Not only @geopandas 1.0 was released today. dask-geopandas 0.4 with initial support of dask-expr query planning is now on PyPI and on its way to conda-forge. #ReleaseDay 🚀
24.6.2024 20:36Not only @geopandas 1.0 was released today. dask-geopandas 0.4 with initial support of dask-expr query planning is now on PyPI and on its...Today is the release day! 🎉
GeoPandas 1.0 is out and available on both conda-forge and PyPI. We have a lot of new stuff for you and some major changes.
- API parity with Shapely
- Support for GeoArrow and GeoParquet 1.1
- Coverage unions
- Predicate checks for “distance within X”
- Shapely 2 only
- PyOGRIO instead of Fiona
- Removed geopandas.datasets
- + many more. See the release notes - https://github.com/geopandas/geopandas/releases/tag/v1.0.0
pip install geopandas==1.0.0
conda install geopandas==1.0.0 -c conda-forge
24.6.2024 17:29Today is the release day! 🎉 GeoPandas 1.0 is out and available on both conda-forge and PyPI. We have a lot of new stuff for you and some...GeoPandas 1.0.0rc1 is out! This is likely our last pre-release before 1.0. Please test your applications against it to catch some last minute bugs.
pip install geopandas==1.0.0rc1
or
conda install geopandas -c conda-forge/label/geopandas_dev
See the release notes for detailed list of changes https://github.com/geopandas/geopandas/releases/tag/v1.0.0rc1 or this blogpost for some highlights https://martinfleischmann.net/geopandas-1.0-is-coming.-what-will-change/.
18.6.2024 10:57GeoPandas 1.0.0rc1 is out! This is likely our last pre-release before 1.0. Please test your applications against it to catch some last...The first pre-release of GeoPandas 1.0 is out! 🎉
Please help us test the alpha version to catch all the nasty bugs that may be there. You can install it from PyPI using `pip install geopandas --pre -U`. To get an idea about the changes, you can check the changelog - https://github.com/geopandas/geopandas/releases/tag/v1.0.0-alpha1 or a blogpost by @martinfleis - https://martinfleischmann.net/geopandas-1.0-is-coming.-what-will-change/. All the API changes are (hopefully) included and further pre-releases shall not change any behavior. It is time to test now!
13.4.2024 21:17The first pre-release of GeoPandas 1.0 is out! 🎉Please help us test the alpha version to catch all the nasty bugs that may be there. You...GeoPandas 0.14 is out! 🎉
It comes with a handful of new methods, some bug fixes, and a final step in the deprecation of PyGEOS and Shapely<2. If you have both PyGEOS and Shapely 2 installed, GeoPandas 0.14 will no longer use PyGEOS by default. It is also likely the last minor release before 1.0 will come early next year, which will completely remove the support of PyGEOS.
See the release notes (https://geopandas.org/en/stable/docs/changelog.html#version-0-14-sep-15-2023) to learn more.
Available now from PyPI and conda-forge.
15.9.2023 14:24GeoPandas 0.14 is out! 🎉It comes with a handful of new methods, some bug fixes, and a final step in the deprecation of PyGEOS and...This is the last release that defaults to the PyGEOS engine over Shapely, and by GeoPandas 1.0, PyGEOS will not be supported anymore. If you are not using PyGEOS directly, everything will stay the same. If you use PyGEOS and access its geometries from GeoPandas, check our migration guide and update your code soon. https://geopandas.org/en/stable/docs/user_guide/pygeos_to_shapely.html
7.5.2023 19:50This is the last release that defaults to the PyGEOS engine over Shapely, and by GeoPandas 1.0, PyGEOS will not be supported anymore. If you...GeoPandas 0.13 is out! This new version comes with a couple of new features like a method to sample random points, sorting along a Hilbert curve or better support of GeoJSON specification. As always, the recommended way to install the new version is to use mamba or conda and the conda-forge channel. If you prefer pip, the release is also available on PyPI. For the full list of changes, see the release notes -> https://github.com/geopandas/geopandas/releases/tag/v0.13.0
7.5.2023 19:50GeoPandas 0.13 is out! This new version comes with a couple of new features like a method to sample random points, sorting along a Hilbert...We are excited to let you know that @geopandas was accepted as a NumFOCUS Sponsored Project recently. Our new Sponsored status means that you can directly support the development and maintenance of @geopandas also financially 💰. If you'd like to make a donation, head to https://numfocus.org/donate-for-geopandas or reach directly to us! Thank you NumFOCUS and everyone else!
4.5.2023 19:22We are excited to let you know that @geopandas was accepted as a NumFOCUS Sponsored Project recently. Our new Sponsored status means that...⬆️
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