rok commented on issue #50906:
URL: https://github.com/apache/arrow/issues/50906#issuecomment-5396607247

   On a personal note: this is a lot of text to read and it looks AI generated. 
Please filter responses of your agent to a minimum if you'd want to continue 
this discussion. Further - please provide motivation from a downstream library 
or a personal anecdote showing why this is needed.
   
   As far as I understand the way `scipy.sparse` works is that it converts a 
1-dim array of values into a 2-dim array and then uses the regular codepath see:
   ```python
   >>> import scipy.sparse
   >>> scipy.sparse.csr_matrix([1, 0, 2, 0, 0, 3]).ndim
   2
   ```
   To replicate this behavior I propose we simply reshape the 1-dim array at 
input time.


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