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Colorbar Tick Labelling DemoΒΆ

Produce custom labelling for a colorbar.

Contributed by Scott Sinclair

import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from numpy.random import randn

Make plot with vertical (default) colorbar

fig, ax = plt.subplots()

data = np.clip(randn(250, 250), -1, 1)

cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
ax.set_title('Gaussian noise with vertical colorbar')

# Add colorbar, make sure to specify tick locations to match desired ticklabels
cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
cbar.ax.set_yticklabels(['< -1', '0', '> 1'])  # vertically oriented colorbar
../../_images/sphx_glr_colorbar_tick_labelling_demo_001.png

Make plot with horizontal colorbar

fig, ax = plt.subplots()

data = np.clip(randn(250, 250), -1, 1)

cax = ax.imshow(data, interpolation='nearest', cmap=cm.afmhot)
ax.set_title('Gaussian noise with horizontal colorbar')

cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
cbar.ax.set_xticklabels(['Low', 'Medium', 'High'])  # horizontal colorbar

plt.show()
../../_images/sphx_glr_colorbar_tick_labelling_demo_002.png

Total running time of the script: ( 0 minutes 0.076 seconds)

Gallery generated by Sphinx-Gallery