Seaborn Violin Plot from Pandas Dataframe, each column its own separate violin plot

Question

I have Pandas Dataframe with structure:

   A  B
0  1  1
1  2  1
2  3  4
3  3  7
4  6  8

How do I generate a Seaborn Violin plot with each column as its own separate violin plot for side-by-side comparison?

Answer 1

seaborn (at least, version 0.8.1; not sure if this is new) supports what you want without messing around with your dataframe at all:

import pandas as pd
import seaborn as sns
df = pd.DataFrame({'A': [1, 2, 3, 3, 6], 'B': [1, 1, 4, 7, 8]})
sns.violinplot(data=df)

(Note that you do need to set data=df; if you just pass in df as the first argument (equivalent to setting x=df in the function call), it seems like it concatenates the columns together and then makes a violin plot of all of the data)