class_docstr: base matrix class for compressed row and column oriented matrices
class_docstr_tok: ["base","matrix","class","for","compressed","row","and","column","oriented","matrices"]
code: def tocoo(self, copy=True):
      major_dim, minor_dim = self._swap(self.shape)
      minor_indices = self.indices
      major_indices = np.empty(
          len(minor_indices), dtype=self.indices.dtype
      )
      _sparsetools.expandptr(major_dim, self.indptr, major_indices)
      row, col = self._swap((major_indices, minor_indices))
  
      from .coo import coo_matrix
  
      return coo_matrix(
          (self.data, (row, col)),
          self.shape,
          copy=copy,
          dtype=self.dtype,
      )
  
imports: from __future__ import division, print_function, absolute_import
  from warnings import warn
  import operator
  import numpy
  from scipy._lib.six import zip
  from scipy._lib._util import _prune_array
  from .base import spmatrix, isspmatrix, SparseEfficiencyWarning
  from .data import _data_matrix, _minmax_mixin
  from .dia import dia_matrix
  from .None import _sparsetools
  from .sputils import upcast, upcast_char, to_native, isdense, isshape, getdtype, isscalarlike, IndexMixin, get_index_dtype, downcast_intp_index, get_sum_dtype, check_shape, matrix, asmatrix
label_desc: Use image node_id 34 for calling the _cs_matrix obj's underlying member method code with example usage: obj.tocoo(copy) and returns: coo_matrix