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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def standby(df, resolution='24h', time_window=None):
 """ Compute standby power Parameters df : pandas.DataFrame or pandas.Series Electricity Power resolution : str, default='d' Resolution of the computation. Data will be resampled to this resolution (as mean) before computation of the minimum. String that can be parsed by the pandas resample function, example ='h', '15min', '6h' time_window : tuple with start-hour and end-hour, default=None Specify the start-time and end-time for the analysis. Only data within this time window will be considered. Both times have to be specified as string ('01:00', '06:30') or as datetime.time() objects Returns ------- df : pandas.Series with DateTimeIndex in the given resolution """


    if df.empty:
        raise EmptyDataFrame()

    df = pd.DataFrame(df)  # if df was a pd.Series, convert to DataFrame
    def parse_time(t):
        if isinstance(t, numbers.Number):
            return pd.Timestamp.utcfromtimestamp(t).time()
        else:
            return pd.Timestamp(t).time()


    # first filter based on the time-window
    if time_window is not None:
        t_start = parse_time(time_window[0])
        t_end = parse_time(time_window[1])
        if t_start > t_end:
            # start before midnight
            df = df[(df.index.time >= t_start) | (df.index.time < t_end)]
        else:
            df = df[(df.index.time >= t_start) & (df.index.time < t_end)]

    return df.resample(resolution).min()