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52 lines
1.9 KiB
Markdown
52 lines
1.9 KiB
Markdown
# Transoffset
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这说明了使用transforms.offset_copy进行变换，该变换将绘图元素（如文本字符串）定位在屏幕坐标（点或英寸）中相对于任何坐标中给出的位置的指定偏移处。
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每个Artist - 从中派生Text和Line等类的mpl类 - 都有一个可以在创建Artist时设置的转换，例如通过相应的pyplot命令。 默认情况下，这通常是Axes.transData转换，从数据单元到屏幕点。 我们可以使用offset_copy函数来修改此转换的副本，其中修改包含偏移量。
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```python
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import matplotlib.pyplot as plt
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import matplotlib.transforms as mtransforms
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import numpy as np
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xs = np.arange(7)
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ys = xs**2
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fig = plt.figure(figsize=(5, 10))
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ax = plt.subplot(2, 1, 1)
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# If we want the same offset for each text instance,
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# we only need to make one transform. To get the
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# transform argument to offset_copy, we need to make the axes
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# first; the subplot command above is one way to do this.
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trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
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x=0.05, y=0.10, units='inches')
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for x, y in zip(xs, ys):
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plt.plot((x,), (y,), 'ro')
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plt.text(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)
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# offset_copy works for polar plots also.
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ax = plt.subplot(2, 1, 2, projection='polar')
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trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,
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y=6, units='dots')
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for x, y in zip(xs, ys):
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plt.polar((x,), (y,), 'ro')
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plt.text(x, y, '%d, %d' % (int(x), int(y)),
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transform=trans_offset,
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horizontalalignment='center',
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verticalalignment='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: transoffset.py](https://matplotlib.org/_downloads/transoffset.py)
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- [下载Jupyter notebook: transoffset.ipynb](https://matplotlib.org/_downloads/transoffset.ipynb) |