Display only the lower half (upper half) with seaborn pair plot

Note that there was a way in https://tutorialmore.com/questions-1150768.htm.

import seaborn as sns
import matplotlib.pyplot as plt


def hide_current_axis(*args, **kwds):
    plt.gca().set_visible(False)

#Data frame preparation
X = sns.load_dataset("iris")

#Pair plot
pg = sns.pairplot(X)

#Erase the upper graph = display the lower triangular part
pg.map_upper(hide_current_axis)

#Erase the graph below = Display the upper triangle
# pg.map_lower(hide_current_axis)

#Erase the diagonal part
# pg.map_diag(hide_current_axis)

Or place your favorite graph in any position with pairgrid.

from itertools import groupby
import seaborn as sns
import matplotlib.pyplot as plt


def hide_current_axis(*args, **kwds):
    plt.gca().set_visible(False)

    
def stackedhist(data, stackby, **kwds):
    groups = groupby(zip(stackby, data), lambda x: x[0])
    grouped_data = [[v for _, v in items] for key, items in groups]
    plt.hist(grouped_data, stacked=True, edgecolor='none')

    
#Data frame preparation
X = sns.load_dataset("iris")
    
g = sns.PairGrid(X, diag_sharey=False)
g.map_lower(sns.scatterplot, data=X, hue='species', alpha=0.3, edgecolor='none')
g.map_diag(stackedhist, stackby=X['species'])
g.map_upper(hide_current_axis)