Note
Go to the end to download the full example code.
Align y-labels#
Two methods are shown here, one using a short call to Figure.align_ylabels
and the second a manual way to align the labels.
import matplotlib.pyplot as plt
import numpy as np
def make_plot(axs):
box = dict(facecolor='yellow', pad=5, alpha=0.2)
# Fixing random state for reproducibility
np.random.seed(19680801)
ax1 = axs[0, 0]
ax1.plot(2000*np.random.rand(10))
ax1.set_title('ylabels not aligned')
ax1.set_ylabel('misaligned 1', bbox=box)
ax1.set_ylim(0, 2000)
ax3 = axs[1, 0]
ax3.set_ylabel('misaligned 2', bbox=box)
ax3.plot(np.random.rand(10))
ax2 = axs[0, 1]
ax2.set_title('ylabels aligned')
ax2.plot(2000*np.random.rand(10))
ax2.set_ylabel('aligned 1', bbox=box)
ax2.set_ylim(0, 2000)
ax4 = axs[1, 1]
ax4.plot(np.random.rand(10))
ax4.set_ylabel('aligned 2', bbox=box)
# Plot 1:
fig, axs = plt.subplots(2, 2)
fig.subplots_adjust(left=0.2, wspace=0.6)
make_plot(axs)
# just align the last column of Axes:
fig.align_ylabels(axs[:, 1])
plt.show()
See also
Figure.align_ylabels and Figure.align_labels for a direct method
of doing the same thing.
Also Align labels and titles
Or we can manually align the axis labels between subplots manually using the
set_label_coords method of the y-axis object. Note this requires
we know a good offset value which is hardcoded.
fig, axs = plt.subplots(2, 2)
fig.subplots_adjust(left=0.2, wspace=0.6)
make_plot(axs)
labelx = -0.3 # axes coords
for j in range(2):
axs[j, 1].yaxis.set_label_coords(labelx, 0.5)
plt.show()
References
The use of the following functions, methods, classes and modules is shown in this example: