Documentation website from Jupyter Notebook
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
What is Documentation website from Jupyter Notebook?
Skimpy is a Python library that provides detailed, formatted summary statistics for pandas and Polars dataframes directly within the console or interactive Python environment. It enhances exploratory data analysis by offering a more comprehensive and visually appealing alternative to basic methods like `df.describe()`, helping data scientists quickly understand their data's structure and characteristics.
Data scientists and analysts working with pandas or Polars dataframes who need quick, detailed summaries during exploratory data analysis in interactive environments like Jupyter notebooks or the Python console.
Developers choose Skimpy because it delivers immediate, actionable insights with rich, color-coded output tailored to different data types, all without leaving the console, making it faster and more visually informative than standard describe methods.
Overview
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Use Cases
Best For
- Generating comprehensive summary statistics for pandas dataframes with mixed data types (numeric, categorical, datetime, strings, etc.)
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