Python matplotlib example contour filled plot#
Software requirements:
Python 3
Numpy
matplotlib
cartopy
xarray
Run the filled contour example script:
python matplotlib_contour_filled.py
Script matplotlib_contour_filled.py:
"""
DKRZ matplotlib script: matplotlib_contour_filled.py
- filled contour over map plot
- rectilinear grid (lat/lon)
- colorbar
08.02.21 meier-fleischer(at)dkrz.de
"""
import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
def main():
#-- open netcdf file
ds = xr.open_dataset('/Users/k204045/Python/DKRZ_Python_Workshop/material/data/rectilinear_grid_2D.nc')
#-- create figure and axes object
fig = plt.figure(figsize=(12,12))
#-- choose map projection
ax = plt.axes(projection=ccrs.PlateCarree())
#-- add coastlines, country border lines, and grid lines
ax.coastlines(zorder=1)
#-- create states outlines
states_provinces = cfeature.NaturalEarthFeature(category='cultural',
name='admin_1_states_provinces_lines',
scale='50m',
facecolor='none')
ax.add_feature(cfeature.BORDERS, linewidth=0.6, edgecolor='gray', zorder=2)
ax.add_feature(states_provinces, edgecolor='gray', zorder=3)
ax.gridlines(draw_labels=True,
linewidth=0.5,
color='gray',
xlocs=range(-180,180,30),
ylocs=range(-90,90,30),
zorder=4)
#-- add title
ax.set_title('Temperature', fontsize=12, fontweight='bold')
#-- create contour line plot
cnplot = ax.contourf(ds.lon, ds.lat, ds.tsurf[0,:,:],
cmap='jet',
levels=15,
zorder=0,
transform=ccrs.PlateCarree())
#-- add colorbar
cbar = plt.colorbar(cnplot, orientation='horizontal',
pad=0.05, shrink=0.7)
cbar.set_label('K')
#-- save graphic output to PNG file
plt.savefig('plot_matplotlib_contour_filled_rect.png',
bbox_inches='tight',
dpi=100)
if __name__ == '__main__':
main()