Change position of marginal axis in seaborn jointplot

Question

Seaborn by default plots the marginal distributions on the top and right of the main plot. Is it possible to change this location (e.g., to bottom and left)?

A minimal example, using the seaborn documentation:

tips = sns.load_dataset("tips")
g = sns.jointplot(x="total_bill", y="tip", data=tips)

gives...

Answer 1

It is a bit tedious, but you can adapt this example to your needs. It uses a make_axes_locatable divider. Changing this from top to bottom and from right to left is no problem, but then you need to change the labelling and ticks on all axes.

import seaborn as sns
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable


tips = sns.load_dataset("tips")
x = tips["total_bill"]
y = tips["tip"]

fig, axScatter = plt.subplots(figsize=(5.5, 5.5))
fig.subplots_adjust(.1,.1,.9,.9)

axScatter.scatter(x, y)

divider = make_axes_locatable(axScatter)
axHistx = divider.append_axes("bottom", 1.2, pad=0.1, sharex=axScatter)
axHisty = divider.append_axes("left", 1.2, pad=0.1, sharey=axScatter)

# make some labels invisible
axHistx.tick_params(labelbottom=False, bottom=False, 
                    left=False, labelleft=False, right=True, labelright=True)
axHisty.tick_params(labelleft=False, left=False, 
                    bottom=False, labelbottom=False, top=True, labeltop=True)
axHistx.invert_yaxis()
axHisty.invert_xaxis()
axScatter.xaxis.tick_top()
axScatter.yaxis.tick_right()
axScatter.xaxis.set_label_position('top')
axScatter.yaxis.set_label_position('right')
axScatter.set(xlabel="Total Bill", ylabel="Tip")

axHistx.hist(x, bins=16, density=True)
axHisty.hist(y, bins=16, density=True, orientation='horizontal')

plt.show()