Yeah Im aware of that, thats the reason why I suggested a warning level as an alternative.
Setting no warnings as default would avoid breaking existing code.
Gesendet:Sonntag, 08. Februar 2015 um 22:08 Uhr
Von:Eelco Hoogendoorn hoogendoorn.ee...@gmail.com
An:Discussion of Numerical Python
On Sun, Feb 8, 2015 at 4:08 PM, Eelco Hoogendoorn
hoogendoorn.ee...@gmail.com wrote:
I personally use Octave and/or Numpy for several years now and never ever
needed braodcasting.
But since it is still there there will be many users who need it, there will
be some use for it.
Uhm, yeah,
On Sun, Feb 8, 2015 at 2:14 PM, Stefan Reiterer dom...@gmx.net wrote:
Yeah I'm aware of that, that's the reason why I suggested a warning level
as an alternative.
Setting no warnings as default would avoid breaking existing code.
*Gesendet:* Sonntag, 08. Februar 2015 um 22:08 Uhr
*Von:*
I dont think this is a good comparison, especially since broadcasting is a feature not a necessity...
Its more like turning off/on driving assistance.
And as already mentioned: other matrix languages also allow it, but they warn about its usage.
This has indeed its merits.
Hi,
On Sun, Feb 8, 2015 at 1:24 PM, Stefan Reiterer dom...@gmx.net wrote:
I don't think this is a good comparison, especially since broadcasting is a
feature not a necessity ...
It's more like turning off/on driving assistance.
And as already mentioned: other matrix languages also allow it,
On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer dom...@gmx.net wrote:
I don't think this is a good comparison, especially since broadcasting is
a feature not a necessity ...
It's more like turning off/on driving assistance.
And as already mentioned: other matrix languages also allow it, but
On Sun, 8 Feb 2015, Stefan Reiterer wrote:
And as already mentioned: other matrix languages also allow it, but they warn
about it's usage.
This has indeed it's merits.
numpy isn't a matrix language. They're arrays. Storing numbers that you are
thinking of as a vector in an array doesn't
Hi,
On Sun, Feb 8, 2015 at 1:39 PM, Simon Wood sgwoo...@gmail.com wrote:
On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer dom...@gmx.net wrote:
I don't think this is a good comparison, especially since broadcasting is
a feature not a necessity ...
It's more like turning off/on driving
Hi!
As shortly discussed on github:
https://github.com/numpy/numpy/issues/5541
I personally think that silent Broadcasting is not a good thing. I had recently a lot
of trouble with row and column vectors which got bradcastet toghether altough it was
more annoying than useful, especially
I personally use Octave and/or Numpy for several years now and never
ever needed braodcasting.
But since it is still there there will be many users who need it, there
will be some use for it.
Uhm, yeah, there is some use for it. Im all for explicit over implicit, but
personally current
Actually I use numpy for several years now, and I love it.
The reason that I think silent broadcasting of sums is bad
comes simply from the fact, that I had moretrouble with it, than it helped me.
I wont stop using numpy because of that, but I think this behavior may backfire,
and thats the
On Sun, Feb 8, 2015 at 4:56 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Sun, Feb 8, 2015 at 1:39 PM, Simon Wood sgwoo...@gmail.com wrote:
On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer dom...@gmx.net wrote:
I don't think this is a good comparison, especially since broadcasting
On Sun, Feb 8, 2015 at 5:17 PM, Stefan Reiterer dom...@gmx.net wrote:
Actually I use numpy for several years now, and I love it.
The reason that I think silent broadcasting of sums is bad
comes simply from the fact, that I had more trouble with it, than it helped
me.
I won't stop using numpy
On 8 Feb 2015 13:39, Simon Wood sgwoo...@gmail.com wrote:
I find the broadcasting aspect of Numpy a turn off. If I go to add a 1x3
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.
On Sun, Feb 8, 2015 at 5:28 PM, josef.p...@gmail.com wrote:
On Sun, Feb 8, 2015 at 4:56 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Sun, Feb 8, 2015 at 1:39 PM, Simon Wood sgwoo...@gmail.com wrote:
On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer dom...@gmx.net wrote:
Simon Wood sgwoo...@gmail.com wrote:
Not quite the same. This is not so much about language semantics as
mathematical definitions. You (the Numpy community) have decided to
overload certain mathematical operators to act in a way that is not
consistent with linear algebra teachings.
We have
On 08/02/15 23:17, Stefan Reiterer wrote:
Actually I use numpy for several years now, and I love it.
The reason that I think silent broadcasting of sums is bad
comes simply from the fact, that I had more trouble with it, than it
helped me.
In Fortran 90, broadcasting allows us to write
Ok that are indeed some good reasons to keep the status quo, especially since performance is crucial for numpy.
Its a dillemma: Using the matrix class for linear algebra would be the correct way for such thing,
but the matrix API is not that powerful and beautiful as the one of arrays.
On
On 2015/02/08 12:43 PM, josef.p...@gmail.com wrote:
For me the main behavior I had to adjust to was loosing a dimension in
any reduce operation, mean, sum, ...
if x is 2d
x - x.mean(1)
we loose a dimension, and it doesn't broadcast in the right direction
Though you can use:
x_demeaned =
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