On Fri, Nov 20, 2015 at 6:29 PM, CJ Carey <perimosocord...@gmail.com> wrote:
> The short answer is: "kind of". > > These two Github issues explain what's going on more in-depth: > https://github.com/scipy/scipy/issues/3995 > https://github.com/scipy/scipy/issues/4239 > Thanks, I didn't pay attention to those issues, or only very superficially. +1 for doing anything else than converting to object arrays. > > > As for the warning only showing once, that's Python's default behavior for > warnings: http://stackoverflow.com/q/22661745/10601 > The default should be overwritten for warnings that are always relevant. I usually don't use sparse arrays, and don't know if this should always warn. Josef > > -CJ > > On Fri, Nov 20, 2015 at 2:40 PM, <josef.p...@gmail.com> wrote: > >> Is this intentional? >> >> >> >>> exog >> <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format> >> >> >>> np.asarray(exog) >> array(<50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>, dtype=object) >> >> >> I'm just a newbie who thought to use the usual pattern. >> >> >> .... >> >> >>> np.asarray(exog).dot(beta) >> array([ <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>, >> <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>, >> <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>, >> <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>, >> <50x5 sparse matrix of type '<class 'numpy.float64'>' >> with 50 stored elements in Compressed Sparse Column format>], >> dtype=object) >> C:\programs\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\site-packages\scipy\sparse\compressed.py:306: >> SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is >> inefficient, using <, >, or !=, instead. >> "using <, >, or !=, instead.", SparseEfficiencyWarning) >> >> seems to warn only once >> >> >>> y = np.asarray(exog).dot(beta) >> >>> y.shape >> (5,) >> >> >> >>> np.__version__ >> '1.9.2rc1' >> >> >>> scipy.__version__ >> '0.15.1' >> >> >> >> Josef >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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