How to add multiple custom ticks to seaborn boxplot-CodePudding

I generated a boxplot using seaborn. On the x axis, I would like to have, both the number of days (20, 25, 32) and the actual dates they refer to (2022-05-08, 2022-05-13, 2022-05-20). I found a potential solution at the following link

CodePudding user response：

Try this:

    import pandas as pd
    import matplotlib.pyplot as plt
    import seaborn as sns

    df = pd.DataFrame({'nb_days':[20,20,20,25,25,20,32,32,25,32,32],
                'Dates':['2022-05-08','2022-05-08','2022-05-08','2022-05-13','2022-05-13','2022-05-08','2022-05-20','2022-05-20','2022-05-13','2022-05-20','2022-05-20'],
                'score':[3,3.5,3.4,2,2.2,3,5,5.2,4,4.3,5]})

    df['Dates'] = df['Dates'].apply(pd.to_datetime)
    tick_label = dict(zip(df['nb_days'],df['Dates'].apply(lambda x: x.strftime('%Y-%m-%d')))) #My custom xtick label

    #Plot
    fig,ax = plt.subplots(figsize=(6,6))
    ax = sns.boxplot(x='nb_days',y='score',data=df,color=None)
    # iterate over boxes to change color
    for i,box in enumerate(ax.artists):
        box.set_edgecolor('red')
        box.set_facecolor('white')

    sns.stripplot(x='nb_days',y='score',data=df,color='black')
    ticks = sorted(df['nb_days'].unique())
    labels = ["{}\n".format(t) tick_label.get(t, ticks[i]) for i, t in enumerate(ticks)]
    ax.set_xticklabels(labels)

    plt.tight_layout()
    plt.show()
    plt.close()

CodePudding user response：

You can do that by adding these lines in place of ax.set_xticklabels(labels)

new_labels=["{}\n{}".format(a_, b_) for a_, b_ in zip(ticks, labels)]
ax.set_xticklabels(new_labels)

Output