Plotting with Geo Pandas

[Back] Python Geo Pandas allows Python to work with geospatial data.

Pandas axis

Plotting:

View image [SVG] View image [PNG]

continent gdp_md_est \ 0 Asia 22270.0 1 Africa 110300.0 2 Europe 21810.0 3 Asia 184300.0 4 South America 573900.0 geometry iso_a3 \ 0 POLYGON ((61.21081709172574 35.65007233330923,... AFG 1 (POLYGON ((16.32652835456705 -5.87747039146621... AGO 2 POLYGON ((20.59024743010491 41.85540416113361,... ALB 3 POLYGON ((51.57951867046327 24.24549713795111,... ARE 4 (POLYGON ((-65.50000000000003 -55.199999999999... ARG name pop_est 0 Afghanistan 28400000.0 1 Angola 12799293.0 2 Albania 3639453.0 3 United Arab Emirates 4798491.0 4 Argentina 40913584.0

Source code

The following outlines the Python code used:

import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
import sys

import fiona.crs
from shapely.geometry import Point


file='1111'
val=0

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

cities = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))

if (val==0):
	print world.head()
	world.plot()
if (val==1):
	base = world.plot(color='white')
	cities.plot(ax=base, marker='o', color='red', markersize=5);	
if (val==2):
	world = world[(world.pop_est>0) & (world.name!="Antarctica")]
	world['gdp_per_cap'] = world.gdp_md_est / world.pop_est
	world.plot(column='gdp_per_cap');

f2=+file+".svg"

plt.savefig(f2,format='SVG')

f2= +file+".png"

plt.savefig(f2,format='PNG')

Plotting with Geo Pandas

Pandas axis

Source code

Demo