geopandas
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 sy
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill geopandas --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 c
- Installation
- Optional Dependencies
- Quick Start
- Core Concepts
- Data Structures
- Reading and Writing Data
- Coordinate Reference Systems
- Common Operations
- Geometric Operations
- Spatial Analysis
- Visualization
- Detailed Documentation
- Common Workflows
- Load, Transform, Analyze, Export
uv pip install geopandas 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
What does the geopandas skill do?
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 sy
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill geopandas --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.