#Linear regression with marginal distributions using seaborn library
import matplotlib.pyplot as plt
#conda install -c anaconda seaborn
import seaborn as sns
sns.set_theme(style="darkgrid")

def main():
    tips = sns.load_dataset("tips")
    g = sns.jointplot(x="total_bill", y="tip", data=tips,
                      kind="reg", truncate=False,
                      xlim=(0, 60), ylim=(0, 12),
                      color="m", height=7)

    plt.savefig("ex384.png", dpi=100)
    plt.show()

if __name__ == '__main__':
    main()

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