You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have tried to use a list of tuples for coordinates when i use a list with more than 55k example, I am facing this problem then I try to take the rest of the list but only takes a thousand then I am facing the same issue.
The text was updated successfully, but these errors were encountered:
may consider to handle missing value, return with "none" on location, also returning exatly the same lat and lon values as read from source values. this is useful when merging back the result to original dataframe that has other columns than lat and lon.
found solution append it back to original df, if someone need it.
df["lat"], df["lon"],
df["name"], df["admin1"],
df["admin2"], df["cc"] = pd.DataFrame(reverse_geocoder(search(coordinate_in_tuple)).T.to_numpy()
I have tried to use a list of tuples for coordinates when i use a list with more than 55k example, I am facing this problem then I try to take the rest of the list but only takes a thousand then I am facing the same issue.
The text was updated successfully, but these errors were encountered: