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geopandaslisted

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
aiskillstore/marketplace · ★ 334 · Data & Documents · score 80
Install: claude install-skill aiskillstore/marketplace
# GeoPandas GeoPandas extends pandas to enable spatial operations on geometric types. It combines the capabilities of pandas and shapely for geospatial data analysis. ## Installation ```bash uv pip install geopandas ``` ### Optional Dependencies ```bash # For interactive maps uv pip install folium # For classification schemes in mapping uv pip install mapclassify # For faster I/O operations (2-4x speedup) uv pip install pyarrow # For PostGIS database support uv pip install psycopg2 uv pip install geoalchemy2 # For basemaps uv pip install contextily # For cartographic projections uv pip install cartopy ``` ## Quick Start ```python import geopandas as gpd # Read spatial data gdf = gpd.read_file("data.geojson") # Basic exploration print(gdf.head()) print(gdf.crs) print(gdf.geometry.geom_type) # Simple plot gdf.plot() # Reproject to different CRS gdf_projected = gdf.to_crs("EPSG:3857") # Calculate area (use projected CRS for accuracy) gdf_projected['area'] = gdf_projected.geometry.area # Save to file gdf.to_file("output.gpkg") ``` ## Core Concepts ### Data Structures - **GeoSeries**: Vector of geometries with spatial operations - **GeoDataFrame**: Tabular data structure with geometry column See [data-structures.md](references/data-structures.md) for details. ### Reading and Writing Data GeoPandas reads/writes multiple formats: Shapefile, GeoJSON, GeoPackage, PostGIS, Parquet. ```python # Read with filtering gdf = gpd.read_file("data.gpkg", bbox=(xmin, ymi