Great Tables

A library for creating elegant tables in Python

CommonProductProductivityPythondata visualization

Great Tables is a Python library for creating visually appealing and feature-rich tables. It supports Pandas or Polars DataFrames as data sources and offers a variety of formatting options and customization functionalities, making it ideal for data analysis and report generation. The library is primarily maintained by Rich Iannone and Michael Chow, licensed under the MIT license, and emphasizes a philosophy of concise yet powerful design.

Supports Pandas and Polars DataFrame data sources
Provides formatting options for titles
subtitles
and various data types
including currency
dates
and numbers
Flexible hiding or showing of columns
Renders to consoles
Jupyter notebooks

Great Tables is designed for developers and data analysts who need to create and display data tables within a Python environment. It is particularly well-suited for scenarios where data analysis results need to be presented in a tabular format to non-technical audiences.

Creating a stock market data table using the sp500 dataset for a specific date range
Displaying formatted financial data in a Jupyter notebook
Embedding custom-designed data analysis tables in Quarto documents

1. Install the Great Tables library: `pip install great_tables`
2. Import the Great Tables module
3. Prepare or retrieve data in Pandas or Polars DataFrame format
4. Use Great Tables methods to filter and format the data
5. Define the table's title

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Great Tables Visit Over Time

Monthly Visits

7819

Bounce Rate

45.88%

Page per Visit

1.8

Visit Duration

00:00:20

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