code: def col(self, new_col):
      new_col = np.asarray(new_col, dtype=self.indices[-1].dtype)
      self.indices = self.indices[:-1] + (new_col,)
  
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 5 for calling the _coo_base obj's underlying member method code with example usage: obj.col(new_col) without return types