Plots a series using the Seaborn histogram plot with kde and, mean, mode, and median lines in Jupyter / iPython

skewness_plot.py

## handy multi-plot function for showing mode, median, and mean lines in a distplot 
## (but using histplot since distplot is deprecated)
## Author - Abram Flansburg
## Intended for use in Jupyter / iPython
def skewness_plot(series):
    """
    Plots a series using the histogram plot with kde and plots, mean, mode, and median lines.
    *** Dependencies ***
    Series must be a pandas.Series
    Seaborn must be imported as sns
    matplotlib.pyplot must be imported as plt
    """
    sns.set_style("whitegrid", {'axes.grid' : False})

    fig, ax = plt.subplots()
    plt.title(series.name)
    # this could probably be done in less lines somehow....
    mean_line = ax.twinx()
    mean_line.axis('off')
    med_line = mean_line.twinx()
    med_line.axis('off')
    mode_line = med_line.twinx()
    mode_line.axis('off')

    mean_line.plot([series.mean(),series.mean()], ax.get_ylim(), scaley=False, color='red')
    mean_line.legend([f"Mean = {round(series.mean(),2)}"])

    med_line.plot([series.median(),series.median()], ax.get_ylim(), scaley=False, color='green',linestyle="dotted")
    med_line.legend([f"Median = {round(series.median(),2)}"],loc=1,bbox_to_anchor=(1,.95))

    mode_line.plot([series.mode(),series.mode()], ax.get_ylim(), scaley=False, color='yellow',linestyle="dashed")
    mode_line.legend([f"Mode = {series.mode().iloc[0]}"],loc=1,bbox_to_anchor=(1,.90))

    sns.histplot(series,bins=10, ax=ax, kde=True);
    # Using ^ in place of .distplot - just need to add kde=True