

Great Tables
Overview :
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.
Target Users :
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.
Use Cases
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
Features
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, and Quarto documents
Active community support, including GitHub discussions and a Discord server
How to Use
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, subtitle, and column display formats
6. Render the table to the console, Jupyter notebook, or Quarto document
7. Adjust the table's display as needed, such as hiding columns or modifying number formats
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