class_docstr: Calculates the absolute difference from the previous element
     in a list of numbers.
  
  Description:
      The absolute difference from the previous element is computed for
      all elements in the input. The first item in the output will always
      be nan, since there is no previous element for the first element.
      Elements in the input containing nan will be filled using either a
      forward-fill or backward-fill method, specified by the method argument.
  
  Args:
      method (str): Method to use for filling nan values in reindexed
          Series. Possible values are ['pad', 'ffill', 'backfill', 'bfill'].
          Default is 'ffill'.
  
          `pad / ffill`: propagate last valid observation forward
              to fill gap
  
          `backfill / bfill`: propagate next valid observation backward
              to fill gap
  
      limit (int): The max number of consecutive NaN values in a gap that
          can be filled. Default is None.
  
  Examples:
      >>> absolute_diff = AbsoluteDiff()
      >>> absolute_diff([2, 5, 15, 3]).tolist()
      [nan, 3.0, 10.0, 12.0]
  
      Forward filling of input elements using the 'ffill' argument
  
      >>> absolute_diff_ffill = AbsoluteDiff(method="ffill")
      >>> absolute_diff_ffill([None, 5, 10, 20, None, 10, None]).tolist()
      [nan, nan, 5.0, 10.0, 0.0, 10.0, 0.0]
  
      Backward filling of input element using the 'bfill' argument
  
      >>> absolute_diff_bfill = AbsoluteDiff(method="bfill")
      >>> absolute_diff_bfill([None, 5, 10, 20, None, 10, None]).tolist()
      [nan, 0.0, 5.0, 10.0, 10.0, 0.0, nan]
  
      The number of nan values that are filled can be limited
  
      >>> absolute_diff_limitfill = AbsoluteDiff(limit=2)
      >>> absolute_diff_limitfill([2, None, None, None, 3, 1]).tolist()
      [nan, 0.0, 0.0, nan, nan, 2.0]
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code: def get_function(self):
      def absolute_diff(data):
          return (
              data.fillna(method=self.method, limit=self.limit)
              .diff()
              .abs()
          )
  
      return absolute_diff
  
imports: from woodwork.column_schema import ColumnSchema
  from featuretools.primitives.base import TransformPrimitive
label_desc: Use image node_id 2 for calling the AbsoluteDiff obj's underlying member method code with example usage: obj.get_function() and returns: absolute_diff, data