from sklearn.model_selection import TimeSeriesSplit tscv = TimeSeriesSplit(n_splits=5) keep = [] for train_p, test_p in tscv.split(data_g.tavg): keep.append([train_p, test_p]) # create DataFrame from each TimeSeriesSplit and keep them in a list keep_df = [] for i in keep:...