dosubot[bot] commented on issue #31989:
URL: https://github.com/apache/superset/issues/31989#issuecomment-2614232702

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   سلام @MammadTavakoli! I'm here to help you with any bugs, questions, or 
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   To correctly map ISO 3166-2 codes with provinces on a country map for Iran, 
you can use the GeoJSON data provided in the Apache Superset repository. Each 
feature in the GeoJSON contains an "ISO" property that corresponds to the ISO 
3166-2 code and a "NAME_1" property that represents the province name. You can 
use these properties to map the codes to the provinces on a map.
   
   Here's a sample code snippet to extract and map the ISO codes to province 
names:
   
   ```python
   import json
   
   # Load the GeoJSON data
   geojson_data = '''{
       "type": "FeatureCollection",
       "name": "iran",
       "features": [
           { "type": "Feature", "properties": { "ISO": "IR-02", "NAME_1": "West 
Azarbaijan" }, "geometry": { "type": "Polygon", "coordinates": [] } },
           { "type": "Feature", "properties": { "ISO": "IR-01", "NAME_1": "East 
Azarbaijan" }, "geometry": { "type": "Polygon", "coordinates": [] } },
           { "type": "Feature", "properties": { "ISO": "IR-03", "NAME_1": 
"Ardebil" }, "geometry": { "type": "Polygon", "coordinates": [] } }
           // ... other features
       ]
   }'''
   
   # Parse the GeoJSON data
   data = json.loads(geojson_data)
   
   # Create a mapping of ISO codes to province names
   iso_to_province = {feature['properties']['ISO']: 
feature['properties']['NAME_1'] for feature in data['features']}
   
   # Example usage
   print(iso_to_province)
   ```
   
   This code will output a dictionary mapping ISO codes to province names, 
which you can use to display the names on a map 
<sup>[[1]](https://github.com/apache/superset/blob/master/superset-frontend/plugins/legacy-plugin-chart-country-map/src/countries/iran.geojson)</sup>.
   
   To display province names in languages other than English, you would need a 
translation of the province names. The GeoJSON data only provides the names in 
English, so you would need an additional data source that provides the 
translations. Once you have the translations, you can replace the "NAME_1" 
values with the translated names in your map visualization.
   
   
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