topic Re: .from_layer Converting feature service table to pandas dataframe. in ArcGIS API for Python Questions

.from_layer Converting feature service table to pandas dataframe.

AnooshehTarassoly — Tue, 12 May 2020 17:15:08 GMT

The conversion of a table to a pandas spatial data-frame recently stopped working for us. Was there a change to the API recently? Is there a limit on the number of records this function can process? Other datasets of ours are working fine with the same code. Here is what we are trying:

feature_layers = gis.content.get('xxxxxxxxxxxxxxxxxxxxxxxxxxxxx')

data = pd.DataFrame.spatial.from_layer(feature_layers.tables[0])

Re: .from_layer Converting feature service table to pandas dataframe.

JoshuaBixby — Tue, 12 May 2020 19:02:44 GMT

stopped working for us

It helps to elaborate. Are you getting an error or unexpected results? If you are getting an error, what is the error? If unexpected results, what are those?

Re: .from_layer Converting feature service table to pandas dataframe.

AlbertoCañivano — Sun, 12 Dec 2021 10:58:32 GMT

It's the same for me. The mistake I get is:

"Could not load the dataset: 'PropertyMap' instance has no attribute 'drawingInfo' "

I'm trying to pass a table instead of a layer, with layers it works but I need to read a table

item = gis.content.get("xxxxxxxxxxx")
foto = (item.tables)[1]
field_service_dataframe = pd.DataFrame.spatial.from_layer(foto)‍‍‍‍‍‍‍‍‍

Any ideas? Thanks