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import numpy as np
import seaborn as sns
import pandas as pd

mean, cov = [0, 1], [(1, .5),  (.5, 1)]
data = np.random.multivariate_normal(mean, cov, 200)
df = pd.DataFrame(data, columns=["x", "y"])
sns.jointplot(x="x", y="y", kind="hex", data=df)
sns.plt.show()


    

    




:0: FutureWarning: IPython widgets are experimental and may change in the future.
/Users/takaaki-suzuki/.pyenv/versions/anaconda3-2.2.0/lib/python3.4/site-packages/matplotlib/tight_layout.py:222: UserWarning: tight_layout : falling back to Agg renderer
  warnings.warn("tight_layout : falling back to Agg renderer")

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