<p dir="auto"><em>Original ticket <a href="http://projects.scipy.org/scipy/ticket/1450" rel="nofollow">http://projects.scipy.org/scipy/ticket/1450</a> on 2011-05-31 by trac user coomteng, assigned to <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/wnbell/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/wnbell">@wnbell</a>.</em></p>
<p dir="auto">the amount of nonzero elements are limited by the dtype of indptr in csr/csc_sparse matrix. It is better to convert this dtype from int32 to int64.</p>
<p dir="auto"><em>Original ticket <a href="http://projects.scipy.org/scipy/ticket/1307" rel="nofollow">http://projects.scipy.org/scipy/ticket/1307</a> on 2010-10-13 by trac user peb, assigned to <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/wnbell/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/wnbell">@wnbell</a>.</em></p>
<p dir="auto">compressed.py in scipy.sparse creates arrays with a dtype = intc. This limits the size of a sparse matrix to 2^31 non-zero elements, preventing the solution of very large matrices.</p>
<p dir="auto">It is suggested that a keyword be added to allow these arrays to be created with other dtypes, such at uintc and uint64.</p>