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Produce custom labelling for a colorbar.
Contributed by Scott Sinclair
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Colorbar Tick Labelling Demo
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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-tq5J6U/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()
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