grplot: lazy statistical data visualization
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 function.
Documentation
Online documentation is available at grplot.readthedocs.io.
An interactive Documentation Notebook is also available on Google Colab.
Dependencies
grplot supports Python 3.10+.
Installation requires numpy, scipy, matplotlib, pandas, and ipython. 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
The latest stable release (and required dependencies) can be installed from Conda:
conda install -c conda-forge 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.
Metadata
Release files for grplot 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| grplot-1.0.7.tar.gz | 316.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| grplot-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 676.9 kB
Release files / grplot-1.0.7.tar.gz
| Download URL | grplot-1.0.7.tar.gz |
|---|---|
| Size | 316.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
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Release files / grplot-1.0.7-py3-none-any.whl
| Download URL | grplot-1.0.7-py3-none-any.whl |
|---|---|
| Size | 360.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|