def export_metadata(self, fields=None, forms=None, format='json',
            df_kwargs=None):
        """
        Export the project's metadata

        Parameters
        ----------
        fields : list
            Limit exported metadata to these fields
        forms : list
            Limit exported metadata to these forms
        format : (``'json'``), ``'csv'``, ``'xml'``, ``'df'``
            Return the metadata in native objects, csv or xml.
            ``'df'`` will return a ``pandas.DataFrame``.
        df_kwargs : dict
            Passed to ``pandas.read_csv`` to control construction of
            returned DataFrame.
            by default ``{'index_col': 'field_name'}``

        Returns
        -------
        metadata : list, str, ``pandas.DataFrame``
            metadata sttructure for the project.
        """
        ret_format = format
        if format == 'df':
            from pandas import read_csv
            ret_format = 'csv'
        pl = self.__basepl('metadata', format=ret_format)
        to_add = [fields, forms]
        str_add = ['fields', 'forms']
        for key, data in zip(str_add, to_add):
            if data:
                pl[key] = ','.join(data)
        response, _ = self._call_api(pl, 'metadata')
        if format in ('json', 'csv', 'xml'):
            return response
        elif format == 'df':
            if not df_kwargs:
                df_kwargs = {'index_col': 'field_name'}
            return read_csv(StringIO(response), **df_kwargs)
Export the project's metadata

        Parameters
        ----------
        fields : list
            Limit exported metadata to these fields
        forms : list
            Limit exported metadata to these forms
        format : (``'json'``), ``'csv'``, ``'xml'``, ``'df'``
            Return the metadata in native objects, csv or xml.
            ``'df'`` will return a ``pandas.DataFrame``.
        df_kwargs : dict
            Passed to ``pandas.read_csv`` to control construction of
            returned DataFrame.
            by default ``{'index_col': 'field_name'}``

        Returns
        -------
        metadata : list, str, ``pandas.DataFrame``
            metadata sttructure for the project.