From 3a7d507045bce0cdc746cf2a5ae2907119e69181 Mon Sep 17 00:00:00 2001 From: Akash Goel Date: Mon, 7 Sep 2026 12:06:25 -0700 Subject: [PATCH 1/2] Fix the license link in the README (#55) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index aea9675..a26075d 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ grplot: lazy statistical data visualization ======================================= -[![PyPI Version](https://img.shields.io/pypi/v/grplot.svg)](https://pypi.org/project/grplot/) [![License](https://img.shields.io/pypi/l/grplot.svg)](https://github.com/ghiffaryr/grplot/blob/master/LICENSE.md) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17159965.svg)](https://doi.org/10.5281/zenodo.17159965) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/grplot/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/grplot) [![PyPI Downloads](https://static.pepy.tech/personalized-badge/grplot?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/grplot) ![Coverage Badge](https://gist.githubusercontent.com/ghiffaryr/8fce7554f72160b59527bd0deecf7666/raw/coverage-badge.svg?sanitize=true) +[![PyPI Version](https://img.shields.io/pypi/v/grplot.svg)](https://pypi.org/project/grplot/) [![License](https://img.shields.io/pypi/l/grplot.svg)](https://github.com/ghiffaryr/grplot/blob/master/LICENSE) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17159965.svg)](https://doi.org/10.5281/zenodo.17159965) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/grplot/badges/latest_release_date.svg)](https://anaconda.org/conda-forge/grplot) [![PyPI Downloads](https://static.pepy.tech/personalized-badge/grplot?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/grplot) ![Coverage Badge](https://gist.githubusercontent.com/ghiffaryr/8fce7554f72160b59527bd0deecf7666/raw/coverage-badge.svg?sanitize=true) 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. From 155e6f9789fee66717a21adbea425d11396f4cdb Mon Sep 17 00:00:00 2001 From: Akash Goel Date: Mon, 7 Sep 2026 12:06:37 -0700 Subject: [PATCH 2/2] Fix typos in the documentation (#56) --- docs/plots/boxenplot.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/plots/boxenplot.rst b/docs/plots/boxenplot.rst index a425eb9..3af8471 100644 --- a/docs/plots/boxenplot.rst +++ b/docs/plots/boxenplot.rst @@ -51,7 +51,7 @@ Draw an enhanced box plot for larger datasets. Method to use for the width of the letter value boxes: - "exponential": Represent the corresponding percentile - "linear": Decrease by a constant amount for each box - "area": Represent the density of data points in that box ``k_depth`` *(str or int, default: 'tukey')* - The number of levels to compute and draw in each tail: - "tukey": Use log2(n) - 3 levels, covering similar range as boxplot whiskers - "proportion": Leave approximately outlier_prop fliers - "trusthworthy": Extend to level with confidence of at least trust_alpha - "full": Use log2(n) + 1 levels and extend to most extreme points + The number of levels to compute and draw in each tail: - "tukey": Use log2(n) - 3 levels, covering similar range as boxplot whiskers - "proportion": Leave approximately outlier_prop fliers - "trustworthy": Extend to level with confidence of at least trust_alpha - "full": Use log2(n) + 1 levels and extend to most extreme points ``outlier_prop`` *(float, default: 0.007)* Proportion of data expected to be outliers; used when k_depth="proportion".