copy.copy()\n",
- "# Define the mapping from the departments to their parent division\n",
- "# i.e. from departments to regions\n",
- "# Source: https://www.iso.org/obp/ui/#iso:code:3166:FR\n",
- "dep_to_reg = {\n",
- " \"FR-01\": \"FR-ARA\",\n",
- " \"FR-02\": \"FR-HDF\",\n",
- " \"FR-03\": \"FR-ARA\",\n",
- " \"FR-04\": \"FR-PAC\",\n",
- " \"FR-05\": \"FR-PAC\",\n",
- " \"FR-06\": \"FR-PAC\",\n",
- " \"FR-07\": \"FR-ARA\",\n",
- " \"FR-08\": \"FR-GES\",\n",
- " \"FR-09\": \"FR-OCC\",\n",
- " \"FR-10\": \"FR-GES\",\n",
- " \"FR-11\": \"FR-OCC\",\n",
- " \"FR-12\": \"FR-OCC\",\n",
- " \"FR-13\": \"FR-PAC\",\n",
- " \"FR-14\": \"FR-NOR\",\n",
- " \"FR-15\": \"FR-ARA\",\n",
- " \"FR-16\": \"FR-NAQ\",\n",
- " \"FR-17\": \"FR-NAQ\",\n",
- " \"FR-18\": \"FR-CVL\",\n",
- " \"FR-19\": \"FR-NAQ\",\n",
- " \"FR-21\": \"FR-BFC\",\n",
- " \"FR-22\": \"FR-BRE\",\n",
- " \"FR-23\": \"FR-NAQ\",\n",
- " \"FR-24\": \"FR-NAQ\",\n",
- " \"FR-25\": \"FR-BFC\",\n",
- " \"FR-26\": \"FR-ARA\",\n",
- " \"FR-27\": \"FR-NOR\",\n",
- " \"FR-28\": \"FR-CVL\",\n",
- " \"FR-29\": \"FR-BRE\",\n",
- " \"FR-2A\": \"FR-20R\",\n",
- " \"FR-2B\": \"FR-20R\",\n",
- " \"FR-30\": \"FR-OCC\",\n",
- " \"FR-31\": \"FR-OCC\",\n",
- " \"FR-32\": \"FR-OCC\",\n",
- " \"FR-33\": \"FR-NAQ\",\n",
- " \"FR-34\": \"FR-OCC\",\n",
- " \"FR-35\": \"FR-BRE\",\n",
- " \"FR-36\": \"FR-CVL\",\n",
- " \"FR-37\": \"FR-CVL\",\n",
- " \"FR-38\": \"FR-ARA\",\n",
- " \"FR-39\": \"FR-BFC\",\n",
- " \"FR-40\": \"FR-NAQ\",\n",
- " \"FR-41\": \"FR-CVL\",\n",
- " \"FR-42\": \"FR-ARA\",\n",
- " \"FR-43\": \"FR-ARA\",\n",
- " \"FR-44\": \"FR-PDL\",\n",
- " \"FR-45\": \"FR-CVL\",\n",
- " \"FR-46\": \"FR-OCC\",\n",
- " \"FR-47\": \"FR-NAQ\",\n",
- " \"FR-48\": \"FR-OCC\",\n",
- " \"FR-49\": \"FR-PDL\",\n",
- " \"FR-50\": \"FR-NOR\",\n",
- " \"FR-51\": \"FR-GES\",\n",
- " \"FR-52\": \"FR-GES\",\n",
- " \"FR-53\": \"FR-PDL\",\n",
- " \"FR-54\": \"FR-GES\",\n",
- " \"FR-55\": \"FR-GES\",\n",
- " \"FR-56\": \"FR-BRE\",\n",
- " \"FR-57\": \"FR-GES\",\n",
- " \"FR-58\": \"FR-BFC\",\n",
- " \"FR-59\": \"FR-HDF\",\n",
- " \"FR-60\": \"FR-HDF\",\n",
- " \"FR-61\": \"FR-NOR\",\n",
- " \"FR-62\": \"FR-HDF\",\n",
- " \"FR-63\": \"FR-ARA\",\n",
- " \"FR-64\": \"FR-NAQ\",\n",
- " \"FR-65\": \"FR-OCC\",\n",
- " \"FR-66\": \"FR-OCC\",\n",
- " \"FR-67\": \"FR-GES\",\n",
- " \"FR-68\": \"FR-GES\",\n",
- " \"FR-69\": \"FR-ARA\",\n",
- " \"FR-70\": \"FR-BFC\",\n",
- " \"FR-71\": \"FR-BFC\",\n",
- " \"FR-72\": \"FR-PDL\",\n",
- " \"FR-73\": \"FR-ARA\",\n",
- " \"FR-74\": \"FR-ARA\",\n",
- " \"FR-75\": \"FR-IDF\",\n",
- " \"FR-76\": \"FR-NOR\",\n",
- " \"FR-77\": \"FR-IDF\",\n",
- " \"FR-78\": \"FR-IDF\",\n",
- " \"FR-79\": \"FR-NAQ\",\n",
- " \"FR-80\": \"FR-HDF\",\n",
- " \"FR-81\": \"FR-OCC\",\n",
- " \"FR-82\": \"FR-OCC\",\n",
- " \"FR-83\": \"FR-PAC\",\n",
- " \"FR-84\": \"FR-PAC\",\n",
- " \"FR-85\": \"FR-PDL\",\n",
- " \"FR-86\": \"FR-NAQ\",\n",
- " \"FR-87\": \"FR-NAQ\",\n",
- " \"FR-88\": \"FR-GES\",\n",
- " \"FR-89\": \"FR-BFC\",\n",
- " \"FR-90\": \"FR-BFC\",\n",
- " \"FR-91\": \"FR-IDF\",\n",
- " \"FR-92\": \"FR-IDF\",\n",
- " \"FR-93\": \"FR-IDF\",\n",
- " \"FR-94\": \"FR-IDF\",\n",
- " \"FR-95\": \"FR-IDF\",\n",
- " \"FR-GF\": \"FR-GF\",\n",
- " \"FR-MQ\": \"FR-MQ\",\n",
- " \"FR-GP\": \"FR-GP\",\n",
- " \"FR-RE\": \"FR-RE\",\n",
- " \"FR-YT\": \"FR-YT\",\n",
- "}\n",
- "# Apply the mapping departments => regions\n",
- "france_regions[\"iso_3166_2_region\"] = france_regions['iso_3166_2'].apply(lambda x: dep_to_reg[x])\n",
