In [1]:
import pandas as pd
import numpy as np
pd.DataFrame(np.random.randn(5, 2))
Out[1]:
0 1
0 -2.902718 0.173613
1 0.564710 0.669967
2 0.402221 0.459961
3 0.162820 0.186455
4 2.585922 1.035185
In [2]:
%matplotlib inline
pd.DataFrame(np.random.randn(5, 2)).plot()
Out[2]:
<matplotlib.axes._subplots.AxesSubplot at 0x107702b10>

Header 1

Header 2

formula test $\alpha = 10$