# 对齐y标签

这里显示了两种方法,一种是使用对 Figure.align_ylabels 的简短调用,另一种是使用手动方式来对齐标签。

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()

对齐y标签示例

另见 Figure.align_ylabels and Figure.align_labels for a direct method of doing the same thing. Also Aligning Labels

或者,我们可以使用y轴对象的set_label_coords方法手动在子图之间手动对齐轴标签。请注意,这需要我们知道硬编码的良好偏移值。

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()

对齐y标签示例2

# 参考

此示例中显示了以下函数,方法,类和模块的使用:

import matplotlib
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

# 下载这个示例