Hi,
I noticed that numpy import times significantly are significantly
worse than it used to be, and those are related to recent datetime
related changes:
# One month ago
time python -c import numpy - 141ms
# Now:
time python -c import numpy - 202ms
Using bzr import profiler, most of the
There are some interesting instructions on how to make this work at
http://blog.hyperjeff.net/?p=160.
However I'm not sure that the recommendation to rename the
Apple-supplied version of numpy is consistent with previous advice
I've seen on this mailing list.
--George Nurser.
On Mon, Sep 7, 2009 at 6:00 PM, George Nursergnur...@googlemail.com wrote:
There are some interesting instructions on how to make this work at
http://blog.hyperjeff.net/?p=160.
However I'm not sure that the recommendation to rename the
Apple-supplied version of numpy is consistent with
Is there a better way to achieve the following, perhaps without the
python for loop?
x.shape
(1,3)
y.shape
(1,3)
z = empty(len(x))
for i in range(1):
...z[i] = dot(x[i], y[i])
...
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(x*y).sum(1)
Nadav
-הודעה מקורית-
מאת: numpy-discussion-boun...@scipy.org בשם T J
נשלח: ב 07-ספטמבר-09 12:34
אל: Discussion of Numerical Python
נושא: [Numpy-discussion] Row-wise dot product?
Is there a better way to achieve the following, perhaps without the
python for loop?
Is there a reason why ndarray truth tests (except scalars)
deviates from the convention of other Python iterables
list,array.array,str,dict,... ?
Furthermore there is a surprising strange exception for arrays
with size 1 (!= scalars).
I often run into exceptions and unexpected bahavior like
On 2009-09-07 07:11 , Robert wrote:
Is there a reason why ndarray truth tests (except scalars)
deviates from the convention of other Python iterables
list,array.array,str,dict,... ?
Furthermore there is a surprising strange exception for arrays
with size 1 (!= scalars).
Historically,
Does anyone have a program to generate a file with one line per Numpy function
/ class / method, for local grepping ?
It might be useful for any package with thousands of functions too.
(Grepping a Pypi summary to see what the heck is ... takes 1 second.)
Sorry if this is a duplicate, must exist
From: T J tjhnson at gmail.com
Is there a better way to achieve the following, perhaps without the
python for loop?
x.shape
(1,3)
y.shape
(1,3)
z = empty(len(x))
for i in range(1):
...z[i] = dot(x[i], y[i])
...
___
On Mon, Sep 7, 2009 at 10:09 AM, Hans-Andreas Engeleng...@deshaw.com wrote:
From: T J tjhnson at gmail.com
Is there a better way to achieve the following, perhaps without the
python for loop?
x.shape
(1,3)
y.shape
(1,3)
z = empty(len(x))
for i in range(1):
... z[i] =
On Sun, Sep 6, 2009 at 8:35 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
Rohit Garg wrote:
Hi,
I am using swig to expose a c++ class to Python. I am wondering if it
is safe to use the -fno-exceptions option while compiling the
wrappers. I am also using the typemaps present in the
Let
a=np.ma.masked_invalid(np.array([-1,np.nan,-2,-3, np.nan]))
b=np.ma.masked_invalid(np.array([-2,-3, -1,np.nan,np.nan]))
I'd like to choose the lesser element (component-wise) of a and b.
If the two elements are comparable, I want the lesser element.
If one element is a number and
On Mon, Sep 7, 2009 at 2:46 PM, nathanielpeterso...@gmail.com wrote:
Let
a=np.ma.masked_invalid(np.array([-1,np.nan,-2,-3, np.nan]))
b=np.ma.masked_invalid(np.array([-2,-3, -1,np.nan,np.nan]))
I'd like to choose the lesser element (component-wise) of a and b.
If the two elements
numpy.lookfor does what you're looking for, though I know of no such
greppable file. You might be able to generate it thusly (untested):
import numpy
for key in dir(numpy):
print key,
if getattr(numpy, key).__doc__:
print ':', getattr(numpy,
Hello all,
I ran into a problem with some of my older code (since figured out the
user error). However, in trying to give a simple example that
replicates the problem I was having, I ran into this.
In [19]: a = np.array((1.))
In [20]: a
Out[20]: array(1.0)
# the dtype is 'float64'
In [21]:
On Mon, Sep 7, 2009 at 3:27 PM, T Jtjhn...@gmail.com wrote:
On Mon, Sep 7, 2009 at 7:09 AM, Hans-Andreas Engeleng...@deshaw.com wrote:
If you wish to avoid the extra memory allocation implied by `x*y'
and get a ~4x speed-up, you can use a generalized ufunc
(numpy = 1.3, stolen from the
On Mon, Sep 7, 2009 at 3:43 PM, T Jtjhn...@gmail.com wrote:
Or perhaps I am just being dense.
Yes. I just tried to reinvent standard matrix multiplication.
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On Mon, Sep 7, 2009 at 7:09 AM, Hans-Andreas Engeleng...@deshaw.com wrote:
If you wish to avoid the extra memory allocation implied by `x*y'
and get a ~4x speed-up, you can use a generalized ufunc
(numpy = 1.3, stolen from the testcases):
z = numpy.core.umath_tests.inner1d(x, y)
This is
On Mon, Sep 7, 2009 at 6:36 PM, Skipper Seaboldjsseab...@gmail.com wrote:
Hello all,
I ran into a problem with some of my older code (since figured out the
user error). However, in trying to give a simple example that
replicates the problem I was having, I ran into this.
In [19]: a =
numpy.i is supposed to be C-compatible, so it does not generate any
throw or catch statements, and utilizes standard python error
handling. Using -fno-exceptions should be OK.
On Sep 7, 2009, at 12:16 PM, Rohit Garg wrote:
On Sun, Sep 6, 2009 at 8:35 PM, David
On Mon, Sep 7, 2009 at 7:35 PM, josef.p...@gmail.com wrote:
On Mon, Sep 7, 2009 at 6:36 PM, Skipper Seaboldjsseab...@gmail.com wrote:
Hello all,
I ran into a problem with some of my older code (since figured out the
user error). However, in trying to give a simple example that
replicates
On Mon, Sep 7, 2009 at 8:01 PM, Skipper Seaboldjsseab...@gmail.com wrote:
On Mon, Sep 7, 2009 at 7:35 PM, josef.p...@gmail.com wrote:
On Mon, Sep 7, 2009 at 6:36 PM, Skipper Seaboldjsseab...@gmail.com wrote:
Hello all,
I ran into a problem with some of my older code (since figured out the
Rohit Garg wrote:
Yeah, that's what I meant. If my code does not use exceptions, then is
it safe to use -fno-exceptions?
You would have to look at g++ documentation - but if it is safe for your
code, numpy should not make it unsafe. I am not sure what not using
exception means in C++,
On Mon, Sep 7, 2009 at 08:26, denis bzowydenis-bz...@t-online.de wrote:
Does anyone have a program to generate a file with one line per Numpy function
/ class / method, for local grepping ?
It might be useful for any package with thousands of functions too.
(Grepping a Pypi summary to see what
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