parameters: (self)
docstring: A 1-D array indicating if each value is missing.
  
          Returns
          -------
          na_values : Union[np.ndarray, ExtensionArray]
              In most cases, this should return a NumPy ndarray. For
              exceptional cases like ``SparseArray``, where returning
              an ndarray would be expensive, an ExtensionArray may be
              returned.
  
          Notes
          -----
          If returning an ExtensionArray, then
  
          * ``na_values._is_boolean`` should be True
          * `na_values` should implement :func:`ExtensionArray._reduce`
          * ``na_values.any`` and ``na_values.all`` should be implemented
docstring_summary: A 1-D array indicating if each value is missing.
docstring_tokens: A 1 - D array indicating if each value is missing .
function: def isna(self) -> np.ndarray | ExtensionArraySupportsAnyAll:
          """
          A 1-D array indicating if each value is missing.
  
          Returns
          -------
          na_values : Union[np.ndarray, ExtensionArray]
              In most cases, this should return a NumPy ndarray. For
              exceptional cases like ``SparseArray``, where returning
              an ndarray would be expensive, an ExtensionArray may be
              returned.
  
          Notes
          -----
          If returning an ExtensionArray, then
  
          * ``na_values._is_boolean`` should be True
          * `na_values` should implement :func:`ExtensionArray._reduce`
          * ``na_values.any`` and ``na_values.all`` should be implemented
          """
          raise AbstractMethodError(self)
function_tokens: def isna ( self ) -> np . ndarray | ExtensionArraySupportsAnyAll : raise AbstractMethodError ( self )