You are reading documentation for the unreleased version of Matplotlib. Try searching for the released version of this page instead?
Version 2.0.0b1.post7580.dev0+ge487118
matplotlib
Fork me on GitHub

Related Topics

This Page

ColorbarΒΆ

Use colorbar by specifying the mappable object (here the imshow returned object) and the axes to attach the colorbar to.

../../_images/sphx_glr_colorbar_basics_001.png
import numpy as np
import matplotlib.pyplot as plt

# setup some generic data
N = 37
x, y = np.mgrid[:N, :N]
Z = (np.cos(x*0.2) + np.sin(y*0.3))

# mask out the negative and positive values, respectively
Zpos = np.ma.masked_less(Z, 0)
Zneg = np.ma.masked_greater(Z, 0)

fig, (ax1, ax2) = plt.subplots(figsize=(8, 3), ncols=2)

# plot just the positive data and save the
# color "mappable" object returned by ax1.imshow
pos = ax1.imshow(Zpos, cmap='Blues', interpolation='none')

# add the colorbar using the figure's method,
# telling which mappable we're talking about and
# which axes object it should be near
fig.colorbar(pos, ax=ax1)

# repeat everything above for the negative data
neg = ax2.imshow(Zneg, cmap='Reds_r', interpolation='none')
fig.colorbar(neg, ax=ax2)

plt.show()

Gallery generated by Sphinx-Gallery