"""

==============

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 numpy as np

import matplotlib.pyplot as plt

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()

#############################################################################

#

# .. seealso::

# `.Figure.align_ylabels` and `.Figure.align_labels` for a direct method

# of doing the same thing.

# Also :doc:`/gallery/subplots_axes_and_figures/align_labels_demo`

#

#

# Or we can manually align the axis labels between subplots manually using the

# `~.Axis.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()

#############################################################################

#

# .. admonition:: References

#

# The use of the following functions, methods, classes and modules is shown

# in this example:

#

# - `matplotlib.figure.Figure.align_ylabels`

# - `matplotlib.axis.Axis.set_label_coords`

# - `matplotlib.axes.Axes.plot` / `matplotlib.pyplot.plot`

# - `matplotlib.axes.Axes.set_title`

# - `matplotlib.axes.Axes.set_ylabel`

# - `matplotlib.axes.Axes.set_ylim`