#geopandas — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geopandas, aggregated by home.social.
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GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
GeoPandas: Canonical paper: #GeoPandas finally has its #canonicalpaper, two years after the 1.0 release it was meant to accompany. Martin Fleischmann and seven co-authors lay out the library’s history, core components, and #openscience roadmap in a #openaccess article at...
https://spatialists.ch/posts/2026/08/20-geopandas-canonical-paper/ #GIS #GISchat #geospatial #SwissGIS -
RE: https://fosstodon.org/@geopandas/117112554571679594
📚 Look what GeoPandas has for the geospatial community! An academic paper 📄 covering the history ⌛ of the project, its core data structures and its influence on the wider geospatial Python ecosystem 🐍🗺️.
It is open access 🔓 and offers a useful reference for researchers and others working with GeoPandas.
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RE: https://fosstodon.org/@geopandas/117112554571679594
📚 Look what GeoPandas has for the geospatial community! An academic paper 📄 covering the history ⌛ of the project, its core data structures and its influence on the wider geospatial Python ecosystem 🐍🗺️.
It is open access 🔓 and offers a useful reference for researchers and others working with GeoPandas.
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RE: https://fosstodon.org/@geopandas/117112554571679594
📚 Look what GeoPandas has for the geospatial community! An academic paper 📄 covering the history ⌛ of the project, its core data structures and its influence on the wider geospatial Python ecosystem 🐍🗺️.
It is open access 🔓 and offers a useful reference for researchers and others working with GeoPandas.
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RE: https://fosstodon.org/@geopandas/117112554571679594
📚 Look what GeoPandas has for the geospatial community! An academic paper 📄 covering the history ⌛ of the project, its core data structures and its influence on the wider geospatial Python ecosystem 🐍🗺️.
It is open access 🔓 and offers a useful reference for researchers and others working with GeoPandas.
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#TodayILearned that if you do a .dissolve() on a #geopandas #GeoDataFrame "by" a certain column, it becomes "an index" thus, kind of hidden. You can regain access to it with .reset_index()
Also, when merging two gdfs it can be useful to first select just the relevant columns from one of them, in order to preserve the geometry column of the other...
...at least this is how it looks like how it worked for me...
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#TodayILearned that if you do a .dissolve() on a #geopandas #GeoDataFrame "by" a certain column, it becomes "an index" thus, kind of hidden. You can regain access to it with .reset_index()
Also, when merging two gdfs it can be useful to first select just the relevant columns from one of them, in order to preserve the geometry column of the other...
...at least this is how it looks like how it worked for me...
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#TodayILearned that if you do a .dissolve() on a #geopandas #GeoDataFrame "by" a certain column, it becomes "an index" thus, kind of hidden. You can regain access to it with .reset_index()
Also, when merging two gdfs it can be useful to first select just the relevant columns from one of them, in order to preserve the geometry column of the other...
...at least this is how it looks like how it worked for me...
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#TodayILearned that if you do a .dissolve() on a #geopandas #GeoDataFrame "by" a certain column, it becomes "an index" thus, kind of hidden. You can regain access to it with .reset_index()
Also, when merging two gdfs it can be useful to first select just the relevant columns from one of them, in order to preserve the geometry column of the other...
...at least this is how it looks like how it worked for me...
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I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas -
I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas -
I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas -
I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas -
#SãoPaulo map made with #geopandas + #folium + social vulnerabilirty index data from GeoSampa. A heavy but interactive version at https://abav.lugaralgum.com/sketch-a-day/2026/sketch_2026_06_02/mapa.html
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_06_02 #Python -
#SãoPaulo map made with #geopandas + #folium + social vulnerabilirty index data from GeoSampa. A heavy but interactive version at https://abav.lugaralgum.com/sketch-a-day/2026/sketch_2026_06_02/mapa.html
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_06_02 #Python -
#SãoPaulo map made with #geopandas + #folium + social vulnerabilirty index data from GeoSampa. A heavy but interactive version at https://abav.lugaralgum.com/sketch-a-day/2026/sketch_2026_06_02/mapa.html
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_06_02 #Python -
#SãoPaulo map made with #geopandas + #folium + social vulnerabilirty index data from GeoSampa. A heavy but interactive version at https://abav.lugaralgum.com/sketch-a-day/2026/sketch_2026_06_02/mapa.html
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_06_02 #Python -
The #openriskacademy course Introduction to #GeoJSON has been updated. The update expanded several sections, added examples with #geopandas and fixed some broken links. Enjoy! www.openriskacademy.com/course/view....
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The #openriskacademy course Introduction to #GeoJSON has been updated. The update expanded several sections, added examples with #geopandas and fixed some broken links. Enjoy! www.openriskacademy.com/course/view....
