DataFrame spatial plot not changing Arcgis map

Question

I'm trying to plot heat-map of the pandas.df over a Arcgis gray map in jupyter notebook, but the map is not changing (not matter what render style). maybe because: (?) In the anaconda prompt jupyter nbextension list - Validating: problems found: require? X arcgis/mapview The problem is the same also after I create new env in jupyter and install arcgis again. df = pd.read_csv(csv_path)sdf = pd.DataFrame.spatial.from_xy(prop_df, 'LONGITUDE','LATITUDE')some_map = gis.map('Portland, OR')some_map .basemap = 'streets'some_map sdf.spatial.plot(map_widget=some_map )

Miguel-Fernandez · Answer

I am also experiencing the same issue. # Convert pandas dataframe to Esri's spatially enabled dataframe sdf = pd.DataFrame.spatial.from_xy(df1, 'longitude', 'latitude')‍‍ from arcgis.gis import * gis = GIS() m = GIS().map() m.center = [36.081179, -79.556955] m.zoom = 9 m # Add sdf to the map sdf.spatial.plot(kind='map', map_widget=m)‍‍‍‍‍‍‍‍‍‍‍‍‍ Line 13 returns True with no update to the map. Any guidance or tips would be appreciated. #arcgisapiforpython‌ #arcgisapi‌ #arcgis api for python 1.6.2‌ #python3.6‌

ChristopherLaBorde · Answer

I'm having the same problem, following Atma Mani‌'s tutorial from the GeoDevPDX2018 talk in the jupyter notebook on github..

prop_sdf.spatial.plot(map_widget=pdx_map)
returns True

but doesn't update the map with colored dots.