def write_points(self, dataframe, measurement, tags=None,
                     time_precision=None, database=None, retention_policy=None,
                     batch_size=None):
        if batch_size:
            number_batches = int(math.ceil(
                len(dataframe) / float(batch_size)))
            for batch in range(number_batches):
                start_index = batch * batch_size
                end_index = (batch + 1) * batch_size
                points = self._convert_dataframe_to_json(
                    dataframe.ix[start_index:end_index].copy(),
                    measurement, tags, time_precision
                )
                super(DataFrameClient, self).write_points(
                    points, time_precision, database, retention_policy)
            return True
        else:
            points = self._convert_dataframe_to_json(
                dataframe, measurement, tags, time_precision
            )
            super(DataFrameClient, self).write_points(
                points, time_precision, database, retention_policy)
            return True
Write to multiple time series names.
dataset/ETHPy150Open influxdata/influxdb-python/influxdb/_dataframe_client.py/DataFrameClient.write_points