Converting spatially enabled dataframe to feature class returns empty feature class

Question

Greetings All,

I'm trying to do the following:

* Convert JSON results from OpenRouteService API into geodataframe
* Convert a geopandas geodataframe to a Spatially enabled dataframe (SEDF) using .from_geodataframe() 
* Export the SEDF to a feature class using .to_featureclass()

As the screenshot below shows, the conversion from geopandas GDF to ESRI SEDF is successful, but when I try exporting the SEDF to a feature class, the resulting feature class has no features in it.

Other notes

* I do have arcpy installed and imported it.
* I also tried exporting SEDF to SHP, but that also returns zero features.
* If I import a feature class to an SEDF then re-export the SEDF back to feature class, it works and I get the features as expected.
* There *is* a workaround if I do the following: convert SEDF to FeatureSet > FeatureSet to geojson > run JSON to features in arcgis pro. The feature class resulting from this does work and contains the features I expect. But this is clunky!
*

Has anyone else experienced this?

BillyHansen6 · Answer

Okay for me the problem was solved when I removed the date fields from my spatial dataframe. For some reason those were breaking the export.

BillyHansen6 · Answer

I'm having the same problem! Would love some help if anybody has an idea why this is happening.

DarrenConly · Answer

Could be. I read the thread you linked to. Problem is similar (issue going from SEDF to FC), but instead of my issue (writing empty FC), it seems to mangle the geometry when writing. Looking at the GitHub issue they opened, there will be a fix for the mangled geometry coming in January 2022, maybe that fix will also fix my problem?