[SciPy-User] Dot product of a matrix and an array
Fri Feb 17 05:00:18 CST 2012
The dot product of a matrix and an array seems to return a matrix.
However, this resulting matrix seems to have inconsistent shape. For
simplicity, let I be an identity matrix (matrix object) and x a vector
(1-d array object). Then np.dot gives wrong dimensions for I*x which
causes that one can not compute I*(I*x).
See the code below:
>>> import numpy as np
>>> x = np.arange(5)
>>> I = np.asmatrix(np.identity(5))
matrix([[ 0., 1., 2., 3., 4.]])
>>> np.dot(I, np.dot(I,x))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: matrices are not aligned
I think np.dot(I,x) should return either 1-d vector (array object) or
2-d column vector (array or matrix object), but NOT 2-d row vector
because that, in my opinion, is incorrect interpretation of the dot product.
Also, I think numpy.dot should return an array object when given an
array and a matrix, because the given array might have more than two
dimensions (which is okay by the definition of numpy.dot) so the
resulting object should be able to handle that.
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