grplot: lazy statistical data visualization
Project description
grplot: lazy statistical data visualization
grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, and pandas. It supports human laziness in drawing complete and attractive statistical graphs in just one line of code.
Documentation
Documentation at grplot repository includes a Documentation Notebook and other useful information.
Dependencies
grplot supports Python 3.6+.
Installation requires numpy, scipy, matplotlib, seaborn, and pandas. Some functions will optionally use statsmodels if it is installed.
Installation
The latest stable release (and required dependencies) can be installed from PyPI:
pip install grplot
Development
grplot development takes place on Github: https://github.com/ghiffaryr/grplot/tree/dev
Please submit bugs that you encounter to the issue tracker with a reproducible example demonstrating the problem.
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
File details
Details for the file grplot-0.10.4.tar.gz.
File metadata
- Download URL: grplot-0.10.4.tar.gz
- Upload date:
- Size: 40.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8c41f59603898fd7053dec868c64655f308ba984d25b6d127491a6898650aed7 |
|
| MD5 | e9fa259eed363fb719fa81de5dbaedef |
|
| BLAKE2b-256 | 92253c10e083787a7492ff3dfcf1765ec27c6d4ddba5542e78d595b0f7ad9055 |
File details
Details for the file grplot-0.10.4-py3-none-any.whl.
File metadata
- Download URL: grplot-0.10.4-py3-none-any.whl
- Upload date:
- Size: 62.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9eff673c772488a7d031e689124dad126375d2ca86073a5aa793e84cec329313 |
|
| MD5 | 7d8aad59e92094c6bcd3531c414ee45e |
|
| BLAKE2b-256 | e321731093548f3776b2d3e059c4872eb14d1fe48375a02bce9dc80a80d31cc3 |
