parameters: (self, *args, **kwargs)
return_statement: return np.all(self.values)
docstring: Return whether all elements are Truthy.
  
          Parameters
          ----------
          *args
              Required for compatibility with numpy.
          **kwargs
              Required for compatibility with numpy.
  
          Returns
          -------
          all : bool or array-like (if axis is specified)
              A single element array-like may be converted to bool.
  
          See Also
          --------
          Index.any : Return whether any element in an Index is True.
          Series.any : Return whether any element in a Series is True.
          Series.all : Return whether all elements in a Series are True.
  
          Notes
          -----
          Not a Number (NaN), positive infinity and negative infinity
          evaluate to True because these are not equal to zero.
  
          Examples
          --------
          **all**
  
          True, because nonzero integers are considered True.
  
          >>> pd.Index([1, 2, 3]).all()
          True
  
          False, because ``0`` is considered False.
  
          >>> pd.Index([0, 1, 2]).all()
          False
  
          **any**
  
          True, because ``1`` is considered True.
  
          >>> pd.Index([0, 0, 1]).any()
          True
  
          False, because ``0`` is considered False.
  
          >>> pd.Index([0, 0, 0]).any()
          False
docstring_summary: Return whether all elements are Truthy.
docstring_tokens: Return whether all elements are Truthy .
function: def all(self, *args, **kwargs):
          """
          Return whether all elements are Truthy.
  
          Parameters
          ----------
          *args
              Required for compatibility with numpy.
          **kwargs
              Required for compatibility with numpy.
  
          Returns
          -------
          all : bool or array-like (if axis is specified)
              A single element array-like may be converted to bool.
  
          See Also
          --------
          Index.any : Return whether any element in an Index is True.
          Series.any : Return whether any element in a Series is True.
          Series.all : Return whether all elements in a Series are True.
  
          Notes
          -----
          Not a Number (NaN), positive infinity and negative infinity
          evaluate to True because these are not equal to zero.
  
          Examples
          --------
          **all**
  
          True, because nonzero integers are considered True.
  
          >>> pd.Index([1, 2, 3]).all()
          True
  
          False, because ``0`` is considered False.
  
          >>> pd.Index([0, 1, 2]).all()
          False
  
          **any**
  
          True, because ``1`` is considered True.
  
          >>> pd.Index([0, 0, 1]).any()
          True
  
          False, because ``0`` is considered False.
  
          >>> pd.Index([0, 0, 0]).any()
          False
          """
          nv.validate_all(args, kwargs)
          self._maybe_disable_logical_methods("all")
          # error: Argument 1 to "all" has incompatible type "ArrayLike"; expected
          # "Union[Union[int, float, complex, str, bytes, generic], Sequence[Union[int,
          # float, complex, str, bytes, generic]], Sequence[Sequence[Any]],
          # _SupportsArray]"
          return np.all(self.values)
function_tokens: def all ( self , * args , * * kwargs ) : nv . validate_all ( args , kwargs ) self . _maybe_disable_logical_methods ( "all" ) # error: Argument 1 to "all" has incompatible type "ArrayLike"; expected # "Union[Union[int, float, complex, str, bytes, generic], Sequence[Union[int, # float, complex, str, bytes, generic]], Sequence[Sequence[Any]], # _SupportsArray]" return np . all ( self . values )