In [1]: from scipy import sparse

In [2]: import numpy as np

In [3]: X = sparse.dok_array([[1, 2], [0, 3], [4, 0]])

In [4]: for row in X:
   ...:     print(row)
   ...: 
---------------------------------------------------------------------------
NotImplementedError                       Traceback (most recent call last)
Cell In[4], line 1
----> 1 for row in X:
      2     print(row)

File ~/mambaforge/envs/dev/lib/python3.10/site-packages/scipy/sparse/_base.py:252, in _spbase.__iter__(self)
    250 def __iter__(self):
    251     for r in range(self.shape[0]):
--> 252         yield self[r, :]

File ~/mambaforge/envs/dev/lib/python3.10/site-packages/scipy/sparse/_index.py:51, in IndexMixin.__getitem__(self, key)
     49     return self._get_intXint(row, col)
     50 elif isinstance(col, slice):
---> 51     self._raise_on_1d_array_slice()
     52     return self._get_intXslice(row, col)
     53 elif col.ndim == 1:

File ~/mambaforge/envs/dev/lib/python3.10/site-packages/scipy/sparse/_index.py:38, in IndexMixin._raise_on_1d_array_slice(self)
     30 """We do not currently support 1D sparse arrays.
     31 
     32 This function is called each time that a 1D array would
   (...)
     35 Once 1D sparse arrays are implemented, it should be removed.
     36 """
     37 if self._is_array:
---> 38     raise NotImplementedError(
     39         'We have not yet implemented 1D sparse slices; '
     40         'please index using explicit indices, e.g. `x[:, [0]]`'
     41     )

NotImplementedError: We have not yet implemented 1D sparse slices; please index using explicit indices, e.g. `x[:, [0]]`