How do I stack multiple matplotlib figures in one figure and plot it?

I have a function that plots a graph with 5 columns, and I call this function

# Seaborn prints warnings if histogram has small values. We can ignore them for now
import warnings
warnings.filterwarnings('ignore')
import numpy as np
ax_arr = []
fig_arr = []
## Create a plot for every activation function
# enumerate enumerates between index and dictionary key
i = 0
for k, act_fns in act_fn_by_name.items():
    act_fn = act_fns()
    set_seed(42) # Setting the seed ensures that we have the same weight initialization for each activation function
    net_actfn = BaseNetwork(act_fn=act_fn).to(device)
    fig, ax = visualize_gradients(net_actfn, color=f"C{i}") # plotting function
    
    ax_arr.append(ax)
    fig_arr.append(fig)
    i+=1

Instead of plotting them all individually within the function, I want to plot all subplots in a 6 by 5 figure.

I thought of collecting a list of figures and axes from the function and using the matplotlib.figure.Figure and array of AxesSubplot to reconstruct the plots.

Does matplotlib work in that way at all?