matplotlib & pandas

Python/matplotlab/gallery/scales/scales.md

@@ -0,0 +1,63 @@
+# 比例尺
+
+说明应用于轴的比例变换，例如： log，symlog，logit。
+
+![比例尺示例](https://matplotlib.org/_images/sphx_glr_scales_001.png)
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.ticker import NullFormatter
+
+# 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
+fig, axs = plt.subplots(2, 2, sharex=True)
+fig.subplots_adjust(left=0.08, right=0.98, wspace=0.3)
+
+# linear
+ax = axs[0, 0]
+ax.plot(x, y)
+ax.set_yscale('linear')
+ax.set_title('linear')
+ax.grid(True)
+
+
+# log
+ax = axs[0, 1]
+ax.plot(x, y)
+ax.set_yscale('log')
+ax.set_title('log')
+ax.grid(True)
+
+
+# symmetric log
+ax = axs[1, 1]
+ax.plot(x, y - y.mean())
+ax.set_yscale('symlog', linthreshy=0.02)
+ax.set_title('symlog')
+ax.grid(True)
+
+# logit
+ax = axs[1, 0]
+ax.plot(x, y)
+ax.set_yscale('logit')
+ax.set_title('logit')
+ax.grid(True)
+ax.yaxis.set_minor_formatter(NullFormatter())
+
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: scales.py](https://matplotlib.org/_downloads/scales.py)
+- [下载Jupyter notebook: scales.ipynb](https://matplotlib.org/_downloads/scales.ipynb)