function to create lower traiangle pairplots from a dataframe (tmp) and annotate it with correlation values

make_lower_pairplot.py

import seaborn as sns
import pandas as pd

def make_lower_pairplot(tmp, plot_unit_line=True, corrs_method = 'spearman'):
    try:
        g = sns.pairplot(tmp)
    except FloatingPointError as e:
        warnings.warn(e.args)
        return tmp
    g.map_upper(lambda x, y, **kwargs: pl.gca().set_visible(False));
    if plot_unit_line:
        g.map_lower(lambda x, y, **kwargs: pl.plot([0,1], [0,1], '--r'))

    for i in range(g.axes.shape[0]):
        g.axes[i, i].set_visible(False)
        g.diag_axes[i].set_visible(False)

    corrs = tmp.corr(method=corrs_method)    
    for i in range(g.axes.shape[0]):
        for j in range(i):
            ax = g.axes[i ,j]
            ax.text(0.05, 1, "r = {:.2f}".format(corrs.iloc[i,j]), color='red', transform=ax.transAxes)