https://community.esri.com/t5/arcgis-api-for-python-questions/converting-a-spatial-data-frame-to-a-geopandas/m-p/1337890#M9143 <P>Perhaps the conversion is missing a piece to perform the required steps for curves. I do believe, however, shapely supports curves and geopandas uses shapely geometry.&nbsp;</P><P>If shape accuracy is not a concern, I would guess a quick way to get around this would be to generalize your shape data first before loading into a GeoDataFrame like so:</P><P>&nbsp;</P><LI-CODE lang="python">sdf["SHAPE"] = sdf.SHAPE.apply(lambda x: x.generalize(max_offset=10))</LI-CODE><P>&nbsp;</P><P>&nbsp;</P><P>Where the max_offset is a value of your choosing.</P> Fri, 13 Oct 2023 18:46:36 GMT EarlMedina 2023-10-13T18:46:36Z https://community.esri.com/t5/arcgis-api-for-python-questions/converting-a-spatial-data-frame-to-a-geopandas/m-p/1337763#M9141 <P>I'm trying to convert a spatial dataframe to a geopandas dataframe but get errors when the geometry contains 'curvedPaths'. If the geometry says 'paths' it works fine.</P><LI-CODE lang="python">sdf = pd.DataFrame.spatial.from_featureclass("tp_master_lyr") gdf = gpd.GeoDataFrame(sdf, geometry='SHAPE', crs=f"EPSG:{self.epsg_code}")</LI-CODE><P>&nbsp;Create the sdf from a layer, then convert the gdf using the geometry field. When I read the sdf that works I see this:<BR />0 1 B30 ... -43.801102 {"paths": [[[96887.0628000004, 4566105.1918],...<BR />1 2 B30 ... -41.706207 {"paths": [[[963429.4271999998, 4566111.741800...</P><P>Testing another dataset, the one that doesn't work and gives&nbsp;KeyError: 'paths':</P><P>0 1 ... {"curvePaths": [[[777739.0449999999, 4321271.9...<BR />1 2 ... {"curvePaths": [[[123521.7758999998, 4329860.0...</P><P>If the sdf has 'curvePaths' as the geometry type I get errors when trying to convert to a geodataframe. Any ideas how to get round this?</P> Fri, 13 Oct 2023 15:15:28 GMT https://community.esri.com/t5/arcgis-api-for-python-questions/converting-a-spatial-data-frame-to-a-geopandas/m-p/1337763#M9141 MattHowe 2023-10-13T15:15:28Z https://community.esri.com/t5/arcgis-api-for-python-questions/converting-a-spatial-data-frame-to-a-geopandas/m-p/1337890#M9143 <P>Perhaps the conversion is missing a piece to perform the required steps for curves. I do believe, however, shapely supports curves and geopandas uses shapely geometry.&nbsp;</P><P>If shape accuracy is not a concern, I would guess a quick way to get around this would be to generalize your shape data first before loading into a GeoDataFrame like so:</P><P>&nbsp;</P><LI-CODE lang="python">sdf["SHAPE"] = sdf.SHAPE.apply(lambda x: x.generalize(max_offset=10))</LI-CODE><P>&nbsp;</P><P>&nbsp;</P><P>Where the max_offset is a value of your choosing.</P> Fri, 13 Oct 2023 18:46:36 GMT https://community.esri.com/t5/arcgis-api-for-python-questions/converting-a-spatial-data-frame-to-a-geopandas/m-p/1337890#M9143 EarlMedina 2023-10-13T18:46:36Z