Add a polygon to a Spatially Enabled Dataframe

Question

Hi, Sorry if this is a basic question but I can't seem to crack it. I am creating a Polygon feature from a list of xy values and want to add it to a Spatially Enabled Dataframe. How could I make a SEDF that holds the following polygon? import pandas as pd from arcgis.geometry import Polygon from arcgis.features import SpatialDataFrame shape = { "rings": [[[-90.0, 30.0], [-91.0, 30.0], [-90.0, 31.0]]], "spatialreference" : {"wkid" : 4326}} polygonFeature = Polygon(shape) print(polygonFeature.is_valid) df = pd.DataFrame()‍‍‍‍‍‍‍‍‍‍‍‍‍ The polygon created from the values is valid, I'm just not sure how I could add it to an SEDF and then append additional polygons. Thanks for any help!

MehdiPira1 · Accepted Answer

Hi Matthew Thompson‌, You can use the following code to create a spatial dataframe from the shape: from arcgis import GIS from arcgis.features import SpatialDataFrame, Feature, FeatureSet import pandas as pd from arcgis import geometry shape = { "rings": [[[-90.0, 30.0], [-91.0, 30.0], [-90.0, 31.0]]], "spatialreference" : {"wkid" : 4326}} polygonFeature = Polygon(shape) polygon_new = Feature(geometry=polygonFeature, attributes={"title": "Polygon test", "description": "This is a test",}) #Create a featureset to access spatial dataframe polygon_fset = FeatureSet(features = [polygon_new], geometry_type="Polygon", spatial_reference={'latestWkid': 4326, 'wkid': 102100}) polygon_fset.sdf‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ----------------------------------------------------------------------------------------------------------------------------------------------- Please mark as helpful if you find it helpful. If it answered your question please mark it as answered.