Created
December 2, 2021 16:06
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xarray pcolormesh and contour plotting of gridded 3d data
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import xarray as xr | |
import numpy as np | |
import matplotlib.pyplot as plt | |
# make fake data grid of x and y values | |
x, y, = np.meshgrid(np.arange(-5,5,0.01),np.arange(-5,5,0.01)) | |
# compute some function on x and y to get z values | |
z = np.sin(x**2 + y**2) / (x**2 + y**2) | |
# create xr data array | |
da = xr.DataArray(data=z, | |
dims=["x", "y"], | |
coords=dict( | |
x_coord=(["x", "y"], x), | |
y_coord=(["x", "y"], y)) | |
) | |
# make figure | |
fig, ax = plt.subplots(figsize=(7,6)) | |
# pcolormesh | |
pcolormeshplot = da.plot.pcolormesh(x='x_coord', y='y_coord', ax=ax, add_colorbar=False) | |
# contour lines | |
countourplot = da.plot.contour(x='x_coord', y='y_coord', colors='k', levels=[0], ax=ax, linewidths=0.8, linestyles='dotted') | |
# colorbar | |
cbar = plt.colorbar(pcolormeshplot) | |
cbar.add_lines(countourplot) |
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