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matplotlib & pandas
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# Ticklabel对齐演示
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```python
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import matplotlib.pyplot as plt
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import mpl_toolkits.axisartist as axisartist
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def setup_axes(fig, rect):
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ax = axisartist.Subplot(fig, rect)
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fig.add_subplot(ax)
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ax.set_yticks([0.2, 0.8])
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ax.set_yticklabels(["short", "loooong"])
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ax.set_xticks([0.2, 0.8])
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ax.set_xticklabels([r"$\frac{1}{2}\pi$", r"$\pi$"])
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return ax
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fig = plt.figure(1, figsize=(3, 5))
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fig.subplots_adjust(left=0.5, hspace=0.7)
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ax = setup_axes(fig, 311)
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ax.set_ylabel("ha=right")
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ax.set_xlabel("va=baseline")
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ax = setup_axes(fig, 312)
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ax.axis["left"].major_ticklabels.set_ha("center")
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ax.axis["bottom"].major_ticklabels.set_va("top")
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ax.set_ylabel("ha=center")
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ax.set_xlabel("va=top")
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ax = setup_axes(fig, 313)
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ax.axis["left"].major_ticklabels.set_ha("left")
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ax.axis["bottom"].major_ticklabels.set_va("bottom")
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ax.set_ylabel("ha=left")
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ax.set_xlabel("va=bottom")
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plt.show()
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```
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## 下载这个示例
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- [下载python源码: demo_ticklabel_alignment.py](https://matplotlib.org/_downloads/demo_ticklabel_alignment.py)
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- [下载Jupyter notebook: demo_ticklabel_alignment.ipynb](https://matplotlib.org/_downloads/demo_ticklabel_alignment.ipynb)
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