topic Updating polygon features from a feature layer in arcgis API Python in ArcGIS Online Questions

Updating polygon features from a feature layer in arcgis API Python

afana1972 — Sat, 03 Apr 2021 08:25:14 GMT

Hi all,

I'm trying to replicate the code published by ESRI in https://developers.arcgis.com/python/sample-notebooks/updating-features-in-a-feature-layer/ . In the link example, they use point geometry, but in my case I’m trying to update polygon geometry. I have updated the code to work with polygon geometry but I’m receiving the following error "None of [Index([('SHAPE',)], dtype='object')] are in the [columns]", which is related to the input geometry line in my code.

my code is

# complete the updates from arcgis import geometry #use geometry module to project the records from copy import deepcopy for cr_id in overlap_rows['cr_id']: # get the feature to be updated original_feature = [f for f in all_features if f.attributes['cr_id'] == cr_id][0] feature_to_be_updated = deepcopy(original_feature) print(str(original_feature)) # get the matching row from the update layer () matching_row = CRID_New_ly_FS2.where(CRID_New_ly_FS2.cr_id == cr_id).dropna() #get geometries in the destination coordinate system input_geometry = {'rings': float(matching_row[[['SHAPE']]])} output_geometry = geometry.project(geometries = [input_geometry], in_sr = CRID_Old_FS.spatial_reference['wkid'], out_sr = CRID_Old_FS.spatial_reference['latestWkid'], gis = gis1) # assign the updated values feature_to_be_updated.geometry = output_geometry[0] feature_to_be_updated.attributes['cr_id'] = int(matching_row['cr_id']) feature_to_be_updated.attributes['C31013'] = matching_row['C31013'].values[0] feature_to_be_updated.attributes['big_shape'] = matching_row['big_shape'].values[0] feature_to_be_updated.attributes['site_name'] = matching_row['site_name'].values[0] feature_to_be_updated.attributes['awh_stage'] = int(matching_row['awh_stage']) feature_to_be_updated.attributes['awh_package'] = int(matching_row['awh_package']) # #add this to the list of features to be updated features_for_update.append(feature_to_be_updated) # print(str(feature_to_be_updated)) print("========================================================================")

Any suggestions?

many thanks

Ash

Re: Updating polygon features from a feature layer in arcgis API Python

DanPatterson — Sat, 03 Apr 2021 09:50:38 GMT

did you check the nesting depth in

input_geometry = {'rings': float(matching_row[[['SHAPE']]])}

throw a print statement in to see if you are getting the appropriate content

Re: Updating polygon features from a feature layer in arcgis API Python

afana1972 — Sat, 03 Apr 2021 11:50:49 GMT

Hi Dan,

Thanks for your reply.

I think your comment triggered me to print every step in my code and I think the problem reside in the dictionary format resulted from the "input_geometry" line code.

The matching_row is a record, which contains the SHAPE attribute. So the code should be

input_geometry = {'rings': matching_row['SHAPE']}. However, printing one record, will produce the ploygon geometry {"rings": [[[-149459.83432124555, 6834762.7625... }Name: SHAPE, dtype: geometry. The problem is how to access the dictionary values of [[[]]]?

Ashraf,

Re: Updating polygon features from a feature layer in arcgis API Python

MehdiPira1 — Mon, 13 Sep 2021 03:46:57 GMT

@afana1972 ,

The following code snippet should work.

You just need to change the layer names and variables accordingly.

from arcgis import geometry #use geometry module to project the records from copy import deepcopy original_item = gis.content.get("item_id") original_layers = original_item.layers fLyr = original_item.layers[0] fset = fLyr.query() new_item = gis.content.get("item_id") new_fLyr = new_item.layers[0] new_fset = new_fLyr.query() new_fset_features = new_fLyr.query().features new_flayer_rows = new_fset.sdf features_to_be_added = [] template_hostedFeature = deepcopy(fset.features[0]) for index, row in new_flayer_rows.iterrows(): feature_to_be_updated = deepcopy(template_hostedFeature) input_geometry = new_fset_features[index].geometry output_geometry = geometry.project(geometries = [input_geometry], in_sr = fset.spatial_reference['wkid'], out_sr = fset.spatial_reference['latestWkid'], gis = gis1) # assign the updated values feature_to_be_updated.geometry = output_geometry[0] feature_to_be_updated.attributes['cr_id'] = int(row['cr_id']) feature_to_be_updated.attributes['C31013'] = row['C31013'].values[0] feature_to_be_updated.attributes['big_shape'] = row['big_shape'].values[0] feature_to_be_updated.attributes['site_name'] = row['site_name'].values[0] feature_to_be_updated.attributes['awh_stage'] = int(row['awh_stage']) feature_to_be_updated.attributes['awh_package'] = int(row['awh_package']) # #add this to the list of features to be updated features_to_be_added.append(feature_to_be_updated) original_layers[0].edit_features(adds = features_to_be_added)

I hope that's helpful.