Geopandas

The recorrding of a talk delivered during the GeoPython 2024 together with Joris Van den Bossche. GeoPandas is one of the core packages in the Python ecosystem to work with geospatial vector data and has recently released its first major version - 1.0. This talk will give an overview of recent developments in GeoPandas and the broader ecosystem and provide an outlook on where it is heading. GeoPandas is one of the core packages in the Python ecosystem to work with geospatial vector data. By combining the power of several open source geo tools (GEOS/Shapely, GDAL/pyogrio, PROJ/pyproj) and extending the pandas data analysis library to work with geographic objects, it is designed to make working with geospatial data in Python easier. Recently, the development that started more than ten years ago resulted in version 1.0. ...

The workshop organised during the GeoPython 2024 together with Joris Van den Bossche. After 10 years since the first release, GeoPandas reached version 1.0. This workshop will showcase how to get the most out of the recent enhancements and develop a code ready for 2024 and beyond. GeoPandas is one of the core components of the GeoPython ecosystem, providing the critical infrastructure to work with vector spatial data, usually reserved for the context of GIS, in Python. Although central to many applications and supporting many users, GeoPandas was technically not considered stable (even though it was practically for a long time). With GeoPandas 1.0, this is no longer the case, and the project has reached maturity and stability we can build upon in years to come. ...

We have released GeoPandas 1.0! Yes, I am excited and a bit relieved as it took a bit longer than expected. Anyway, it’s out and we’re waiting to hear what we broke 🙃. It is a major milestone for GeoPandas, not only in a semantic sense, but it literally closes a long development cycle. If you have been following the ecosystem for a while, you might know the story, but it is worth refreshing your memories. So, very briefly: ...

After 10 years since the first release, GeoPandas reached version 1.0. This workshop will showcase how to get the most out of the recent enhancements and develop a code ready for 2024 and beyond. Workshop resources are available on Github. Annotation GeoPandas is one of the core components of the GeoPython ecosystem, providing the critical infrastructure to work with vector spatial data, usually reserved for the context of GIS, in Python. Although central to many applications and supporting many users, GeoPandas was technically not considered stable (even though it was practically for a long time). With GeoPandas 1.0, this is no longer the case, and the project has reached maturity and stability we can build upon in years to come. ...

The GeoPandas team is racing towards the 1.0 release, nearly 10 years after 0.1 made it to PyPI. As with any major release, it brings some changes. This post highlights those I feel are the most important and invites you to test the 1.0.0-alpha1 and later rc versions before we let the stable version fly to the world. Please test! As of today, GeoPandas 1.0 is out as a pre-release 1.0.0-alpha1. If you read it during April or May 2024, please install the pre-release and test your code against it. If anything looks odd, please let us know! ...

With the release of Shapely 2.0, the GeoPandas-based code that have been optimised years ago may no longer provide the best performance. The workshop organised during the GeoPython 2023 together with Joris Van den Bossche showed how to change that and write efficient and convenient GeoPandas code that uses the benefits of the latest developments in the Python geospatial ecosystem. Workshop resources are available on Github. Annotation The Python geospatial ecosystem is constantly evolving, rushing towards better usability, new features, fewer bugs and increasing performance. As a result, the code that might have been optimised a few years ago may not provide the ideal experience today. Such a shift has recently happened in the GeoPandas world. After years of development, Shapely 2.0, a major refactoring of the famous Python wrapper of GEOS, came out in December 2022, switching the way how we think about vector geometry handling. From former scalar geometries requiring for-loops to go through, we can now interact with arrays of them in a performant vectorised manner. These developments directly affect how GeoPandas shall be used, which are the good practices and which are no longer up to speed. ...

The workshop organised during the GeoPython 2022 together with Joris Van den Bossche introduces the Dask-GeoPandas library and walks you through its key components, allowing you to take a GeoPandas workflow and run it in parallel, out-of-core and even distributed on a remote cluster. Workshop resources are available on Github. Annotation The geospatial Python ecosystem provides a nice set of tools for working with vector data, including Shapely for geometry operations and GeoPandas to work with tabular data (and many other packages for IO, visualization, domain specific processing, …). One of the limitations of those core tools is a sub-optimal performance and limited scaling possibilities. ...

This is a short story of one open-source algorithm and its journey from QGIS to mapclassify, to be used within GeoPandas. I am writing it to illustrate the flow within the open-source community because even though this happens all the time, we normally don’t talk about it. And we should. The story Sometimes last year, I asked myself a question. How hard would it be to port topological colouring tool from QGIS to be used with GeoPandas? Considering that this particular QGIS tool is written in Python, it seemed to be an easy task. ...