Create a :class:`pandas.DataFrame` of all rows in the stream.

        This method requires the pandas libary to create a data frame and the
        fastavro library to parse row blocks.

        .. warning::
            DATETIME columns are not supported. They are currently parsed as
            strings in the fastavro library.

        Args:
            dtypes ( \
                Map[str, Union[str, pandas.Series.dtype]] \
            ):
                Optional. A dictionary of column names pandas ``dtype``s. The
                provided ``dtype`` is used when constructing the series for
                the column specified. Otherwise, the default pandas behavior
                is used.

        Returns:
            pandas.DataFrame:
                A data frame of all rows in the stream.

def to_dataframe(self, dtypes=None):
        """Create a :class:`pandas.DataFrame` of all rows in the stream.

        This method requires the pandas libary to create a data frame and the
        fastavro library to parse row blocks.

        .. warning::
            DATETIME columns are not supported. They are currently parsed as
            strings in the fastavro library.

        Args:
            dtypes ( \
                Map[str, Union[str, pandas.Series.dtype]] \
            ):
                Optional. A dictionary of column names pandas ``dtype``s. The
                provided ``dtype`` is used when constructing the series for
                the column specified. Otherwise, the default pandas behavior
                is used.

        Returns:
            pandas.DataFrame:
                A data frame of all rows in the stream.
        """
        if pandas is None:
            raise ImportError(_PANDAS_REQUIRED)

        frames = []
        for page in self.pages:
            frames.append(page.to_dataframe(dtypes=dtypes))
        return pandas.concat(frames)