The method of rendering matrix pandas scattergram (scatter_matrix) of

In the iris sample data set sklearn

 

import matplotlib.pyplot as plt
from scipy import sparse
import numpy as np
import matplotlib as mt
import pandas as pd
from IPython.display import display
from sklearn.datasets import load_iris
import sklearn as sk
from sklearn.model_selection import  train_test_split

iris=load_iris()
#print(iris)
X_train,X_test,y_train,y_test = train_test_split(iris['data'],iris['target'],random_state=0)
iris_dataframe = pd.DataFrame(X_train,columns=iris.feature_names)
grr = pd.plotting.scatter_matrix(iris_dataframe,c=y_train,figsize=(15,15),marker='o',hist_kwds={'bins':20},s=60,alpha=.8)
plt.show()