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>]
