class_docstr: The base monitor class. All monitors should inherit from this class.
  Subclasses should implement the following methods:
  - export_schema
  - export_data
  to export the schema and data to the desired format.
docstr: Log a batch of data. The data will be logged as a single column.
docstr_tok: ["Log","a","batch","of","data",".","The","data","will","be","logged","as","a","single","column","."]
code: def log_batch(
      self,
      data_batch: t.Iterable[DT],
      name: str,
      role: str,
      data_type: str,
  ) -> None:
      """
      Log a batch of data. The data will be logged as a single column.
      """
      try:
          for data in data_batch:
              self.log(data, name, role, data_type)
      except TypeError:
          logger.warning(
              "Data batch is not iterable, will ignore the data batch. Please use log() to log a single data."
          )
  
imports: from __future__ import annotations
  import collections
  import contextvars
  import logging
  import typing
label_desc: Use image node_id 7 for calling the MonitorBase obj's underlying member method code with example usage: obj.log_batch(data_batch, name, role, data_type) without return types