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The #openriskacademy course Introduction to #GeoJSON has been updated
This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of #geospatial features.
The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and basic knowledge of #Python. The update expanded several sections, added examples with #geopandas and fixed some broken links.
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The #openriskacademy course Introduction to #GeoJSON has been updated
This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of #geospatial features.
The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and basic knowledge of #Python. The update expanded several sections, added examples with #geopandas and fixed some broken links.
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The #openriskacademy course Introduction to #GeoJSON has been updated
This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of #geospatial features.
The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and basic knowledge of #Python. The update expanded several sections, added examples with #geopandas and fixed some broken links.
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The #openriskacademy course Introduction to #GeoJSON has been updated
This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of #geospatial features.
The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and basic knowledge of #Python. The update expanded several sections, added examples with #geopandas and fixed some broken links.
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City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
Meh, anyone know how to fix illegal polygons like this in geopandas? I guess there's no fixing this though, this is someone uploading a bad fire perimeter they drew in Google Earth, no doubt. #gis #python #geopandas
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Meh, anyone know how to fix illegal polygons like this in geopandas? I guess there's no fixing this though, this is someone uploading a bad fire perimeter they drew in Google Earth, no doubt. #gis #python #geopandas
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Meh, anyone know how to fix illegal polygons like this in geopandas? I guess there's no fixing this though, this is someone uploading a bad fire perimeter they drew in Google Earth, no doubt. #gis #python #geopandas
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Meh, anyone know how to fix illegal polygons like this in geopandas? I guess there's no fixing this though, this is someone uploading a bad fire perimeter they drew in Google Earth, no doubt. #gis #python #geopandas
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@pyohio I'm going strong on my daily creative coding sketches, I usually do them with Python and the #py5 library, and this year it has been all smooth sailing: https://abav.lugaralgum.com/sketch-a-day
Also some #geopandas, #OSMnx and #Folium fun at our local hackerspace here in São Paulo #GaroaHackerClube. I've heard that PyOhio is one of the most welcoming US regional conferences, maybe one day I get the chance to join you :)
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@pyohio I'm going strong on my daily creative coding sketches, I usually do them with Python and the #py5 library, and this year it has been all smooth sailing: https://abav.lugaralgum.com/sketch-a-day
Also some #geopandas, #OSMnx and #Folium fun at our local hackerspace here in São Paulo #GaroaHackerClube. I've heard that PyOhio is one of the most welcoming US regional conferences, maybe one day I get the chance to join you :)
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@pyohio I'm going strong on my daily creative coding sketches, I usually do them with Python and the #py5 library, and this year it has been all smooth sailing: https://abav.lugaralgum.com/sketch-a-day
Also some #geopandas, #OSMnx and #Folium fun at our local hackerspace here in São Paulo #GaroaHackerClube. I've heard that PyOhio is one of the most welcoming US regional conferences, maybe one day I get the chance to join you :)
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@pyohio I'm going strong on my daily creative coding sketches, I usually do them with Python and the #py5 library, and this year it has been all smooth sailing: https://abav.lugaralgum.com/sketch-a-day
Also some #geopandas, #OSMnx and #Folium fun at our local hackerspace here in São Paulo #GaroaHackerClube. I've heard that PyOhio is one of the most welcoming US regional conferences, maybe one day I get the chance to join you :)
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Baixamos uns dados do GeoSampa e experimentamos um pouco com #OSMnx e #GeoPandas + #Folium
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Baixamos uns dados do GeoSampa e experimentamos um pouco com #OSMnx e #GeoPandas + #Folium
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Baixamos uns dados do GeoSampa e experimentamos um pouco com #OSMnx e #GeoPandas + #Folium
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Baixamos uns dados do GeoSampa e experimentamos um pouco com #OSMnx e #GeoPandas + #Folium
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GeoPandas. Reading and writing files
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GeoPandas. Reading and writing files
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GeoPandas. Reading and writing files
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GeoPandas. Reading and writing files
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Map Application Using Python, GeoJSON, and Folium
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Map Application Using Python, GeoJSON, and Folium
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Map Application Using Python, GeoJSON, and Folium
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Map Application Using Python, GeoJSON, and Folium
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How to Access Built-In GeoPandas Datasets
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Deep dive on pruning: Dewey Dunnington’s latest blog post dives deep into how pruning, the selective reading of relevant data, makes #GeoParquet blazing fast in both local and #cloudnative contexts. Featuring hands-on comparisons across #SedonaDB, #DuckDB, #GeoPandas,...
https://spatialists.ch/posts/2025/12/16-deep-dive-on-pruning/ #GIS #GISchat #geospatial #SwissGIS