Python contour line plot#
Software requirements:
Python 3.x
Numpy
matplotlib
cartopy
xarray
Example script#
matplotlib_contour_lines.py
#!/usr/bin/env python
# coding: utf-8
'''
DKRZ example
This example demonstrates how to plot colored contour lines on a map.
Content
- draw a map
- add coastlines, state borders and provinces, add gridlines
- draw colored contour lines
- add a colorbar
- save to PNG
-------------------------------------------------------------------------------
2022 copyright DKRZ licensed under CC BY-NC-SA 4.0 <br>
(https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
-------------------------------------------------------------------------------
'''
import numpy as np
import xarray as xr
import cartopy
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
def main():
#-- open netcdf file
ds = xr.open_dataset('../../data/rectilinear_grid_2D.nc')
plt.switch_backend('agg')
#-- create figure and axes object
fig, ax = plt.subplots(figsize=(12,12), subplot_kw=dict(projection=ccrs.PlateCarree()))
ax.set_title('Temperature', fontsize=10, fontweight='bold')
#-- add coastlines, country border lines, and grid lines
ax.coastlines()
ax.add_feature(cfeature.BORDERS, linewidth=0.6, edgecolor='dimgray')
ax.gridlines(draw_labels=True,
linewidth=0.5,
color='gray',
xlocs=range(-180,180,30),
ylocs=range(-90,90,30))
#-- create contour line plot
cnplot = ax.contour(ds.lon, ds.lat, ds.tsurf.isel(time=0),
linewidths=1.5,
cmap='jet',
levels=15,
transform=ccrs.PlateCarree())
#-- add colorbar
cbar = plt.colorbar(cnplot, pad=0.07, shrink=0.3)
cbar.set_label('K')
#-- save graphic output to PNG file
plt.savefig('plot_matplotlib_contour_lines_rect.png', bbox_inches='tight', dpi=100)
if __name__ == '__main__':
main()