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
6 In [1]: 7 8 import matplotlib 9 import numpy as np 10 import matplotlib.pyplot as plt 11 %matplotlib inline 12 import matplotlib 13 In [2]: 14 15 t = np.arange(0, 10, 0.01) 16 17 ax1 = plt.subplot(211) 18 ax1.plot(t, np.sin(2*np.pi*t)) 19 20 ax2 = plt.subplot(212, sharex=ax1) 21 ax2.plot(t, np.sin(4*np.pi*t)) 22 Out[2]: 23 [<matplotlib.lines.Line2D at 0x559b710>]
