I am new to geopandas. I am trying to plot the locations of bays and gulfs. I have a csv file containing their names. After geocoding and finding their locations, I tried to plot the points on a world map.

import geopandas as gpd
import pandas as pd
import numpy as np
from geopandas.tools import geocode
data=pd.read_csv("Bays and Gulfs of the World.csv")
def geocoder(row):
        point = geocode(row, provider='nominatim',user_agent="my_application").geometry.iloc[0]
        return pd.Series({'Latitude': point.y, 'Longitude': point.x, 'geometry': point})
        return None

data[['Latitude', 'Longitude', 'geometry']] = data.apply(lambda x: geocoder(x['Gulf/Bay']), axis=1)
world_map= gpd.read_file("Worldshpfile")
world_map.crs = {'init': 'epsg:4326'}
map_bays_gulf.crs = {'init': 'epsg:4326'}

When I don't enter the ax parameter's value, everything goes fine. But after giving ax, the following error shows up. Can't figure out the reason.

AttributeError                            Traceback (most recent call last)
<ipython-input-24-b8b5e5eee861> in <module>
      3 world_map.crs = {'init': 'epsg:4326'}
      4 map_bays_gulf.crs = {'init': 'epsg:4326'}
----> 5 world_map.plot(ax=world_map)
      6 map_bays_gulf.plot()

AttributeError: 'GeoDataFrame' object has no attribute 'set_aspect'

1 Answer 1


To make a map with more than one layers as is your case (the base worl_map layer and the overlay map_bays_gulf) there are at least two posible options as it's explained in the documentation of GeoPandas.

  • Assign the output of the plot method to a variable and use it as the ax parameter of the second call to plot
  • Create a Axes object calling plt.subplots(), and using it as the ax parameter for both calls to plot

So this will work:

base = world_map.plot(color='white', edgecolor='black')
map_bays_gulf.plot(ax=base, marker='o', color='red', markersize=5)

And this should also work:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

world_map.plot(ax=ax, color='white', edgecolor='black')
map_bays_gulf.plot(ax=ax, marker='o', color='red', markersize=5)


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