GeoPandas is a project to add support for geographic data to pandas objects.
The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS.
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Release files for geopandas 1.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geopandas-1.1.4.tar.gz | 337.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geopandas-1.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 680.7 kB
Release files / geopandas-1.1.4.tar.gz
| Download URL | geopandas-1.1.4.tar.gz |
|---|---|
| Size | 337.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / geopandas-1.1.4-py3-none-any.whl
| Download URL | geopandas-1.1.4-py3-none-any.whl |
|---|---|
| Size | 343.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
1a0c459cbdb1537cd154dafe6174be20d1760844b7f1c967dc8520b180f2e773
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59a8bd530cc264e62ddbc1d1bb7225823992e6f2432c664693e9281bb6b9c359
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 26, 2026.
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