code: def log_table(
      self,
      key: str,
      columns: List[str] = None,
      data: List[List[Any]] = None,
      dataframe: Any = None,
      step: Optional[int] = None,
  ) -> None:
      table: Optional[Union[pd.DataFrame, List[List[Any]]]] = None
  
      if dataframe is not None:
          table = dataframe
          if columns is not None:
              table.columns = columns
  
      if data is not None:
          table = data
          assert len(columns) == len(
              table[0]
          ), "number of column names should match the total number of columns"
          table.insert(0, columns)
  
      if table is not None:
          self.clearml_task.logger.report_table(
              title=key, series=key, iteration=step, table_plot=table
          )
  
imports: import os
  from argparse import Namespace
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Any, List, Literal, Mapping, Optional, Union
  import pandas
  from lightning_utilities.core.apply_func import apply_to_collection
  from omegaconf import DictConfig, ListConfig, OmegaConf
  from pytorch_lightning.callbacks import Checkpoint
  from pytorch_lightning.loggers import Logger
  from pytorch_lightning.utilities.parsing import AttributeDict
  from torch import Tensor
  from nemo.utils import logging
label_desc: Use image node_id 6 for calling the ClearMLLogger obj's underlying member method code with example usage: obj.log_table(key, columns, data, dataframe, step) without return types