image_output_1.png
import numpy as np # linear algebra

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

import seaborn

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

import seaborn

cols = ['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm']
cm = np.corrcoef(data[cols].values.T)
heatmap = seaborn.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 15}, yticklabels=cols, xticklabels=cols)