Metadata-Version: 2.4
Name: display_df
Version: 0.1.5
Summary: An interactive Pandas DataFrame viewer that enables better-than-notepad viewing abilities in normal Python files 👀
Home-page: https://github.com/yourusername/display_df
Author: Your Name
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: PyQt5
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# display_df

The tool enables viewing and searching of a pandas DataFrame in a UI.
- View multi-million line DataFrames interactively
- It's faster than viewing a .csv in Excel
- It can display a nearly unlimited number of lines
- You can search all or just a subset of columns
- It can act as a breakpoint in your code which helps with debugging of DataFrames in normal Python code preventing the need for endless cells in notebooks
- It has a window_title field which allows you to have multiple calls to the display_df without losing track of which step you're on

## Installation

```bash
pip install display_df
```

## Usage

```python
import pandas as pd
from display_df import display_df

df1 = pd.DataFrame({...})
display_df(df_=df1, window_title="This is a title of your df window, for debugging purposes")
```

## Features
- Interactive search by column or all columns
- View multi-million line DataFrames interactively
- PyQt5 GUI

## License
MIT 
