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matplotlib & pandas
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Python/matplotlab/gallery/pyplots/text_commands.md
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Python/matplotlab/gallery/pyplots/text_commands.md
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# 绘制不同的文本
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绘制许多不同种类的文本。
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```python
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import matplotlib.pyplot as plt
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fig = plt.figure()
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fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')
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ax = fig.add_subplot(111)
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fig.subplots_adjust(top=0.85)
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ax.set_title('axes title')
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ax.set_xlabel('xlabel')
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ax.set_ylabel('ylabel')
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ax.text(3, 8, 'boxed italics text in data coords', style='italic',
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bbox={'facecolor':'red', 'alpha':0.5, 'pad':10})
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ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)
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ax.text(3, 2, 'unicode: Institut f\374r Festk\366rperphysik')
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ax.text(0.95, 0.01, 'colored text in axes coords',
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verticalalignment='bottom', horizontalalignment='right',
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transform=ax.transAxes,
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color='green', fontsize=15)
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ax.plot([2], [1], 'o')
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ax.annotate('annotate', xy=(2, 1), xytext=(3, 4),
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arrowprops=dict(facecolor='black', shrink=0.05))
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ax.axis([0, 10, 0, 10])
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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.suptitle
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matplotlib.figure.Figure.add_subplot
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matplotlib.figure.Figure.subplots_adjust
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matplotlib.axes.Axes.set_title
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matplotlib.axes.Axes.set_xlabel
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matplotlib.axes.Axes.set_ylabel
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matplotlib.axes.Axes.text
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matplotlib.axes.Axes.annotate
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```
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## 下载这个示例
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- [下载python源码: text_commands.py](https://matplotlib.org/_downloads/text_commands.py)
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- [下载Jupyter notebook: text_commands.ipynb](https://matplotlib.org/_downloads/text_commands.ipynb)
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