How to convert a Scikit-learn dataset to a Pandas dataset?

Question

How do I convert data from a Scikit-learn Bunch object to a Pandas DataFrame?

from sklearn.datasets import load_iris
import pandas as pd
data = load_iris()
p         


        

Answer 1

Otherwise use seaborn data sets which are actual pandas data frames:

import seaborn
iris = seaborn.load_dataset("iris")
type(iris)
# 

Compare with scikit learn data sets:

from sklearn import datasets
iris = datasets.load_iris()
type(iris)
# 
dir(iris)
# ['DESCR', 'data', 'feature_names', 'filename', 'target', 'target_names']