text_html_output_1.png
import matplotlib.pyplot as plt # data visualsion

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns # data visualsion

df = pd.read_csv('../input/Mall_Customers.csv')

df.isnull().sum()

sns.set(style='whitegrid')

sns.set(style='whitegrid')

sns.set(style='whitegrid')

corr = df.corr()
colormap = sns.diverging_palette(220, 10, as_cmap=True)
plt.figure(figsize=(8, 6))
sns.heatmap(corr, xticklabels=corr.columns.values, yticklabels=corr.columns.values, annot=True, fmt='.2f', linewidths=0.3, cmap=colormap, linecolor='white')
plt.title('Correlation of df Features', y=1.05, size=10)