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leotac avatar leotac commented on August 19, 2024 1

You're welcome.
To be clear -- the "axes" returned by joyplot, for a plot with 4 density plots like the one in the example above, is a list of 5 axes: the first four are the axis of the small plots, the last axis is the "global" one. I should add comments/docs that specify this better.

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leotac avatar leotac commented on August 19, 2024

There's no easy way - but to work on the "global" axis, you should consider the last of the axes returned by joyplot(), i.e., axes[-1], whose y axis is not visible by default.
Then you can work on it as you with, after you made it visible again. But you need to manually take care of hiding the ticks, maybe moving the title on the right, and so on.

Quick (and ugly) example:

%matplotlib inline
import joypy
import pandas as pd
from matplotlib import pyplot as plt

iris = pd.read_csv("data/iris.csv")
fig, axes = joypy.joyplot(iris)
ax = axes[-1]
ax.yaxis.set_label_position("right")
ax.set_ylabel("TestLabel")
ax.yaxis.set_visible(True)
ax.yaxis.set_ticks([])

image

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dirmeier avatar dirmeier commented on August 19, 2024

Awesome! That's a great idea, thanks!

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