class_docstr: Determines if a series is monotonically increasing.
  
  Description:
      Given a list of numeric values, return True if the
      values are strictly increasing. If the series contains
      `NaN` values, they will be skipped.
  
  Examples:
      >>> is_monotonically_increasing = IsMonotonicallyIncreasing()
      >>> is_monotonically_increasing([1, 3, 5, 9])
      True
class_docstr_tok: ["Determines","if","a","series","is","monotonically","increasing",".","Description",":","Given","a","list","of","numeric","values",",","return","True","if","the","values","are","strictly","increasing",".","If","the","series","contains","`","NaN","`","values",",","they","will","be","skipped",".","Examples",":",">",">",">","is_monotonically_increasing","=","IsMonotonicallyIncreasing","(",")",">",">",">","is_monotonically_increasing","(","[","1",",","3",",","5",",","9","]",")","True"]
code: def get_function(self):
      def is_monotonically_increasing(x):
          return x.dropna().is_monotonic_increasing
  
      return is_monotonically_increasing
  
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 IsMonotonicallyIncreasing obj's underlying member method code with example usage: obj.get_function() and returns: is_monotonically_increasing, x