In [1]:
%matplotlib inline
In [2]:
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_context('notebook')
In [3]:
fig, axes = plt.subplots(2,2)
axes = axes.ravel()
for i in [0, 2]:
axes[i].plot(np.arange(10))
axes[1].plot(1/(np.arange(10)+1))
Out[3]:
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