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Token required, Error 499 when trying to use Spatially Enabled Dataframe & ArcGIS Online (Jupyter)

Anonymous User

Hi,

When trying to use the Spatially Enabled Dataframe via a Jupyter Notebook:

sdf = pd.DataFrame.spatial.from_layer(featLayer)
sdf

I get the following error:

Exception: Could not load the dataset: Token Required
Token Required
(Error Code: 499)

My authentication to ArcGIS Online is OK, I can search and use content via the same authentication, but when i try the sdf, this error appears - does anyone have any suggestions?

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DanPatterson

this situation?

BUG-000136625: SpatialDataFrame.from_layer() returns the error: "Ex.. (esri.com)

Anonymous User

Hi,

That’s the exact error yes, but as my situation is specifically with ArcGIS Online would this solution still apply? Also, our org is active directory managed and built in users are prohibited.

Cheers,
Mark

DanPatterson

I would post an issue on their github site

Esri/arcgis-python-api: Documentation and samples for ArcGIS API for Python (github.com)

they don't visit here often

simoxu

Do you have access to that layer?

More details (code) will be helpful to pin-point the issue.

markjones6

Yeah, so the layer is owned by myself and I am admin on the AGOL organisation in question, so there shouldn’t be any authentication issue, in actual fact if I try to create a sdf in a notebook in AGOL itself, it works perfectly using the same item and code, so it appears to be the OAuth2 authentication.

Once I’ve authenticated using my client ID and have a token, I use the following:

item = gis.content.get("itemid")
featLayer = item.layers[0]

sdf = pd.DataFrame.spatial.from_layer(featlayer)

simoxu

I did a quick test on my portal, reproduced the error you are experiencing. It seems caused by the bug @DanPatterson mentioned above

We can only hope ESRI can get it fixed very soon.

In the meantime, except the "Alternative Solutions" mentioned by ESRI, another workaround is to Share the item to Everyone if it is an option.

DanPatterson

The workaround apparently, wasn't tested and since the status is New, then that is the only alternative for the moment

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