import matplotlib.pyplot as plt
import numpy as np
fig, axs = plt.subplots(2, 2)
cm = ['RdBu_r', 'viridis']
for col in range(2):
for row in range(2):
ax = axs[row, col]
pcm = ax.pcolormesh(np.random.random((20, 20)) * (col + 1),
cmap=cm[col])
fig.colorbar(pcm, ax=ax)
fig, axs = plt.subplots(2, 2)
cm = ['RdBu_r', 'viridis']
for col in range(2):
for row in range(2):
ax = axs[row, col]
pcm = ax.pcolormesh(np.random.random((20, 20)) * (col + 1),
cmap=cm[col])
fig.colorbar(pcm, ax=axs[:, col], shrink=0.6)
fig, axs = plt.subplots(3, 3, constrained_layout=True)
for ax in axs.flat:
pcm = ax.pcolormesh(np.random.random((20, 20)), cmap='viridis')
fig.colorbar(pcm, ax=axs[0, :2], shrink=0.6, location='bottom')
fig.colorbar(pcm, ax=[axs[0, 2]], location='bottom')
fig.colorbar(pcm, ax=axs[1:, :], location='right', shrink=0.6)
fig.colorbar(pcm, ax=[axs[2, 1]], location='left')