Applied Data Analysis in Python

from pandas import DataFrame
from sklearn.datasets import load_iris

iris, iris_target = load_iris(as_frame=True, return_X_y=True)
iris.head()

	sepal length (cm)	sepal width (cm)	petal length (cm)	petal width (cm)
0	5.1	3.5	1.4	0.2
1	4.9	3.0	1.4	0.2
2	4.7	3.2	1.3	0.2
3	4.6	3.1	1.5	0.2
4	5.0	3.6	1.4	0.2

corr = iris.corr()

%matplotlib inline

import seaborn as sns

sns.heatmap(corr, vmin=-1.0, vmax=1.0, cmap="RdBu")

<AxesSubplot: >

from pandas.plotting import scatter_matrix

a = scatter_matrix(iris, figsize=(16, 16), c=iris_target)