matplotlib & pandas

Python/matplotlab/gallery/pyplots/pyplot_scales.md

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+# Pyplot 比例尺(Scales)
+
+在不同的比例上创建图。这里显示了线性，对数，对称对数和对数标度。有关更多示例，请参阅库的[“缩放”](https://matplotlib.org/gallery/index.html#scales-examples)部分。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+from matplotlib.ticker import NullFormatter  # useful for `logit` scale
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# make up some data in the interval ]0, 1[
+y = np.random.normal(loc=0.5, scale=0.4, size=1000)
+y = y[(y > 0) & (y < 1)]
+y.sort()
+x = np.arange(len(y))
+
+# plot with various axes scales
+plt.figure(1)
+
+# linear
+plt.subplot(221)
+plt.plot(x, y)
+plt.yscale('linear')
+plt.title('linear')
+plt.grid(True)
+
+
+# log
+plt.subplot(222)
+plt.plot(x, y)
+plt.yscale('log')
+plt.title('log')
+plt.grid(True)
+
+
+# symmetric log
+plt.subplot(223)
+plt.plot(x, y - y.mean())
+plt.yscale('symlog', linthreshy=0.01)
+plt.title('symlog')
+plt.grid(True)
+
+# logit
+plt.subplot(224)
+plt.plot(x, y)
+plt.yscale('logit')
+plt.title('logit')
+plt.grid(True)
+# Format the minor tick labels of the y-axis into empty strings with
+# `NullFormatter`, to avoid cumbering the axis with too many labels.
+plt.gca().yaxis.set_minor_formatter(NullFormatter())
+# Adjust the subplot layout, because the logit one may take more space
+# than usual, due to y-tick labels like "1 - 10^{-3}"
+plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
+                    wspace=0.35)
+
+plt.show()
+```
+
+![Pyplot 比例尺示例](https://matplotlib.org/_images/sphx_glr_pyplot_scales_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.subplot
+matplotlib.pyplot.subplots_adjust
+matplotlib.pyplot.gca
+matplotlib.pyplot.yscale
+matplotlib.ticker.NullFormatter
+matplotlib.axis.Axis.set_minor_formatter
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_scales.py](https://matplotlib.org/_downloads/pyplot_scales.py)
+- [下载Jupyter notebook: pyplot_scales.ipynb](https://matplotlib.org/_downloads/pyplot_scales.ipynb)