code: def __init__(
      self,
      headers: bool = False,
      namespace: Optional[str] = None,
      fig_args: Optional[Dict[str, Any]] = None,
      **kwargs,
  ) -> None:
      super().__init__(namespace, **kwargs)
      self.headers = headers
      if fig_args is None:
          fig_args = {}
      self.fig_args = fig_args
  
imports: from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple, Type, Union
  import matplotlib.pyplot
  import numpy
  import pandas
  import seaborn
  from scipy import stats
  from scipy.cluster import hierarchy
  from sklearn.inspection import PartialDependenceDisplay
  from autogluon.common.features.types import R_BOOL, R_CATEGORY, R_DATETIME, R_FLOAT, R_INT, R_OBJECT
  from ..state import AnalysisState
  from .base import AbstractVisualization
  from .jupyter import JupyterMixin
label_desc: Use image node_id 1 to create a new _AbstractCorrelationChart object from inherited base classes: AbstractVisualization, JupyterMixin, ABC with example: obj = _AbstractCorrelationChart(headers, namespace, fig_args)