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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 fix_timezone(df, freq, tz=None):
 """ set timezone for pandas """

    index_name = df.index.name

    # fix timezone
    if isinstance(df.index[0], str):
        # timezone df exists
        if ("-" in df.index[0][-6:]) | ("+" in df.index[0][-6:]):
            df.index = pd.to_datetime(df.index, utc=False)
            df.index = df.index.tz_localize('UTC').tz_convert(tz)

        # no timezone df - do some resampling
        else:
            # original range
            start_range = df.index[0]
            end_range = df.index[-1]

            # resample df
            df.index = pd.to_datetime(df.index, utc=True)
            df = resample(df, resolution=freq, ffill=False, dropna=False)

            # create date range
            new_freq = ''.join(i for i in freq if not i.isdigit())
            rng = pd.date_range(start=start_range,
                                end=end_range, tz=tz, freq=new_freq)

            # assign date range to df and drop empty rows
            df.index = rng
            df.dropna(inplace=True)

    # finalize timezone (also for timezone-aware df)
    df = set_timezone(df, tz=tz)

    df.index.name = index_name
    return df