Sometimes you just need to shift items back in a dataframe (typically with times series data). This is a hackish way to do that :) Enjoy

step_back_ts.py

import pandas as pd

def step_back_ts(frame, ts_col, shift):
    timestamps = pd.DataFrame(frame[ts_col].iloc[shift:], columns=['timestamp'])
    timestamps.reset_index(inplace=True, drop=True)
    for i in range(shift):
        timestamps.loc[len(timestamps)+1, 'timestamp'] = np.nan
    return timestamps