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86 lines
2.4 KiB
Markdown
86 lines
2.4 KiB
Markdown
# 对齐y标签
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这里显示了两种方法，一种是使用对 [Figure.align_ylabels](https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.align_ylabels) 的简短调用，另一种是使用手动方式来对齐标签。
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```python
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import numpy as np
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import matplotlib.pyplot as plt
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def make_plot(axs):
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box = dict(facecolor='yellow', pad=5, alpha=0.2)
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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ax1 = axs[0, 0]
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ax1.plot(2000*np.random.rand(10))
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ax1.set_title('ylabels not aligned')
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ax1.set_ylabel('misaligned 1', bbox=box)
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ax1.set_ylim(0, 2000)
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ax3 = axs[1, 0]
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ax3.set_ylabel('misaligned 2', bbox=box)
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ax3.plot(np.random.rand(10))
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ax2 = axs[0, 1]
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ax2.set_title('ylabels aligned')
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ax2.plot(2000*np.random.rand(10))
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ax2.set_ylabel('aligned 1', bbox=box)
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ax2.set_ylim(0, 2000)
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ax4 = axs[1, 1]
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ax4.plot(np.random.rand(10))
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ax4.set_ylabel('aligned 2', bbox=box)
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# Plot 1:
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fig, axs = plt.subplots(2, 2)
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fig.subplots_adjust(left=0.2, wspace=0.6)
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make_plot(axs)
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# just align the last column of axes:
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fig.align_ylabels(axs[:, 1])
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plt.show()
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```
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> 另见 Figure.align_ylabels and Figure.align_labels for a direct method of doing the same thing. Also Aligning Labels
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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。
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```python
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fig, axs = plt.subplots(2, 2)
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fig.subplots_adjust(left=0.2, wspace=0.6)
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make_plot(axs)
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labelx = -0.3 # axes coords
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for j in range(2):
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axs[j, 1].yaxis.set_label_coords(labelx, 0.5)
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plt.show()
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```
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## 参考
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此示例中显示了以下函数，方法，类和模块的使用：
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```python
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import matplotlib
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matplotlib.figure.Figure.align_ylabels
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matplotlib.axis.Axis.set_label_coords
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matplotlib.axes.Axes.plot
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matplotlib.pyplot.plot
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matplotlib.axes.Axes.set_title
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matplotlib.axes.Axes.set_ylabel
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matplotlib.axes.Axes.set_ylim
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```
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## 下载这个示例
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- [下载python源码: align_ylabels.py](https://matplotlib.org/_downloads/align_ylabels.py)
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- [下载Jupyter notebook: align_ylabels.ipynb](https://matplotlib.org/_downloads/align_ylabels.ipynb) |