#Joint and marginal histograms using seaborn library
import matplotlib.pyplot as plt
#conda install -c anaconda seaborn
import seaborn as sns
sns.set_theme(style="ticks")
def main():
# Load the planets dataset and initialize the figure
planets = sns.load_dataset("planets")
g = sns.JointGrid(data=planets, x="year", y="distance", marginal_ticks=True)
# Set a log scaling on the y axis
g.ax_joint.set(yscale="log")
# Create an inset legend for the histogram colorbar
cax = g.figure.add_axes([.15, .55, .02, .2])
# Add the joint and marginal histogram plots
g.plot_joint(
sns.histplot, discrete=(True, False),
cmap="light:#03012d", pmax=.8, cbar=True, cbar_ax=cax
)
g.plot_marginals(sns.histplot, element="step", color="#03012d")
plt.savefig("ex379.png", dpi=100)
plt.show()
if __name__ == '__main__':
main()
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