Seaborn boxplot with 2 y-axes

Question

How can I create a seaborn boxplot with 2 y-axes? I need this because of different scales. My current code will overwrite the first box in the boxplot, eg. it is populated b

Answer 1

It may not make too much sense to use seaborn here. Using usual matplotlib boxplots allows you to use the positions argument as expected.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')

df = pd.DataFrame({'A': pd.Series(np.random.uniform(0,1,size=10)),
                   'B': pd.Series(np.random.uniform(10,20,size=10)),
                   'C': pd.Series(np.random.uniform(10,20,size=10))})

fig, ax1  = plt.subplots(figsize=(7.8, 5.51))

props = dict(widths=0.7,patch_artist=True, medianprops=dict(color="gold"))
box1=ax1.boxplot(df['A'].values, positions=[0], **props)

ax2 = ax1.twinx()
box2=ax2.boxplot(df[['B','C']].values,positions=[1,2], **props)

ax1.set_xlim(-0.5,2.5)
ax1.set_xticks(range(len(df.columns)))
ax1.set_xticklabels(df.columns)

for b in box1["boxes"]+box2["boxes"]:
    b.set_facecolor(next(ax1._get_lines.prop_cycler)["color"])
plt.show()