should the return type of matlib.reshape be ndarray or matrix?
Is this the intended behavior? >>> from numpy import matlib >>> m = matlib.reshape([1,2],(2,1)) >>> type(m) <type 'numpy.ndarray'> For any 2d shape, I expected a matrix. (And probably an exception if the shape is not 2d.) Thanks, Alan Isaac
On Wed, Sep 28, 2011 at 9:09 PM, Alan G Isaac <alan.isaac@gmail.com> wrote:
Is this the intended behavior?
>>> from numpy import matlib >>> m = matlib.reshape([1,2],(2,1)) >>> type(m) <type 'numpy.ndarray'>
For any 2d shape, I expected a matrix. (And probably an exception if the shape is not 2d.)
I think you are right. Chuck
Most functions in numpy return ndarray by default. Use numpy.asmatrix() if you want a matrix.
from numpy import matlib, asmatrix m = matlib.reshape([1,2],(2,1)) type(m) <type 'numpy.ndarray'> type( asmatrix(m) ) <class 'numpy.matrixlib.defmatrix.matrix'>
-- Pengkui On Wed, Sep 28, 2011 at 22:09, Alan G Isaac <alan.isaac@gmail.com> wrote:
Is this the intended behavior?
>>> from numpy import matlib >>> m = matlib.reshape([1,2],(2,1)) >>> type(m) <type 'numpy.ndarray'>
For any 2d shape, I expected a matrix. (And probably an exception if the shape is not 2d.)
Thanks, Alan Isaac _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
On 10/3/2011 6:59 PM, Pengkui Luo wrote:
Most functions in numpy return ndarray by default. Use numpy.asmatrix() if you want a matrix.
Please note that the example is using matlib.reshape, not numpy.reshape. Alan Isaac
participants (3)
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Alan G Isaac -
Charles R Harris -
Pengkui Luo