grplot
Advanced tools
grplot is a Python visualization library based on numpy, scipy, matplotlib, seaborn, squarify, pandas, and ipython. It supports human laziness in drawing complete and attractive statistical graphs in just one line of code.
Documentation at grplot repository includes a Documentation Notebook and other useful information.
grplot supports Python 3.6+.
Installation requires numpy, scipy, matplotlib, pandas, and ipython. Some functions will optionally use statsmodels if it is installed.
The latest stable release (and required dependencies) can be installed from PyPI:
pip install grplot
The latest stable release (and required dependencies) can be installed from Conda:
conda install -c conda-forge grplot
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.
FAQs
grplot: lazy statistical data visualization
We found that grplot demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Following multiple malicious extension incidents, Open VSX outlines new safeguards designed to catch risky uploads earlier.
Research
/Security News
Threat actors compromised four oorzc Open VSX extensions with more than 22,000 downloads, pushing malicious versions that install a staged loader, evade Russian-locale systems, pull C2 from Solana memos, and steal macOS credentials and wallets.
Security News
Lodash 4.17.23 marks a security reset, with maintainers rebuilding governance and infrastructure to support long-term, sustainable maintenance.