I have a sparse matrix of size *(n x m)*:

```
sparse_dtm = dok_matrix((num_documents, vocabulary_size), dtype=np.float32)
        for doc_index, document in enumerate(data):
            document_counter = Counter(document)
            for word in set(document):
                sparse_dtm[doc_index, word_to_index[word]] = document_counter[word]

```

Where:

* num\_documents = n
* vocabulary\_size = m
* data = list of tokenized lists

Also, I have a list with length `n`:

`sums = sparse_dtm.sum(1).tolist()`

Now, I want to do an element-wise division in which each cell of `row_i` in `sparse_dtm` is divided by `sums[i]`.

A naive approach, using the traditition Python element-wise division:

`sparse_dtm / sums` 

Leads into the following error:

`TypeError: unsupported operand type(s) for /: 'csr_matrix' and 'list'`

How can I perform this element-wise division?