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GeoAccessor.from_geodataframe() mangles geometries

See original GitHub issue

Describe the bug Using GeoAccessor.from_geodataframe() results in mangled geometries. It seems to happen on more complex polygons with many holes.

To Reproduce Steps to reproduce the behavior:

import geopandas as gpd
from arcgis import GIS
import requests
from arcgis.features import GeoAccessor

gis=GIS("",username, password)

base_url = ''

payload = {
'f': 'geojson',
'where': "SITE_NAME='Eglin Air Force Base'",
'outSR': 4326,
'outFields': '*'
response = requests.get(base_url, params=payload)

gdf=gpd.GeoDataFrame.from_features(response.json()['features'], crs="epsg:4326")

sedf=GeoAccessor.from_geodataframe(gdf, column_name="geometry")

lyr = sedf.spatial.to_featurelayer('test_poly')

Screenshots Source data: image After converting to a Spatially Enabled dataframe: image A closeup: image Result: image

Expected behavior I expect the geometries to stay the same.


  • OS: Windows 10
  • Browser: Chrome
  • Python API Version: 1.8.5

Additional context I tried the .buffer(0) method before converting to SEDF - didn’t work. I tried the make_valid() function from shapely.validation too, same result. Filling holes before converting to a spatially enabled dataframe worked, but it is not an acceptable solution.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Reactions:2
  • Comments:9 (4 by maintainers)

github_iconTop GitHub Comments

davidgrubmanchoicehotelscommented, Nov 9, 2021

Just for context, I have pretty much the same exact code as @manuela-butuc. Here is a screenshot of trying to upload the Census Subdivisions through a geodataframe and the sedf=GeoAccessor.from_geodataframe(gdf, column_name=“geometry”) command.


It does look kinda cool I must say.

achapkowskicommented, Sep 21, 2021

@manuela-butuc thank you for the code and sample, we’ll take a look at this and get back to you.

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