nepal-geo-data 0.2.2

Comprehensive Python package offering Nepal's geographical data including GeoJSON for all 77 districts and 7 provinces. Ideal for GIS, mapping, and data visualization projects for Nepal.

Nepal Geo Data: Complete Geographical GeoJSON for Nepal

Nepal Geo Data is the most comprehensive Python package for Nepal's geographical data. It provides high-quality GeoJSON for all 77 Districts, 7 Provinces, and 753 Local Levels (Municipalities/Gaunpalikas), along with rich metadata (Nepali names, official codes).

Whether you are building a dashboard in Streamlit, analyzing spatial data with Pandas/GeoPandas, or creating interactive maps with Plotly/Folium, this package provides the map data you need with a simple API.

Key Features

• Complete Administrative Coverage:
  • 7 Provinces (Pradesh)
  • 77 Districts (Jilla)
  • 753 Local Levels (Palikas/Municipalities) - New in v0.2.0!
• Rich Metadata: Includes English names, Nepali names (e.g., "Kathmandu", "काठमाडौँ"), and official government codes.
• Zero Dependencies: Works with standard Python libraries.
• GIS Ready: Outputs standard FeatureCollections compatible with GeoPandas (gpd.read_file), Folium, and Plotly.
• Backward Compatible: Preserves legacy behavior (UPPERCASE district keys) for existing projects.

Installation

Install via pip from PyPI:

pip install nepal-geo-data

Quick Start & Tutorials

1. Districts and Provinces

Get lists and details of administrative boundaries.

import nepal_geo_data

# Print the built-in guide
nepal_geo_data.help()

# Get all district names
districts = nepal_geo_data.get_districts()
print(districts) 
# Output: ['ACHHAM', 'ARGHAKHANCHI', ..., 'UDAYAPUR']

# Get details for a specific district (Case Insensitive)
ktm = nepal_geo_data.get_district("Kathmandu")
print(ktm['properties']['district_name_np'])  # Output: काठमाडौँ
print(ktm['properties']['province_name_en'])  # Output: Bagmati Province

# Get all districts in a specific province (e.g., Karnali Province / Province 6)
karnali_districts = nepal_geo_data.get_province_districts(6)

2. Working with Municipalities (New!)

The package now supports all 753 Local Levels.

Get All Municipalities

# Get a list of ALL municipalities in Nepal
all_munis = nepal_geo_data.get_municipalities()
print(f"Total Municipalities: {len(all_munis)}") # 753
print(all_munis[:5]) 

Filter Municipalities by District

The get_municipalities function accepts an optional district_name parameter.

# Get only municipalities in 'Jhapa' district
jhapa_munis = nepal_geo_data.get_municipalities("Jhapa")

print(f"Municipalities in Jhapa: {len(jhapa_munis)}")
for muni in jhapa_munis:
    print(f"- {muni}")
    
# Output:
# - Arjundhara
# - Bhadrapur
# - Birtamod
# ...

Get Municipality Details & Map Data

Search for a specific municipality to get its full GeoJSON (coordinates, codes, Nepali name).

# Get data for 'Kathmandu Metropolitan City'
# You can search by English name (case-insensitive)
ktm_metro = nepal_geo_data.get_municipality("Kathmandu Metropolitan City")

if ktm_metro:
    props = ktm_metro['properties']
    print(f"Name (EN): {props['gapa_napa']}")      # Kathmandu Metropolitan City
    print(f"Name (NP): {props['gapa_napa_np']}")  # काठमाडौँ महानगरपालिका
    print(f"Type: {props['type']}")                # Mahanagarpalika
    print(f"District ID: {props['district_code']}")
    
    # Access geometry for plotting
    # geometry = ktm_metro['geometry']

3. Integration with Plotly (Choropleth Maps)

Create stunning interactive maps using the GeoJSON data.

import plotly.express as px
from nepal_geo_data import get_geojson

# Load District GeoJSON
nepal_geojson = get_geojson()

# Dummy data dictionary
data_dict = {'KATHMANDU': 100, 'LALITPUR': 80, 'BHAKTAPUR': 60}
# Convert to list of dicts for Plotly
data = [{'District': k, 'Value': v} for k, v in data_dict.items()]

fig = px.choropleth_mapbox(
    data_frame=data,
    geojson=nepal_geojson,
    locations='District',
    featureidkey="properties.DISTRICT", # Using the backward-compatible key
    color='Value',
    center={"lat": 28.3949, "lon": 84.1240},
    mapbox_style="carto-positron",
    zoom=6,
    title="Nepal District Density Map"
)
fig.show()

API Reference

get_districts()

Returns a sorted list of all 77 district names (UPPERCASE).

get_district(name)

Returns the GeoJSON feature for a district.

• name: Name of the district (case-insensitive).
• Returns: Dictionary with type, properties, and geometry.

get_province_districts(province_id)

Returns a list of district names in a specific province.

• province_id: Integer ID of the province (1-7).

get_municipalities(district_name=None)

Returns a list of municipality names.

• district_name (Optional): If provided, filters the list to return only municipalities within that district.
• Returns: Sorted list of strings.

get_municipality(name)

Returns the GeoJSON feature for a specific municipality.

• name: Name of the municipality (English, case-insensitive).

get_geojson() / get_provinces_geojson() / get_municipalities_geojson()

Returns the complete raw GeoJSON FeatureCollection for Districts, Provinces, or Municipalities respectively.

Contributing

We welcome contributions! GitHub Repository: https://github.com/bedbyaspokhrel/nepal-geo-data

License

MIT License - see the LICENSE file for details.

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Keywords: Nepal GIS, Nepal Map Python, GeoJSON Nepal, Nepal Districts Data, Nepal Municipalities, Local Level Nepal, Gaunpalika, Nepal Provinces JSON, Python GIS Nepal.