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63 lines
1.3 KiB
Markdown
63 lines
1.3 KiB
Markdown
# 比例尺
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说明应用于轴的比例变换，例如： log，symlog，logit。
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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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from matplotlib.ticker import NullFormatter
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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# make up some data in the interval ]0, 1[
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y = np.random.normal(loc=0.5, scale=0.4, size=1000)
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y = y[(y > 0) & (y < 1)]
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y.sort()
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x = np.arange(len(y))
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# plot with various axes scales
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fig, axs = plt.subplots(2, 2, sharex=True)
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fig.subplots_adjust(left=0.08, right=0.98, wspace=0.3)
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# linear
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ax = axs[0, 0]
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ax.plot(x, y)
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ax.set_yscale('linear')
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ax.set_title('linear')
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ax.grid(True)
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# log
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ax = axs[0, 1]
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ax.plot(x, y)
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ax.set_yscale('log')
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ax.set_title('log')
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ax.grid(True)
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# symmetric log
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ax = axs[1, 1]
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ax.plot(x, y - y.mean())
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ax.set_yscale('symlog', linthreshy=0.02)
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ax.set_title('symlog')
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ax.grid(True)
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# logit
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ax = axs[1, 0]
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ax.plot(x, y)
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ax.set_yscale('logit')
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ax.set_title('logit')
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ax.grid(True)
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ax.yaxis.set_minor_formatter(NullFormatter())
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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: scales.py](https://matplotlib.org/_downloads/scales.py)
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- [下载Jupyter notebook: scales.ipynb](https://matplotlib.org/_downloads/scales.ipynb) |