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()