[FIXED] How to get country border lines while plotting with imshow in python

Issue

I am trying to plot seasonal mean from a netcdf file using xarray and matplotlib. I am getting the plots with latitude and longitude axes but there is no country border line. How to obtain country border lines on the plots.

import xarray as xr
import matplotlib as mpl
import matplotlib.pyplot as plt

fname='/home/atmosphere/data/outputs/2010.nc'         #<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<

ds=xr.open_mfdataset(fname)
varlist=list(ds.variables)
imr=ds.sel(lat=slice(0,35),lon=slice(60,100)) #subsetting overthe region
imrbt=imr['temp']                             #making into a data array  
ds['time.season']

seasonal=imrbt.groupby('time.season').mean(dim='time')
seasonal.plot.imshow(col='season',robust=True)

Solution

As @Bart mentioned, you have to use [cartopy][1] to solve this issue:

import cartopy.crs as ccrs
air = xr.tutorial.open_dataset('air_temperature').air
ax = plt.axes(projection=ccrs.Orthographic(-80, 35))
seasonal.plot.contourf(ax=ax, transform=ccrs.PlateCarree())
ax.add_feature(cartopy.feature.BORDERS)
ax.coastlines()

To add country borders in higher resolution you have to use cartopy features:

import cartopy.feature as cfeature

country_borders = cfeature.NaturalEarthFeature(
    category='cultural',
    name='admin_0_boundary_lines_land',
    scale='50m',
    facecolor='none')
ax.add_feature(country_borders, edgecolor='gray')

Answered By - dl.meteo