Ondrej Certik wrote:
Let's clean this up. I sent an email to the numpy-list asking for an advice:
http://projects.scipy.org/pipermail/numpy-discussion/2008-June/034801.html
I agree with Robert Kern's view that sympy.Matrix should not be tied to
numpy.matrix - the latter in numpy has a
Hi,
Just a quick note that could be relevant to the discussion:
check also out
http://code.google.com/p/sympycore/wiki/MatrixSupportIdeas
that contains ideas how to deal with mutable matrices in
operations where they should be immutable, all in a very efficient
way.
The idea is based on using
On Mon, Jun 9, 2008 at 10:40 AM, Pearu Peterson
[EMAIL PROTECTED] wrote:
Hi,
Just a quick note that could be relevant to the discussion:
check also out
http://code.google.com/p/sympycore/wiki/MatrixSupportIdeas
that contains ideas how to deal with mutable matrices in
operations where
So that's not how I would like this to be. It should either work for
all functions or for no functions.
I see. I do not use numpy matrices anyway, just arrays, as they are not
really the linear algebra matrices, only arrays with some peculiar
modifications - they have no extra value that
Let's clean this up. I sent an email to the numpy-list asking for an advice:
http://projects.scipy.org/pipermail/numpy-discussion/2008-June/034801.html
The ultimate reason that Matrix is not a subclass of a Basic is that
it is mutable, while SymPy objects need to be immutable, so that when
you
Disadvantage -- if one needs to set entries of a Matrix using the
syntax A[1, 2] = y not only at the beginning of the calculaton, but
also in the middle, then he would have to do: A = Matrix(Array(A)[1,2]
= y). Of course A[1,2] = y would create an exception saying: use the
A =
On Thu, Jun 5, 2008 at 4:20 PM, Ondrej Certik [EMAIL PROTECTED] wrote:
On Thu, Jun 5, 2008 at 3:50 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
Hi,
In [16]: sympy.__version__
Out[16]: '0.5.15-hg'
In [19]: K = sympy.Matrix(nm.array(1, ndmin = 2))
In [20]: sympy.sympify(K)
...
On Thu, Jun 5, 2008 at 3:50 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
Hi,
In [16]: sympy.__version__
Out[16]: '0.5.15-hg'
In [19]: K = sympy.Matrix(nm.array(1, ndmin = 2))
In [20]: sympy.sympify(K)
...
NotImplementedError: matrix support
Is there a reason for this? Why a Matrix
On Thu, Jun 5, 2008 at 4:32 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
Ondrej Certik wrote:
I just discovered we probably need to think about this:
In [1]: a = Matrix((1, x), (2, y))
In [2]: from numpy import array
In [3]: a
Out[3]:
⎡1 x⎤
⎣2 y⎦
In [4]: Matrix(sin(array(a)))
Out[4]:
Ondrej Certik wrote:
On Thu, Jun 5, 2008 at 4:32 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
Ondrej Certik wrote:
I just discovered we probably need to think about this:
In [1]: a = Matrix((1, x), (2, y))
In [2]: from numpy import array
In [3]: a
Out[3]:
⎡1 x⎤
⎣2 y⎦
In [4]:
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