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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 _replace_missing_values_column(values, mv):
 """ Replace missing values in the values list where applicable :param list values: Metadata (column values) :return list values: Metadata (column values) """

    for idx, v in enumerate(values):
        try:
            if v in EMPTY or v == mv:
                values[idx] = "nan"
            elif math.isnan(float(v)):
                values[idx] = "nan"
            else:
                values[idx] = v
        except (TypeError, ValueError):
            values[idx] = v

    return values