How to add labels to the side color bar in clustermap in Seaborn/Python

Question

I have written a Python script as follows to plot a clustermap.

import sys
import importlib
import matplotlib.pyplot as plt

# import PRCC function
import PRCC as prcc
import QSP_analysis as qa

#%%
import numpy as np
from pyDOE2 import lhs
# Reading data
num_samples = 20
num_param = 15
num_readout = 9

header, data = qa.read_csv('3.csv')
param_names = header[1:num_param+1]
read_names = header[num_param+1:]
lhd = data[:,1:num_param+1].astype(float)
readout = data[:,num_param+1:].astype(float)


Rho, Pval, Sig, Pval_correct = prcc.partial_corr(lhd, readout, 1e-14,Type = 'Spearman', MTC='Bonferroni')

sig_txt = np.zeros((num_param, num_readout), dtype='U8')
sig_txt[Pval_correct<5e-2] = '*'
sig_txt[Pval_correct<1e-6] = '**'
sig_txt[Pval_correct<1e-9] = '***'
param_group = ["beige"]*10 + ["khaki"]*(num_param-10)
readout_group = ["#B4B4FF"]*2+ ["mediumslateblue"]*(num_readout-2)
importlib.reload(qa)
cm = qa.cluster_map(np.transpose(Pval), read_names,param_names, 
                  (10,6), cmap="bwr",
                  annot=np.transpose(sig_txt),
                  row_colors = readout_group,
                  col_colors = param_group,
                  col_cluster=False, row_cluster=False,
                  show_dendrogram = [False, False])
cm.savefig('heat.png',format='png', dpi=600,bbox_inches='tight')

The functions in the code are as below:

def read_csv(filename, header_line = 1, dtype = str):
    with open(filename) as csvfile:
        reader = csv.reader(csvfile, delimiter=',', quotechar='|')
        # header
        header = ''
        for i in range(header_line):
            header = next(reader)
        # data
        data = np.asarray(list(reader), dtype = dtype)
        return header, data  

def cluster_map(data, row_label, col_label, fig_size, annot = None,
                show_dendrogram = [True, True], **kwarg):
    
    df = pd.DataFrame(data=data, index = row_label, columns = col_label)
    g = sns.clustermap(df, annot = annot, fmt = '',
                       vmin=-1, vmax=1, cbar_kws={"ticks":[-1, -.5,  0, .5,  1]}, **kwarg)
    #row_order = g.dendrogram_row.reordered_ind
    #col_order = g.dendrogram_col.reordered_ind
    g.ax_heatmap.set_yticklabels(g.ax_heatmap.get_yticklabels(), rotation=0)
    g.ax_heatmap.set_xticklabels(g.ax_heatmap.get_xticklabels(), rotation=-55, ha = 'left')
    g.ax_row_dendrogram.set_visible(show_dendrogram[0])
    g.ax_col_dendrogram.set_visible(show_dendrogram[1])
    g.fig.set_size_inches(*fig_size)
    return g

The PRCC function is a script to call MATLAB and calculate the PRCC value. The main scrip reads a csv file with 20 rows and 24 columns with different headers. The output of the code is a clustermap based on some columns (vertical:read_names and horizontal:param_names).

I have added a color bar to categorize the variables on the horizontal and vertical axes. The output figure is like below. How can add labels to these color-bar: for the horizontal one (ABM" and "QSP") and for the vertical one ("endpoint" and "pretreatment")?

Cluster-map from the script