Additional feature scaling techniques in scikit-learn

[ALERT] Use an IDE to solve this task locally and copy the answer into the field[/ALERT]

You have the HouseAge column from the California housing dataset. Perform power transformation with the default parameters. Calculate minimum, maximum, and the standard deviation of the transformed feature. Round the minimum and the maximum to 3 decimal points. Enter 3 values in the specified order, separated by space.

import pandas as pd
from sklearn.datasets import fetch_california_housing

data = fetch_california_housing(as_frame=True)
df = data.frame[['HouseAge']]