#378 Horizontal boxplot with observations using seaborn library

#Horizontal boxplot with observations
import matplotlib.pyplot as plt
#conda install -c anaconda seaborn
import seaborn as sns
sns.set_theme(style="ticks")

def main():
    # Initialize the figure with a logarithmic x axis
    f, ax = plt.subplots(figsize=(7, 6))
    ax.set_xscale("log")

    # Load the example planets dataset
    planets = sns.load_dataset("planets")

    # Plot the orbital period with horizontal boxes
    sns.boxplot(x="distance", y="method", data=planets,
            whis=[0, 100], width=.6, palette="vlag")

    # Add in points to show each observation
    sns.stripplot(x="distance", y="method", data=planets,
                  size=4, color=".3", linewidth=0)

    # Tweak the visual presentation
    ax.xaxis.grid(True)
    ax.set(ylabel="")
    sns.despine(trim=True, left=True)
    plt.savefig("ex378.png", dpi=100)
    plt.show()

if __name__ == '__main__':
    main()