Write code that finds all rows in the rate_group column of Pandas with "%" at the end and removes it with regex. Rows without "%" must be replaced with np.nan.

import pandas as pd
import numpy as np

df = pd.DataFrame({'rate_group': ['new', 'new%', 'old', 'old%', 'new%']})

print(df)