import numpy as np
import pandas as pd
np.random.seed(123)
df = pd.DataFrame(np.random.randn(100,3)).add_prefix('col')
windows = [5, 15, 30, 45]
stats = ['mean', 'std']
cols = pd.MultiIndex.from_product([windows, df.columns, stats],
names=['window', 'feature', 'metric'])
df2 = pd.DataFrame(np.empty((df.shape[0], len(cols))), columns=cols,
index=df.index)
for window in windows:
df2.loc[:, window] = df.rolling(window=window).agg(stats).values