matplotlib 高级用法实例--共享x轴

http://localhost:8888/notebooks/duanqs/matplotlib_advanced_example.ipynb

我不会弄呀, 刚才从matplotlib文档里吧示例用jupyter notebook跑了一遍, 很不错的笔记.

如何才能把它写到博客里呢.

python代码和mk代码混合在一起了, 很难看呀!!!

 1 Our Favorite Recipes — Matplotlib 1.5.1 documentation
 2 http://matplotlib.org/users/recipes.html
 3 Our Favorite Recipes
 4 Here is a collection of short tutorials, examples and code snippets that illustrate some of the useful idioms and tricks to make snazzier figures and overcome some matplotlib warts.
 5 Sharing axis limits and views It’s common to make two or more plots which share an axis, e.g., two subplots with time as a common axis. When you pan and zoom around on one, you want the other to move around with you. To facilitate this, matplotlib Axes support a sharex and sharey attribute. When you create a subplot() or axes() instance, you can pass in a keyword indicating what axes you want to share with

 In [1]:

 import matplotlib
 import numpy as np
 import matplotlib.pyplot as plt
 %matplotlib inline
 import matplotlib
 In [2]:

 t = np.arange(0, 10, 0.01)
 ​
 ax1 = plt.subplot(211)
 ax1.plot(t, np.sin(2*np.pi*t))
 ​
 ax2 = plt.subplot(212, sharex=ax1)
 ax2.plot(t, np.sin(4*np.pi*t))
 Out[2]:
 [<matplotlib.lines.Line2D at 0x559b710>]