wip/py-joypy 0.2.5 NetBSD

JoyPy is a one-function Python package based on matplotlib + pandas with a single purpose: drawing joyplots (a.k.a. ridgeline plots).

Joyplots are stacked, partially overlapping density plots, simple as that. They are a nice way to plot data to visually compare distributions, especially those that change across one dimension (e.g., over time). Though hardly a new technique, they have become very popular lately thanks to the R package ggjoy (https://github.com/clauswilke/ggjoy) (which is much better developed/maintained than this one -- and I strongly suggest you use that if you can use R and ggplot.) **Update**: the ggjoy package has now been renamed ggridges (https://github.com/clauswilke/ggridges).

A minimal example is the following:

import joypy import pandas as pd

iris = pd.read_csv("data/iris.csv") fig, axes = joypy.joyplot(iris)

By default, `joypy.joyplot()` will draw joyplot with a density subplot for each numeric column in the dataframe. The density is obtained with the `gaussian_kde` function of scipy.