how to convert sklearn data sets into data frame code example

Example 1: scikit learn dataset into pandas dataframe

def answer_one(): 
    import numpy as np
    import pandas as pd
    from sklearn.datasets import load_breast_cancer 
    cancer = load_breast_cancer()     
    data = np.c_[cancer.data, cancer.target]
    columns = np.append(cancer.feature_names, ["target"])
    return pd.DataFrame(data, columns=columns)

answer_one()

Example 2: sklearn.utils.bunch to dataframe

from sklearn.datasets import load_iris
import pandas as pd

data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df.head()