Boxplot Of Multiple Columns Of A Pandas Dataframe On The Same Figure (seaborn)


Answer :

The seaborn equivalent of 

df.boxplot()

is 

sns.boxplot(x="variable", y="value", data=pd.melt(df))

Complete example:

import numpy as np; np.random.seed(42) import pandas as pd import matplotlib.pyplot as plt import seaborn as sns  df = pd.DataFrame(data = np.random.random(size=(4,4)), columns = ['A','B','C','D'])  sns.boxplot(x="variable", y="value", data=pd.melt(df))  plt.show()

enter image description here

This works because pd.melt converts a wide-form dataframe

          A         B         C         D 0  0.374540  0.950714  0.731994  0.598658 1  0.156019  0.155995  0.058084  0.866176 2  0.601115  0.708073  0.020584  0.969910 3  0.832443  0.212339  0.181825  0.183405

to long-form

   variable     value 0         A  0.374540 1         A  0.156019 2         A  0.601115 3         A  0.832443 4         B  0.950714 5         B  0.155995 6         B  0.708073 7         B  0.212339 8         C  0.731994 9         C  0.058084 10        C  0.020584 11        C  0.181825 12        D  0.598658 13        D  0.866176 14        D  0.969910 15        D  0.183405

You could use the built-in pandas method df.plot(kind='box') as suggested in this question.
I realize this answer will not help you if you have to use seaborn, but it may be useful for people with simpler requirements.

import numpy as np; np.random.seed(42) import pandas as pd import matplotlib.pyplot as plt  df = pd.DataFrame(data = np.random.random(size=(4,4)), columns = ['A','B','C','D'])  df.plot(kind='box') plt.show()

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