Does the facility exist within matplotlib to define subplot grids within subplots?

Question

I have a plot layout I want to use where 9 different clusters of data are laid out on a square grid. Each box in the grid contains 3 boxplots laid out side by side.

Answer 1

I think the nested gridspec example here is what you're seeking.

I've adapted their example to a mock-up of the grid pattern you described, which creates a list of axes using gridspec and then iterate over their indices to populate them. This approach should match your need for "a 3x3 subplot layout, with each individual subplot itself being divided into a 3x1 subplot layout."

import matplotlib as mpl
from matplotlib import gridspec
from matplotlib import pyplot as plt

f= plt.figure(figsize=(5, 5))
gs = gridspec.GridSpec(3, 3, wspace=0.5, hspace=0.2) #these are the 9 clusters

for i in range(9):
    nested_gs = gridspec.GridSpecFromSubplotSpec(1, 3, subplot_spec=gs[i], wspace=0.5) # 1 row, 3 columns for each cluster

    for j in range(3): #these are the 3 side by side boxplots within each cluster
        ax = plt.Subplot(f, nested_gs[j])
        ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center", fontsize=9)
        
        #ax.boxplot(data) # this is where you'd add your boxplots to the axes
        
        # the following just cleans up each axes for readability
        for tl in ax.get_xticklabels():
            tl.set_visible(False)
        for tl in ax.get_yticklabels():
            tl.set_visible(False)
            if ax.is_first_col():
                tl.set_visible(True)
                tl.set_fontsize(9)
        f.add_subplot(ax)

f.savefig('nested_subplot.png')

I hope this helps get you started.

edited to include image: