class_docstr: Plotting object allows for visualization of absolute group bias metrics and
  relative disparities calculated by Aequitas Group(), Bias(), and Fairness()
  class instances.
docstr: :param key_metrics: Set default absolute group metrics for all subplots
  :param key_disparities: Set default disparity metrics for all subplots
code: def __init__(
      self,
      key_metrics=default_absolute_metrics,
      key_disparities=default_disparities,
  ):
      """
      :param key_metrics: Set default absolute group metrics for all subplots
      :param key_disparities: Set default disparity metrics for all subplots
      """
      self.key_metrics = key_metrics
      self.key_disparities = key_disparities
  
imports: import logging
  import math
  import numpy
  import collections
  import seaborn
  import matplotlib.pyplot
  import matplotlib.colors
  import matplotlib.cm
  from aequitas import squarify_flipped
label_desc: Use image node_id 1 to create a new Plot object from inherited base classes: object with example: obj = Plot(key_metrics, key_disparities)