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

Whatever TomDLT answered it may not work for some of you because

data1 = pd.DataFrame(data= np.c_[iris['data'], iris['target']],
                 columns= iris['feature_names'] + ['target'])

because iris['feature_names'] returns you a numpy array. In numpy array you can't add an array and a list ['target'] by just + operator. Hence you need to convert it into a list first and then add.

You can do

data1 = pd.DataFrame(data= np.c_[iris['data'], iris['target']],
                 columns= list(iris['feature_names']) + ['target'])

This will work fine tho..