Creating / updating feature layer in ArcGIS Online from geopandas GeoDataFrame?

Question

Hi

Is it at all possible to create a feature layer in ArcGIS Online from a GeoDataFrame? If you cannot create a feature layer directly from a GeoDataFrame, is it possible to populate an existing feature layer from a GeoDataFrame (provided the fields match of course).

I tried all sorts of methods to create a feature layer directly using GeoJSON as the intermediary  - no luck. So then I tried to insert values (attributes and geometry) from a GeoDataFrame into an existing feature layer in AGOL, using GeoDataFrame.to_dict and then trying to add that dictionary to the feature layer using edit_features(adds=<my dictionary created from the GeoDataFrame>). No luck there either.

Anyone knows how this can be done?

Thanks

Hugo

ErickFox · Answer

There is a method using the arcgis api:

GeoAccessor.from_geodataframe(geo_df, inplace=False, column_name='SHAPE')

HugoBouckaert1 · Answer

That's very interesting, thanks!

J_R_Matchett · Answer

Here's a method I wrote for GeoDataFrame to return an arcgis spatially-enabled dataframe (SEDF): import warnings from arcgis.geometry import Geometry from arcgis.features import GeoAccessor, GeoSeriesAccessor from pandas import DataFrame from geopandas import GeoDataFrame def to_SpatialDataFrame(self, spatial_reference=None): """Returns an arcgis spatially-enabled data frame. Arguments: spatial_reference Either None or a spatial reference integer code. If None, the spatial reference will be extracted from the GeoDataFrame if it is defined using an EPSG code. """ if not spatial_reference: crs = self.crs epsg_code = crs.to_epsg() if epsg_code: spatial_reference = {'wkid': epsg_code} else: spatial_reference = {'wkid': 4326} warnings.warn('Unable to extract a spatial reference, assuming latitude/longitude (EPSG 4326).') else: spatial_reference = {'wkid': spatial_reference} sdf = DataFrame(data=self.drop(self.geometry.name, axis=1)) sdf['SHAPE'] = [Geometry.from_shapely(g, spatial_reference) for g in self.geometry.tolist()] sdf.spatial.set_geometry('SHAPE') return sdf GeoDataFrame.to_SpatialDataFrame = to_SpatialDataFrame ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ The resulting SEDF can then be published or used to update an existing feature layer.