I'm running a jupyter notebook and using spatially enabled data frames for the first time. When I export the data to a shapefile following the example here, I am getting the error below. The export does producing the shapefile I'm looking for. But I'd like to know how to avoid the error message, so that I can share a clean jupyter notebook.
Any insights would be appreciated.
Thanks
#Read csv as pandas dataframe (Monday)
Monday = pd.read_csv("Fall2018.csv", dtype={'BLDGCODE': 'str'})
#Import shapefile as Spatially Enabled Dataframe (Buildings)
Buildings = pd.DataFrame.spatial.from_featureclass("Shapefile/Building_Cartographic_Shape.shp")
#merge Monday data with Buildings polygons
MondayPolys = pd.merge(Monday, Buildings, how='left', on=['BLDGCODE'] , validate="one_to_many")
#Export to shapefile
MondayPolys.spatial.to_featureclass(location=r"Data/MondayPolys.shp")
ValueError Traceback (most recent call last)~\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\lib\site-packages\pandas\core\generic.py in __nonzero__(self) 1574 raise ValueError("The truth value of a {0} is ambiguous. " 1575 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."-> 1576 .format(self.__class__.__name__)) 1577 1578 __bool__ = __nonzero__ ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
