Latest Contributions by MehdiPira1

Hi Connor Vincent‌, Here's the script that updates a feature layer/service attribute (room status) based on the current date, start date and end date. You just need to change the variables first. from arcgis import GIS import datetime gis = GIS('url', 'username', 'password', verify_cert=False) #search for the feature layer/service featureLayer_item = gis.content.search('type: "Feature Service" AND title:"xxxxxxxx"') #access the item's feature layers feature_layers = featureLayer_item[0].layers flayer = feature_layers[0] #query all the features and get the spatial dataframe fset = feature_layers[0].query() flayer_rows = fset.sdf # Updating feature service's attribute based on the current date, start date and end date for index, row in flayer_rows.iterrows(): today = datetime.datetime.today() if row['start_date'] <= today <= row['end_date']: print("Updating feature layer ....") fset.features[0].attributes['roomstatus'] = 'Vacant' flayer.edit_features(updates = fset.features) print("Feature layer is set to Occupied!") else: print("Updating feature layer ....") fset.features[0].attributes['roomstatus'] = 'Occupied' flayer.edit_features(updates = fset.features) print("Feature layer is set to Vacant!")‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

Hi Frances Biles‌, I also tested this Split Raster tool and no success in getting the overlap to work.  However, if you are now after a result I can recommend using the buffer tool to buffer your split polygons to whatever distance. Then apply the Split Raster tool (this time, leave the overlap 0) on the buffered polygons and the raster. you will get split rasters with overlaps based on the specified distance in your buffering geo-process. ... View more

Hi Benjamin Mittler‌, Here's the code you can use to append to a hosted feature layer from a gdb feature class. You just need to change/update, add/delete the attributes based on your hosted feature layer and your gdb feature class attributes and change other variables too. from arcgis import GIS import pandas as pd from arcgis.features import GeoAccessor, GeoSeriesAccessor from arcgis import geometry from copy import deepcopy gis = GIS('url', 'username', 'password') sdf_to_append = pd.DataFrame.spatial.from_featureclass(r"path to gdb feature class") #search for the hosted feature layer/service featureLayer_item = gis.content.search('type: "Feature Service" AND title:"xxxxx"') #access the item's feature layers feature_layers = featureLayer_item[0].layers #query all the features fset = feature_layers[0].query() features_to_be_added = [] template_hostedFeature = deepcopy(fset.features[0]) for index, row in sdf_to_append.iterrows(): x = sdf_to_append.loc[index]['SHAPE']['x'] y = sdf_to_append.loc[index]['SHAPE']['y'] new_feature = deepcopy(template_hostedFeature) input_geometry = {'y':float(y), 'x':float(x)} output_geometry = geometry.project(geometries = [input_geometry], in_sr = 3857, out_sr = 3857, gis = gis) # assign the updated values new_feature.geometry = output_geometry[0] new_feature.attributes['HoleID'] = row['HoleID'] new_feature.attributes['Project'] = row['Project'] new_feature.attributes['InterFrom'] = row['InterFrom'] new_feature.attributes['InterTo'] = row['InterTo'] new_feature.attributes['Grade'] = row['Grade'] new_feature.attributes['GramMetre'] = row['GramMetre'] new_feature.attributes['RegoProf'] = row['RegoProf'] new_feature.attributes['MidPoint'] = row['MidPoint'] new_feature.attributes['IntercptNo'] = row['IntercptNo'] new_feature.attributes['Overlap'] = row['Overlap'] new_feature.attributes['EndDate'] = row['EndDate'] new_feature.attributes['EAST'] = row['EAST'] new_feature.attributes['NORTH'] = row['NORTH'] new_feature.attributes['RL'] = row['RL'] new_feature.attributes['Width'] = row['Width'] features_to_be_added.append(new_feature) feature_layers[0].edit_features(adds = features_to_be_added) print("Hosted feature layer is updated with gdb feature class!") ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ I hope that's helpful. ... View more