This is python version of summarytools, which is used to generate standardized and comprehensive summary of dataframe in Jupyter Notebooks.

The idea is originated from the summarytools R package (https://github.com/dcomtois/summarytools).

• Only dfSummary function is made available for now
• Added two html widgets to avoid displaying lengthy content
  • collapsible summary
  • tabbed summary

pip install summarytools

1. python 3.6+
2. pandas >= 1.4.0

the quick-start notebook is available in here

out-of-box dfSummary function will generate a HTML based data frame summary.

import pandas as pd
from summarytools import dfSummary
titanic = pd.read_csv('./data/titanic.csv')
dfSummary(titanic)

import pandas as pd
from summarytools import dfSummary
titanic = pd.read_csv('./data/titanic.csv')
dfSummary(titanic, is_collapsible = True)

import pandas as pd
from summarytools import dfSummary, tabset
titanic = pd.read_csv('./data/titanic.csv')
vaccine = pd.read_csv('./data/country_vaccinations.csv')
vaccine['date'] = pd.to_datetime(vaccine['date'])

tabset({
    'titanic': dfSummary(titanic).render(),
    'vaccine': dfSummary(vaccine).render()})

when export jupyter notebook to HTML, make sure Export Embedded HTML extension is installed and enabled.

Using the following bash command to retain the data frame summary in exported HTML.

jupyter nbconvert --to html_embed path/of/your/notebook.ipynb