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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 as_dataframe(self, time_index=False, absolute_time=False):
 """ Converts the TDMS file to a DataFrame :param time_index: Whether to include a time index for the dataframe. :param absolute_time: If time_index is true, whether the time index values are absolute times or relative to the start time. :return: The full TDMS file data. :rtype: pandas.DataFrame """


        import pandas as pd

        dataframe_dict = OrderedDict()
        for key, value in self.objects.items():
            if value.has_data:
                index = value.time_track(absolute_time) if time_index else None
                dataframe_dict[key] = pd.Series(data=value.data, index=index)
        return pd.DataFrame.from_dict(dataframe_dict)