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CI: (deps): Bump geopandas from 0.14.4 to 1.0.1 in /ci #3559

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Aug 29, 2024
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CI: (deps): Bump geopandas from 0.14.4 to 1.0.1 in /ci #3559

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efca0a9
CI: (deps): Bump geopandas from 0.14.4 to 1.0.1 in /ci
dependabot[bot] Aug 29, 2024
b67ef63
MNT: Update `op` parameter to `predicate`
dopplershift Aug 29, 2024
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2 changes: 1 addition & 1 deletion ci/doc_requirements.txt
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Expand Up @@ -4,5 +4,5 @@ sphinx-design==0.6.1
sphinx-gallery==0.17.1
myst-parser==4.0.0
netCDF4==1.7.1
geopandas==0.14.4
geopandas==1.0.1
rtree==1.3.0
2 changes: 1 addition & 1 deletion examples/plots/nhc_wind_probabilities.py
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Expand Up @@ -57,7 +57,7 @@
# cities we selected above. Geopandas provides a spatial join method, which merges the two
# GeoDataFrames and can tell us which wind speed probability polygon each of our city points
# lies within. That information is stored in the 'PERCENTAGE' column below.
cities = geopandas.sjoin(cities, wind_data, how='left', op='within')
cities = geopandas.sjoin(cities, wind_data, how='left', predicate='within')
cities

###########################
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