"""
==============
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.

.. redirect-from:: /gallery/pyplots/align_ylabels
"""
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()

# %%
#
# .. 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`