text_plain_output_1.png
import matplotlib.pyplot as plt

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

import seaborn as sns

data = pd.read_csv('../input/diabetes.csv')

y = data['Outcome']
feature_data = data.drop('Outcome', axis=1)

correlation = data.corr()
plt.figure(figsize=(10, 10))
sns.heatmap(correlation, annot=True)
plt.title('Correlation between different fearures')