I have a dataframe of individual addresses with lat/long that I converted to a GeoPandas dataframe. I set the projection to the Contextily EPSG:3857 projection.
df = gpd.GeoDataFrame(df_vf, geometry=gpd.points_from_xy(df_vf.longitude,df_vf.latitude), crs='EPSG:3857')
df
file_state geometry
4588464 GA POINT (-84.20550 33.96780)
4668958 GA POINT (-81.21680 32.29210)
6530022 GA POINT (-84.98100 34.88710)
1936043 GA POINT (-84.42160 34.03330)
5649637 GA POINT (-83.83120 32.62850)
All of these individuals are in the state of Georgia, so these points look correct to me. I confirmed with df.crs
that the EPSG is 3857. I'm trying to plot the points on a contextily plot, using:
ax = df.plot(figsize=(10,10), alpha=0.5, edgecolor='k')
cx.add_basemap(ax, crs=df.crs.to_string(), zoom = 10)
Here is the resulting blank plot
I tried to follow the advice of other people who have had similar issues: Github issue, Stack Overflow issue by changing the source and zoom level but that hasn't resolved it.
The CRS of your geometries is not 3857 but 4326. Coordinates are clearly in degrees.