class_docstr: Determines if a series is monotonically decreasing.
  
  Description:
      Given a list of numeric values, return True if the
      values are strictly decreasing. If the series contains
      `NaN` values, they will be skipped.
  
  Examples:
      >>> is_monotonically_decreasing = IsMonotonicallyDecreasing()
      >>> is_monotonically_decreasing([9, 5, 3, 1])
      True
class_docstr_tok: ["Determines","if","a","series","is","monotonically","decreasing",".","Description",":","Given","a","list","of","numeric","values",",","return","True","if","the","values","are","strictly","decreasing",".","If","the","series","contains","`","NaN","`","values",",","they","will","be","skipped",".","Examples",":",">",">",">","is_monotonically_decreasing","=","IsMonotonicallyDecreasing","(",")",">",">",">","is_monotonically_decreasing","(","[","9",",","5",",","3",",","1","]",")","True"]
code: def get_function(self):
      def is_monotonically_decreasing(x):
          return x.dropna().is_monotonic_decreasing
  
      return is_monotonically_decreasing
  
imports: from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import BooleanNullable
  from featuretools.primitives.base import AggregationPrimitive
label_desc: Use image node_id 1 for calling the IsMonotonicallyDecreasing obj's underlying member method code with example usage: obj.get_function() and returns: is_monotonically_decreasing, x