Geopandas

GeoPandas is your go-to for working with shapefiles, GeoJSON, and other vector geographic data in Python. It extends pandas with spatial operations, so you can do buffer analysis, spatial joins, coordinate transformations, and overlay operations without leaving the dataframe paradigm. The skill covers everything from basic read/write operations to complex workflows like multi-source integration and PostGIS connections. One thing worth noting: it emphasizes using projected coordinate systems for area and distance calculations, which trips up a lot of people new to GIS work. The performance tips about Arrow acceleration for I/O and spatial indexing are genuinely useful if you're dealing with large datasets.

skills.sh installs: 2.1K
GitHub stars: 56.6K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill geopandas --agent claude-code

Installs into .claude/skills of the current project.

Files

GeoPandas

Use GeoPandas for planar vector data represented as pandas-like GeoSeries and GeoDataFrame objects. This skill targets stable GeoPandas 1.2.0 (released 2026-09-28). The stable website currently carries a development build label; release-specific behavior below was checked against the v1.2.0 source and wheel.

Reproducible environment

GeoPandas 1.2.0 requires Python 3.11+, NumPy >=2, pandas >=2.2, Shapely >=2.1, pyproj >=3.7, pyogrio >=0.8, and packaging. The current pyproj wheel below requires Python 3.12+. This exact Python 3.12 snapshot was smoke-tested on 2026-10-01:

uv venv --python 3.12
uv pip install \
  "geopandas==1.2.0" \
  "numpy==2.5.3" \
  "pandas==3.0.6" \
  "shapely==2.1.2" \
  "pyproj==3.8.0" \
  "pyogrio==0.13.0" \
  "pyarrow==25.0.1" \
  "packaging==26.3"

Keep optional plotting and PostGIS packages pinned in the project lock as well. Do not mix binary geospatial packages from incompatible package channels.