- "# Merge the departments together \n",
- "# https://geopandas.org/en/stable/docs/user_guide/aggregation_with_dissolve.html\n",
- "france_regions = france_regions.dissolve(by='iso_3166_2_region')\n",
- "# Fix the label\n",
- "france_regions['iso_3166_2'] = france_regions['iso_3166_2'].index\n",
- "# Fix the name\n",
- "france_regions['name'] = france_regions['region']\n",
- "france_regions.plot()"
+ "france_regions = france_copy[['geometry','region_cod','region']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "france_regions = france_regions.dissolve(by=['region_cod', 'region']).reset_index()\n",
+ "\n",
+ "france_regions = france_regions.rename(columns={'region': 'name', 'region_cod': 'iso_3166_2'})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "france_regions.plot(figsize=(10, 7), edgecolor='black', column='iso_3166_2', legend=False, cmap='tab20')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Italy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Italy Regions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "italy_regions = df[df.admin == 'Italy'][['geometry','region_cod','region']]\n",
+ "\n",
+ "italy_regions = italy_regions.dissolve(by=['region_cod', 'region']).reset_index()\n",
+ "\n",
+ "italy_regions = italy_regions.rename(columns={'region': 'name', 'region_cod': 'iso_3166_2'})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "italy_regions.plot(figsize=(10, 7), edgecolor='black', column='iso_3166_2', legend=False, cmap='tab20')"
]
},
{
@@ -1205,6 +1133,7 @@
" \"france\": france_copy,\n",
" \"france_regions\": france_regions,\n",
" \"turkey_regions\": turkey_regions,\n",
+ " \"italy_regions\": italy_regions,\n",
" \"netherlands\": netherlands_copy,\n",
" \"norway\": norway_copy,\n",
" \"uk\": uk_copy,\n",
@@ -1236,8 +1165,6 @@
},
"outputs": [],
"source": [
- "import shutil\n",
- "\n",
"simplify_factors = {\n",
" \"uk\": 0.005,\n",
"}\n",
@@ -1368,13 +1295,6 @@
"\n",
"print(\"TypeScript code written to src/countries.ts\")"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/france_regions.geojson b/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/france_regions.geojson
index 0e6ffb9cb5..64f529a510 100644
--- a/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/france_regions.geojson
+++ b/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/france_regions.geojson
@@ -2,23 +2,23 @@
"type": "FeatureCollection",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
-{ "type": "Feature", "properties": { "iso_3166_2_region": "FR-20R", "ISO": "FR-20R", "NAME_1": "Corse" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 9.39429772200009, 41.84796784100007 ], [ 9.401621941000087, 41.706447658000059 ], [ 9.372243686000047, 41.68390534100007 ], [ 9.377940300000091, 41.656439520000049 ], [ 9.345225457000083, 41.640326239000046 ], [ 9.346690300000091, 41.619574286000045 ], [ 9.292165561000047, 41.62641022300005 ], [ 9.278575066000087, 41.598374 [...]
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diff --git a/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/italy_regions.geojson b/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/italy_regions.geojson
index 871098b36f..e5c67a5781 100644
--- a/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/italy_regions.geojson
+++ b/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/italy_regions.geojson
@@ -2,25 +2,25 @@
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