docstr: ivy.Container instance method variant of ivy.swapaxes. This method
  simply wraps the function, and so the docstring for ivy.swapaxes also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      Input container.
  axis0
      First axis to be swapped.
  axis1
      Second axis to be swapped.
  copy
      boolean indicating whether or not to copy the input array.
      If True, the function must always copy.
      If False, the function must never copy and must
      raise a ValueError in case a copy would be necessary.
      If None, the function must reuse existing memory buffer if possible
      and copy otherwise. Default: ``None``.
  out
      optional output array, for writing the result to. It must have a shape
      that the inputs broadcast to.
  
  Returns
  -------
  ret
      x with its axes permuted.
  
  Examples
  --------
  >>> a = ivy.array([[1, 2, 3], [4, 5, 6]])
  >>> b = ivy.array([[7, 8, 9], [10, 11, 12]])
  >>> x = ivy.Container(a = a, b = b)
  >>> y = x.swapaxes(0, 1)
  >>> print(y)
  {
      a: ivy.array([[1, 4],
                    [2, 5],
                    [3, 6]]),
      b: ivy.array([[7, 10],
                    [8, 11],
                    [9, 12]])
  }
code: def swapaxes(
      self: ivy.Container,
      axis0: Union[int, ivy.Container],
      axis1: Union[int, ivy.Container],
      /,
      *,
      copy: Optional[Union[bool, ivy.Container]] = None,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container instance method variant of ivy.swapaxes. This method
      simply wraps the function, and so the docstring for ivy.swapaxes also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          Input container.
      axis0
          First axis to be swapped.
      axis1
          Second axis to be swapped.
      copy
          boolean indicating whether or not to copy the input array.
          If True, the function must always copy.
          If False, the function must never copy and must
          raise a ValueError in case a copy would be necessary.
          If None, the function must reuse existing memory buffer if possible
          and copy otherwise. Default: ``None``.
      out
          optional output array, for writing the result to. It must have a shape
          that the inputs broadcast to.
  
      Returns
      -------
      ret
          x with its axes permuted.
  
      Examples
      --------
      >>> a = ivy.array([[1, 2, 3], [4, 5, 6]])
      >>> b = ivy.array([[7, 8, 9], [10, 11, 12]])
      >>> x = ivy.Container(a = a, b = b)
      >>> y = x.swapaxes(0, 1)
      >>> print(y)
      {
          a: ivy.array([[1, 4],
                        [2, 5],
                        [3, 6]]),
          b: ivy.array([[7, 10],
                        [8, 11],
                        [9, 12]])
      }
      """
      return self._static_swapaxes(
          self,
          axis0,
          axis1,
          copy=copy,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Tuple, Dict, Iterable, Sequence
  from numbers import Number
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 28 for calling the _ContainerWithManipulation obj's underlying member method code with example usage: obj.swapaxes() and returns: self