'Seaborn boxplot for classification with pandas wide to long [duplicate]

I have data that I would like to train an ml classifier on. The data is in wide format. I'd like to do a boxplot with searborn sns.boxplot(x='variable',y='value', hue='target', data=df_train). How do I reshape the data to be able to pass it to sns.boxplot?

Sample data

import pandas as pd
from sklearn import datasets
X, y = datasets.make_classification(n_samples=100, n_features=5, random_state=1)
df_train = pd.DataFrame(X)
df_train['y']=y
pandasseaborn


Solution 1:[1]

pd.melt is what you want to use.

dfg_train = df_train.melt(id_vars='y')
sns.boxplot(x='variable',y='value', hue='y', data=dfg_train)

Sources

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Source: Stack Overflow

Solution Source
Solution 1 citynorman

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