.from_layer Converting feature service table to pandas dataframe.

AnooshehTarassoly

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])

AlbertoCañivano

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 <SPAN class="operator token">=</SPAN> gis<SPAN class="punctuation token">.</SPAN>content<SPAN class="punctuation token">.</SPAN><SPAN class="keyword token">get</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="string token">"xyz"</SPAN><SPAN class="punctuation token">)</SPAN>
foto <SPAN class="operator token">=</SPAN> <SPAN class="punctuation token">(</SPAN>item<SPAN class="punctuation token">.</SPAN>tables<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">[</SPAN><SPAN class="number token">1</SPAN><SPAN class="punctuation token">]</SPAN>
field_service_dataframe <SPAN class="operator token">=</SPAN> pd<SPAN class="punctuation token">.</SPAN>DataFrame<SPAN class="punctuation token">.</SPAN>spatial<SPAN class="punctuation token">.</SPAN><SPAN class="token function">from_layer</SPAN><SPAN class="punctuation token">(</SPAN>foto<SPAN class="punctuation token">)</SPAN>‍‍‍‍‍‍<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Any ideas? Thanks