Pairplot example

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.datasets import load_breast_cancer
sns.set()
data = load_breast_cancer()
breast_cancer_df = pd.DataFrame(data['data'])
breast_cancer_df.columns = data['feature_names']
breast_cancer_df['target'] = data['target']
breast_cancer_df['diagnosis'] = [data['target_names'][x] for x in data['target']]
sns.set()
corr = breast_cancer_df[list(data['feature_names'])].corr(method='pearson')

cols = ['worst concave points', 'mean concavity', 
        'worst perimeter', 'worst radius', 
        'worst area']

sns.pairplot(breast_cancer_df,
             x_vars = cols,
             y_vars = cols,
             hue = 'diagnosis', 
             palette = ('Red', '#875FDB'), 
             markers=["o", "D"])