story_bike_share_analyze_9.py

fig, axes = plt.subplots(1, 3, figsize=(18, 6))
axes = np.array(axes).flatten()
for m, ax in zip(ridership[ridership['Quarter']==3]['Month'].unique(), axes):
    ax.set_title(m)
    ax.set_ylim(0, 7000)
    ax.set_ylabel('Average Daily Trips')
    
    sns.barplot(
        x='Day of Week', 
        y='Id', 
        hue='User Type', 
        data=ridership[ridership['Month']==m].groupby(['Day of Week', 'User Type'])['Id'].mean().reset_index(),
        ax=ax
    )