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()
Here is what the above code is Doing:
1. Importing the numpy and pandas libraries.
2. Loading the breast cancer dataset from sklearn.
3. Creating a new dataframe with the data and target columns.
4. Adding the column names to the dataframe.
5. Returning the dataframe.