CODEWITHSUNDEEP
pythonnumpypandasmatplotlibseaborn
amehta
amehta

Reputation: 1317

How to plot multiple pandas dataframe as separate categories in a violinplot?

I am reading data from four separate files of different categories and would like to visualize the distribution of a filed for those using a violin plot. In my attempt, it seems like they are getting overwritten

import seaborn as sb

# category1, category2, category3, category4 are pandas dataFrame obj

sb.violinplot(category1['delay'])
sb.violinplot(category2['delay'])
sb.violinplot(category3['delay'])
sb.violinplot(category4['delay'])

Upvotes: 2

Views: 2900

Answers (1)

Sergey Bushmanov
Sergey Bushmanov

Reputation: 25199

You may try:

import seaborn as sns
df = pd.DataFrame({'col1': np.random.rand(100), 'col2': np.random.rand(100)})
sns.violinplot(data=df);

enter image description here

or, if you need to combine several df's of yours:

df = pd.concat([category1['delay'],
                category2['delay'],
                category3['delay'],
                category4['delay']],
                axis=1)
sns.violinplot(data=df);

Upvotes: 3

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