def write_points(self, data, *args, **kwargs):
        """
        Write to multiple time series names.

        :param data: A dictionary mapping series names to pandas DataFrames
        :param time_precision: [Optional, default 's'] Either 's', 'm', 'ms'
            or 'u'.
        :param batch_size: [Optional] Value to write the points in batches
            instead of all at one time. Useful for when doing data dumps from
            one database to another or when doing a massive write operation
        :type batch_size: int
        """

        batch_size = kwargs.get('batch_size')
        time_precision = kwargs.get('time_precision', 's')
        if batch_size:
            kwargs.pop('batch_size')  # don't hand over to InfluxDBClient
            for key, data_frame in data.items():
                number_batches = int(math.ceil(
                    len(data_frame) / float(batch_size)))
                for batch in range(number_batches):
                    start_index = batch * batch_size
                    end_index = (batch + 1) * batch_size
                    data = [self._convert_dataframe_to_json(
                        name=key,
                        dataframe=data_frame.ix[start_index:end_index].copy(),
                        time_precision=time_precision)]
                    InfluxDBClient.write_points(self, data, *args, **kwargs)
            return True
        else:
            data = [self._convert_dataframe_to_json(
                name=key, dataframe=dataframe, time_precision=time_precision)
                for key, dataframe in data.items()]
            return InfluxDBClient.write_points(self, data, *args, **kwargs)
dataset/ETHPy150Open influxdata/influxdb-python/influxdb/influxdb08/dataframe_client.py/DataFrameClient.write_points/original