Different binning for histplot as JoinGrid (x,y) marginal plot

Question

I have a pandas dataframe like this:

	Date	Weight	Year	Month	Day	Week	DayOfWeek
0	2017-11-13	76.1	2017	11	13	46	0
1	2017-11-14	76.2	2017	11	14	46	1
2	2017-11-15	76.6	2017	11	15	46	2
3	2017-11-16	77.1	2017	11	16	46	3
4	2017-11-17	76.7	2017	11	17	46	4
...	...	...	...	...	...	...	...

I created a JoinGrid with:

g = sns.JointGrid(data=df,
    x="Date",
    y="Weight",
    marginal_ticks=True,
    height=6, 
    ratio=2, 
    space=.05)

Then a defined joint and marginal plots:

g.plot_joint(sns.scatterplot,
        hue=df["Year"], 
        alpha=.4,
        legend=True)
g.plot_marginals(sns.histplot, 
    multiple="stack", 
    bins=20,
    hue=df["Year"])

Result is this.

Now the question is: "is it possible to specify different binning for the two histplot resulting in the x and y marginal plot?"

Answer 1

I don't think there is a built-in way to do that, by you can plot directly on the marginal axes using the plotting function of your choice, like so:

penguins = sns.load_dataset('penguins')

data = penguins
x_col = "bill_length_mm"
y_col = "bill_depth_mm"
hue_col = "species"

g = sns.JointGrid(data=data, x=x_col, y=y_col, hue=hue_col)
g.plot_joint(sns.scatterplot)

# top marginal
sns.histplot(data=data, x=x_col, hue=hue_col, bins=5, ax=g.ax_marg_x, legend=False, multiple='stack')
# right marginal
sns.histplot(data=data, y=y_col, hue=hue_col, bins=40, ax=g.ax_marg_y, legend=False, multiple='stack')