docstr: Returns a matrix with the same sparsity structure as self,
  but with different data. By default the index arrays are copied.
docstr_tok: ["Returns","a","matrix","with","the","same","sparsity","structure","as","self",",","but","with","different","data",".","By","default","the","index","arrays","are","copied","."]
code: def _with_data(self, data, copy=True):
      """Returns a matrix with the same sparsity structure as self,
      but with different data. By default the index arrays are copied.
      """
      if copy:
          indices = tuple(idx.copy() for idx in self.indices)
      else:
          indices = self.indices
      return self.__class__(
          (data, indices), shape=self.shape, dtype=data.dtype
      )
  
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 19 for calling the _coo_base obj's underlying member method code with example usage: obj._with_data(data, copy) and returns: self