A simple widget for interactive EDA / QA for those who use Pandas in Jupyter Notebook.
Project description
EDExplore
A simple widget for interactive EDA / QA for those who use Pandas in Jupyter Notebook.
Requirements: Pandas, Jupyter Notebook, and IPyWidgets.
How to install?
Installing IPyWidgets:
pip install ipywidgets
or
conda install -c conda-forge ipywidgets
At times, you may need to enable the ipywidgets notebook extension:
jupyter nbextension enable --py widgetsnbextension
After downloading / extracting the code, go to the directory (in command line) for installation:
pip install .
How to use?
import pandas as pd
from edexplore import interact
df = pd.read_csv("xzy.csv")
interact(df)
<img src="https://github.com/nagaprakashv/explore/assets/13671867/7cd53826-2cf0-41f4-a335-d59bf4fd0af2"" width=100% height=100%>
Special thanks to Ashwin Rajeev, who introduced IPyWidgets to me long back!
Copyright (c) 2024 Nagaprakash Venkatesan , FreeBSD License
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file edexplore-1.0.1.tar.gz.
File metadata
- Download URL: edexplore-1.0.1.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4f91f39a577e1dd75efef1ad3743a57247229645159bed4eac375944a927213b
|
|
| MD5 |
02daf6999374dc04d5b652d21392b9a0
|
|
| BLAKE2b-256 |
7acaac1c3492cb9aa3d84d8a016b69a503bdabede09ce04f01cfe3b2b074546d
|
File details
Details for the file edexplore-1.0.1-py3-none-any.whl.
File metadata
- Download URL: edexplore-1.0.1-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a82772c0e0c0200c663ff5cbf56edf468f16f43cd24831a41752ff73eea4070c
|
|
| MD5 |
7b681446a5ef6b5658beb671aaa83716
|
|
| BLAKE2b-256 |
c7c3c4f6c9bd7272fbbd5051863f4de9b71e32468760ce4564acdf193920d74c
|
