1+1
2
import numpy as np import matplotlib.pyplot as plt %matplotlib inline plt.plot(np.random.randn(100))
[<matplotlib.lines.Line2D at 0x7fa5ec16fa58>]
ls *.png
6d2fa8b6.plickers.iphone.png icon2.png Capture du 2015-11-14 10-53-28.png icon.png example_studentized_residuals.png residuals_example.png icon1.png Screenshot from 2014-11-05 11:01:12.png
plt.plot(np.sin(2*np.pi*0.01*np.arange(200)))
[<matplotlib.lines.Line2D at 0x7fa5eba84d30>]