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()from sklearn.datasets import load_iris
import pandas as pd
data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df.head()