python seaborn tutorial 1 example gallery

        import seaborn as sns
        %matplotlib inline
        import numpy as np
        import matplotlib.pyplot as plt

        sns.set(style='ticks')
        df = sns.load_dataset('anscombe')
        sns.lmplot('x', 'y', col='dataset', hue='dataset',
                   data=df, col_wrap=2, ci=None, palette='muted',
                   size=4, scatter_kws={'s': 50, 'alpha': 1})

        sns.set(style='white', context='talk')
        rs = np.random.RandomState(7)

        x = np.array(list('ABCDEFGHI'))

        f, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(8, 6), sharex=True)

        y1 = np.arange(1, 10)
        # array([1, 2, 3, 4, 5, 6, 7, 8, 9])
        sns.barplot(x, y1, ci=None, palette='BuGn_d', hline=1, ax=ax1)
        ax1.set_ylabel('Sequential')

        y2 = y1 - 5
        # array([-4, -3, -2, -1,  0,  1,  2,  3,  4])
        sns.barplot(x, y2, ci=None, palette='coolwarm', hline=0, ax=ax2)
        ax2.set_ylabel('Diverging')

        y3 = rs.choice(y1, 9, replace=False)
        # array([3, 8, 1, 9, 6, 4, 7, 2, 5])
        sns.barplot(x, y3, ci=None, palette='Paired', hline=.1, ax=ax3)
        ax3.set_ylabel('Qualitative')

        sns.despine(bottom=True)
        plt.setp(f.axes, yticks=[])
        plt.tight_layout(h_pad=3)