class_docstr: Bar plot. This is an internal plot targeted for developers, not intended for
  end-users.
  
  Parameters
  ----------
  count : dict
      A dictionary whose keys are labels and values are counts
  
  color : string, default=None
      Color for the bars, must be a valid matplotlib color
  
  name : string, default=None
      A value to identify this plot
  
  Notes
  -----
  .. versionadded:: 0.9
  
  
  Examples
  --------
  
  Create plot:
  
  .. plot::
  
      from sklearn_evaluation.plot._example import MyBar
      MyBar.from_raw_data(["banana", "banana", "apple", "pineapple", "apple"],
                              color="lightblue")
  
  Compare plots:
  
  
  .. plot::
  
      from sklearn_evaluation.plot._example import MyBar
      one = MyBar.from_raw_data(["banana", "banana", "apple", "pineapple", "apple"])
      another = MyBar.from_raw_data(["banana", "apple",  "pineapple"])
      one + another
code: def __sub__(self, another):
      return MyBarSub(counts=[self.count, another.count]).plot()
  
imports: from collections import Counter
  import numpy
  import matplotlib.pyplot
  from sklearn_evaluation import __version__
  from sklearn_evaluation.plot.plot import AbstractComposedPlot, AbstractPlot
label_desc: Use image node_id 5 for calling the MyBar obj's underlying member method code with example usage: obj.__sub__(another) and returns: MyBarSub