class_docstr: This class extracts a number of basic text descriptives from FeedbackDataset
  records using the TextDescriptives library and adds them as record metadata.
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docstr: Clean the column name of a dataframe to fit a specific regex pattern.
  Args:
      col_name (str): A column name.
  Returns:
      str: A column name that fits the regex pattern.
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code: def _clean_column_name(self, col_name: str) -> str:
      """
      Clean the column name of a dataframe to fit a specific regex pattern.
      Args:
          col_name (str): A column name.
      Returns:
          str: A column name that fits the regex pattern.
      """
      col_name = col_name.lower()  # Convert to lowercase
      col_name = re.sub(
          r"[^a-z0-9_]", "_", col_name
      )  # Replace non-alphanumeric characters with underscores
      return col_name
  
imports: import logging
  import re
  import warnings
  from typing import Any, List, Optional, Union
  import numpy
  import pandas
  from rich.progress import Progress
  from argilla.client.feedback.dataset.local.dataset import FeedbackDataset
  from argilla.client.feedback.dataset.remote.dataset import RemoteFeedbackDataset
  from argilla.client.feedback.schemas.metadata import FloatMetadataProperty, IntegerMetadataProperty, TermsMetadataProperty
  from argilla.client.feedback.schemas.records import FeedbackRecord
  from argilla.client.feedback.schemas.remote.records import RemoteFeedbackRecord
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 5 for calling the TextDescriptivesExtractor obj's underlying member method code with example usage: obj._clean_column_name(col_name) and returns: col_name