parameters: (self)
return_statement: return result
docstring: Identify missing values in a Column.
docstring_summary: Identify missing values in a Column.
docstring_tokens: Identify missing values in a Column .
function: def isnull(self) -> ColumnBase:
          """Identify missing values in a Column."""
          result = libcudf.unary.is_null(self)
  
          if self.dtype.kind == "f":
              # Need to consider `np.nan` values incase
              # of a float column
              result = result | libcudf.unary.is_nan(self)
  
          return result
function_tokens: def isnull ( self ) -> ColumnBase : result = libcudf . unary . is_null ( self ) if self . dtype . kind == "f" : # Need to consider `np.nan` values incase # of a float column result = result | libcudf . unary . is_nan ( self ) return result