code: def transpose(self, axes=None, copy=False):
      if axes is None:
          axes = range(self.ndim)[::-1]
      elif isinstance(self, sparray):
          if len(axes) != self.ndim:
              raise ValueError("axes don't match matrix dimensions")
          if len(set(axes)) != self.ndim:
              raise ValueError("repeated axis in transpose")
      elif axes != (1, 0):
          raise ValueError(
              "Sparse matrices do not support an 'axes' "
              "parameter because swapping dimensions is the "
              "only logical permutation."
          )
  
      permuted_shape = tuple(self._shape[i] for i in axes)
      permuted_indices = tuple(self.indices[i] for i in axes)
      return self.__class__(
          (self.data, permuted_indices), shape=permuted_shape, copy=copy
      )
  
imports: import math
  from warnings import warn
  import numpy
  from ._matrix import spmatrix
  from ._sparsetools import coo_tocsr, coo_todense, coo_matvec
  from ._base import issparse, SparseEfficiencyWarning, _spbase, sparray
  from ._data import _data_matrix, _minmax_mixin
  from ._sputils import upcast, upcast_char, to_native, isshape, getdtype, getdata, downcast_intp_index, get_index_dtype, check_shape, check_reshape_kwargs
  import operator
label_desc: Use image node_id 9 for calling the _coo_base obj's underlying member method code with example usage: obj.transpose(axes, copy) and returns: self