%matplotlib inline

import seaborn as sns

sns.set_context("talk", rc={"figure.figsize": (12, 9)})

networks = sns.load_dataset("brain_networks", header=[0, 1, 2], index_col=0)
corrmap = networks.iloc[:, :30].corr()

cmap = sns.choose_diverging_palette(as_cmap=True)

sns.heatmap(corrmap, square=True, linewidths=1, cmap=cmap);

sns.set_style("white")

cmap = sns.choose_cubehelix_palette(as_cmap=True)

sns.jointplot(networks.loc[:, ("7", "1", "lh")],
              networks.loc[:, ("7", "1", "rh")],
              kind="hex", color=cmap(.4),
              joint_kws=dict(cmap=(cmap)));