class_docstr: Transpose observations.
code: def __init__(self, env, axes):
      super().__init__(env)
      self._axes = axes
      assert isinstance(env.observation_space, gym.spaces.Box)
      self.observation_space = gym.spaces.Box(
          low=env.observation_space.low.transpose(*self._axes),
          high=env.observation_space.high.transpose(*self._axes),
          dtype=env.observation_space.dtype,
      )
  
imports: import argparse
  import functools
  import os
  import chainer
  from chainer import functions
  from chainer import links
  from chainer import optimizers
  import gym
  import gym.spaces
  import numpy
  import chainerrl
  from chainerrl.action_value import DiscreteActionValue
  from chainerrl import experiments
  from chainerrl import explorers
  from chainerrl import misc
  from chainerrl import replay_buffer
label_desc: Use image node_id 1 to create a new TransposeObservation object from inherited base classes: gym with example: obj = TransposeObservation(env, axes)