import seaborn as sns
iris_dataset = datasets.load_iris()
X = iris_dataset.data
Y = iris_dataset.target
df = pd.DataFrame(X, columns=iris_dataset.feature_names)
sns.pairplot(df)import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
from sklearn import datasets
iris_dataset = datasets.load_iris()
X = iris_dataset.data
Y = iris_dataset.target
iris_dataframe = pd.DataFrame(X, columns=iris_dataset.feature_names)
# Create a scatter matrix from the dataframe, color by y_train
grr = pd.plotting.scatter_matrix(iris_dataframe, c=Y, figsize=(15, 15), marker='o',
hist_kwds={'bins': 20}, s=60, alpha=.8)
pp = sns.pairplot(data=data,
x_vars=['age'],
y_vars=['weight', 'height', 'happiness'])