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<div class="moz-cite-prefix">On 08-Feb-15 5:47 PM, Nathaniel Smith
wrote:<br>
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cite="mid:CAPJVwBkr5LFhqkhjQMcAWvVwmh08DeyRdx4sf7c_w5Y2BDjDtA@mail.gmail.com"
type="cite">
<pre wrap="">On 8 Feb 2015 13:39, "Simon Wood" <a class="moz-txt-link-rfc2396E" href="mailto:sgwoodjr@gmail.com"><sgwoodjr@gmail.com></a> wrote:
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I find the broadcasting aspect of Numpy a turn off. If I go to add a 1x3
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<pre wrap="">vector to a 3x1 vector, I want the program to warn me or error out. I don't
want it to do something under the covers that has no mathematical basis or
definition. Also, Octave may provide a warning, but Matlab errors
out..."Matrix dimensions must agree". Which they must, at least in my world.
There may be another matlab/numpy idiom clash here that's affecting this:
in MATLAB, vectors are always 1 x n or n x 1, because of the matrix focused
history. In numpy the idiomatic thing to do is to make vectors
one-dimensional, and then this confusion cannot arise. Indeed, the only
cases I'm thinking of where I even create a 3x1 or 1x3 vector in the first
place are when I'm about to do something clever with broadcasting.
-n
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Perhaps more attention needs to be given to the Matrix class, which
has it's weaknesses.<br>
<br>
Colin W.<br>
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