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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 to_dataframe(self, fieldnames=(), verbose=True, index=None, coerce_float=False, datetime_index=False):
 """ Returns a DataFrame from the queryset Paramaters fieldnames: The model field names(columns) to utilise in creating the DataFrame. You can span a relationships in the usual Django ORM way by using the foreign key field name separated by double underscores and refer to a field in a related model. index: specify the field to use for the index. If the index field is not in fieldnames it will be appended. This is mandatory for timeseries. verbose: If this is ``True`` then populate the DataFrame with the human readable versions for foreign key fields else use the actual values set in the model coerce_float: Attempt to convert values to non-string, non-numeric objects (like decimal.Decimal) to floating point. datetime_index: specify whether index should be converted to a DateTimeIndex. """


        return read_frame(self, fieldnames=fieldnames, verbose=verbose,
                          index_col=index, coerce_float=coerce_float,
                          datetime_index=datetime_index)