In [1]:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

%matplotlib inline

In [2]:

print "Seaborn version:",sns.__version__
print "Numpy version:",np.__version__
print "Matplotlib version:",mpl.__version__

Seaborn version: 0.5.1
Numpy version: 1.9.0
Matplotlib version: 1.4.0

In [3]:

data = np.random.randn(100)

In [4]:

fig,ax = plt.subplots(figsize = (11,8.5))
ax.plot(data)

Out[4]:

[<matplotlib.lines.Line2D at 0x17656a58>]

In [4]: