pairplot_with_corr.py

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

def annotate_w_xy_corr(x, y, **kwargs):
    coef = np.corrcoef(x, y)[0][1]
    label = r'corr = ' + str(round(coef,3))
    ax = plt.gca()
    ax.annotate(label, xy = (0.3, .07), xycoords = ax.transAxes, c='darkred') #size = 18

def pairplot_w_corr(df : pd.DataFrame):        
        
    sns.set(font_scale=1.2)
    g = sns.PairGrid(df)
    g.fig.subplots_adjust(top=0.93)
    g.fig.suptitle(f'sample = {len(df)} points')
    g.map_upper(sns.scatterplot)
    g.map_upper(annotate_w_xy_corr)
    g.map_lower(sns.scatterplot)
    g.map_lower(annotate_w_xy_corr)
    g.map_diag(sns.histplot, color='black')
    
pairplot_w_corr(df=samp)