A python package with helpful functions for use alongside with the rich python library.

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• Convert a Pandas DataFrame into a rich Table ➜ df_to_table()

  By making this conversion, we can now pretty print a DataFrame in the terminal with rich. Bridging the gap between pandas and rich also provides a path for loading external data into a rich Table using Pandas functions such as .from_csv()!

• Convert a rich Table into a Pandas DataFrame ➜ table_to_df()

  By bridging the gap between a rich Table and a DataFrame, we can now take additional actions on our data such as
  saving the data to a csv using the Pandas function .to_csv()!

• Convert a rich Table into a list of dictionaries. ➜ table_to_dicts()

  Get your tables rows as a list of dictionaries with column names as key, and row contents as values.

• Strip rich markup tags from a string. ➜ strip_markup_tags()

  Helper function to remove tags from text formatted with rich. "[bold]Bold[/bold]" becomes "Bold"

• Export a rich table to HTML

  Currently there are 2 renderers for the tables using plain HTML or the tabulator js library.

$ pip install rich-tools

• Set the environment variable DISABLE_PANDAS to 1 if you don't want to load the pandas library. This is useful in environments with low memory like AWS lambda.

Additional examples can be found in the examples dir.

# Print csv data to the terminal as a pretty printed rich formatted table

import pandas as pd
from rich import print
from rich_tools import df_to_table

if __name__ == '__main__':
    df = pd.read_csv("sample_input.csv")
    table = df_to_table(df)
    print(table)

• Like the rich package itself, its creator Will McGugan is awesome! Check out Textual "a TUI (Text User Interface) framework for Python inspired by modern web development". Thank you for the advice you've given on this project! 🙏
• I am grateful for folks who give some of their time to this project in any form. Check out the list of contributors and learn more about contributing here.