parameters: (self)
return_statement: return self._codes == -1
docstring: Detect missing values
  
          Missing values (-1 in .codes) are detected.
  
          Returns
          -------
          np.ndarray[bool] of whether my values are null
  
          See Also
          --------
          isna : Top-level isna.
          isnull : Alias of isna.
          Categorical.notna : Boolean inverse of Categorical.isna.
docstring_summary: Detect missing values
docstring_tokens: Detect missing values
function: def isna(self) -> np.ndarray:
          """
          Detect missing values
  
          Missing values (-1 in .codes) are detected.
  
          Returns
          -------
          np.ndarray[bool] of whether my values are null
  
          See Also
          --------
          isna : Top-level isna.
          isnull : Alias of isna.
          Categorical.notna : Boolean inverse of Categorical.isna.
  
          """
          return self._codes == -1
function_tokens: def isna ( self ) -> np . ndarray : return self . _codes == - 1