Version 3.1.2
matplotlib

Related Topics

Colorbar Tick Labelling DemoΒΆ

Produce custom labelling for a colorbar.

Contributed by Scott Sinclair

============================
Colorbar Tick Labelling Demo
============================

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
Traceback (most recent call last):
  File "/build/matplotlib-mO9dyQ/matplotlib-3.1.2/examples/ticks_and_spines/colorbar_tick_labelling_demo.py", line 1
    ============================
    ^
SyntaxError: invalid syntax

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

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()

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery