view-df 0.2.3

A Python module to display large pandas DataFrames with auto-adjusted column widths in a web browser with filtering capability.

DataFrame Viewer

A Python module to display large pandas DataFrames with auto-adjusted column widths in a web browser with filtering capability.

Overview

DataFrame Viewer is a Python module designed to enhance the visualization of large pandas DataFrames by rendering them as interactive HTML tables in your default web browser. With features like auto-adjusted column widths and cell highlighting, this tool significantly improves the readability and accessibility of your data.

Features

• Filtering Capabilities: Easily filter data within the DataFrame for targeted analysis, with the option to clear filters.
• Auto-Adjusted Column Widths: Automatically adjusts column widths for better readability, making it easier to analyze large datasets.
• Cell Highlighting: Highlights the selected cell's entire row and column, improving data visibility and navigation.
• HTML Rendering: Displays DataFrames in a beautifully formatted HTML table, enhancing user experience.
• No Disk Writes: Operates using temporary files that are automatically deleted after viewing, ensuring your data remains secure.

Installation

pip install view_df

Usage

1. Import the Module:

   from view_df import view_df
   

2. Create a DataFrame and view it:

   import pandas as pd
   from view_df import view_df
   
   # Example DataFrame
   data = {
   'Name': ['Alice', 'Bob', 'Charlie'],
   'Gender':['Female','Male','Male'],
   'Occupation': ['Engineer', 'Doctor', 'Artist'],
   'Location': ['New York', 'Los Angeles', 'Chicago']
   }
   df = pd.DataFrame(data)
   
   # View the DataFrame in a web browser
   view_df(df)
   

Release Notes

v 0.2.3 Sorted the issue with filter menu, was not able to differentiate between list and tuple data types.
v 0.2.2: Sorted the issue with "None" datatypes, was causing issue when creating filters.
v 0.2.1: Sorted the issue with cells containing lists, dictonary, sets.
v 0.2: Introduced filtering capabilities and the option to clear filters for a more interactive experience.
v 0.1.3: Implemented minor formatting changes for improved aesthetics.
v 0.1.2: Added cell highlighting feature to enhance data visibility.
v 0.1: Initial release - Displaying DataFrame in web browser.

Github Repo

https://github.com/TheKola/dataframe-viewer