PandasGUI

A GUI for viewing and analyzing Pandas DataFrames based on PyQt5.

Installation

Install from PyPi:

pip install pandasgui

Install directly from Github for the latest changes.

pip install git+https://github.com/adamerose/pandasgui.git

Usage

Create a simple DataFrame and view it in the GUI

import pandas as pd
from pandasgui import show

example_df = pd.DataFrame(pd.np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
                          columns=['a', 'b', 'c'])
show(example_df)

Example of MultiIndex support, renaming, and nonblocking mode. Nonblocking mode opens the GUI in a separate process and allows you to continue running code in the console

import seaborn as sns
from pandasgui import show

flights = sns.load_dataset('flights')
multi = flights.set_index(['year', 'month']).unstack()  # MultiIndex example
if __name__ == '__main__':  # This is needed when starting a new process. Not necessary in interactive console.
    show(flights, flightsReshaped=multi, nonblocking=True)

About

This project is still in version 0.x.y and subject to major changes. Issues, feedback and forks are welcome.

Features

View DataFrames and Series
MultiIndex support
Copy & Paste from GUI
Import CSV files with drag & drop
Tabs showing column statistics and histograms

Requirements

pandas
PyQt5
seaborn

Screenshots

DataFrame Viewer DataFrame Statistics Histogram Viewer DataFrame Viewer with MultIndex

Release files for pandasgui 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pandasgui 0.1.6
File	Size	Uploaded
pandasgui-0.1.6.tar.gz	20.1 kB	Jun 17, 2019	Details

Release files / pandasgui-0.1.6.tar.gz

Download URL	pandasgui-0.1.6.tar.gz
Size	20.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`5782c058b07867ca5aaa76cbab96386b3b7a6023cc3820ee956770ec5cacc3b9`
BLAKE2b-256 checksum How to use checksums	`cb7507ac9f33c872e6cba12aedd64be2928cc633bc5e694f29e9565cf745bf4a`
Upload date	Jun 17, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3`