On Sun, Jul 13, 2008 at 6:26 PM, Alan McIntyre <[EMAIL PROTECTED]>
wrote:
> Does anybody know whether there's any reason to keep the following
> functions? They don't appear to be used anywhere.
>
> linalg/linalg.py:95 _castCopyAndTranspose
> lib/function_base.py:659 _asarray1d
> __
+1 to remov
On Mon, Jul 14, 2008 at 1:31 AM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> Any idea what this is:
>
> *** DocTestRunner.merge: '__main__' in both testers; summing outcomes.
Hmm..that's coming from nose. I'll see what it's about tomorrow.
___
Numpy-d
On Tue, Jul 8, 2008 at 6:21 PM, Sebastian Haase <[EMAIL PROTECTED]> wrote:
> Hi,
> I haven't checked out a recent numpy (( >>> N.__version__
> '1.0.3.1'))
> But could someone please check if the division has been changed from
> '/' to '//' in these places:
>
> C:\Priithon_25_win\numpy\core\numeric
Alan,
Any idea what this is:
*** DocTestRunner.merge: '__main__' in both testers; summing outcomes.
Chuck
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
Robert Kern wrote:
> On Sat, Jul 12, 2008 at 13:11, Charles R Harris
> <[EMAIL PROTECTED]> wrote:
>
>> Numpy uses a mix of snprintf and PyOS_snprintf. The Python version is there
>> because snprintf wasn't part of the standard until C99. So either we should
>> stick to the python version or make
The following numpy API functions have been deprecated and will be removed
in 1.3
PyArray_FromDims
PyArray_FromDimsAndDataAndDescr
PyArray_As1D
If there are other functions that should be added to the list, let me know.
Chuck
___
Numpy-discussion maili
Does anybody know whether there's any reason to keep the following
functions? They don't appear to be used anywhere.
linalg/linalg.py:95 _castCopyAndTranspose
lib/function_base.py:659 _asarray1d
___
Numpy-discussion mailing list
Numpy-discussion@scipy.o
Just askin'. Neither is mentioned in the numpy book.
Chuck
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
Hi Ralf
2008/7/13 Ralf Gommers <[EMAIL PROTECTED]>:
> Hi all,
>
> binary_repr() behaves differently for different types of ints/uints:
>
> In [210]: binary_repr(255)
> Out[210]: ''
>
> In [211]: binary_repr(uint32(255))
> Out[211]: ''
>
> In [212]: binary_repr(uint16(255))
> Out[21
Hi all,
binary_repr() behaves differently for different types of ints/uints:
In [210]: binary_repr(255)
Out[210]: ''
In [211]: binary_repr(uint32(255))
Out[211]: ''
In [212]: binary_repr(uint16(255))
Out[212]: '1'
In [213]: np.__version__
Out[213]: '1.0.4'
Is this intended/acc
On Sun, 13 Jul 2008, (UTC) Pauli Virtanen apparently wrote:
> The "... With Doc" is the automatically generated one. It appears that
> "trapz" does not have additional examples, only the "builtin" reference
> documentation, so it is not listed on the latter page.
So do I understand that if I'd
Sun, 13 Jul 2008 11:55:01 -0400, Alan G Isaac wrote:
> There are two examples pages:
> http://www.scipy.org/Numpy_Example_List_With_Doc
> http://www.scipy.org/Numpy_Example_List
>
> The latter says:
>
> This page contains a large database of examples demonstrating most
> of the Numpy fun
One other thing:
I believe ``trapz`` could get
a small efficiency gain by returning
(dx * (y[slice1]+y[slice2])).sum(axis=axis)/2.0
Cheers,
Alan Isaac
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listi
On Sun, Jul 13, 2008 at 2:32 AM, Fernando Perez <[EMAIL PROTECTED]> wrote:
> For numpy, we obviously must first remove all the ipython-specific
> code from there. The two plugins are separated, so it's perfectly
> doable, I just ran out of time. I'm putting it here in the hopes that
> it will be
you can use the 'converters' keyword in numpy.loadtxt.
first define a function to convert a string in a float, that can handle
your 'N/A' entries:
def converter(x):
if x == 'N/A':
return numpy.nan
else:
return float(x)
then use:
>>> numpy.loadtxt('test.dat', converters={1
There are two examples pages:
http://www.scipy.org/Numpy_Example_List_With_Doc
http://www.scipy.org/Numpy_Example_List
The latter says:
This page contains a large database of examples
demonstrating most of the Numpy functionality. Numpy
Example List With Doc has these examples inter
I am using loadtxt and I have missing values that are show up as N/A.
I get a,
ValueError: invalid literal for float(): N/A
Is there a way to ignore these?
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/l
On Sun, Jul 13, 2008 at 1:51 AM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> Here is the schedule for 1.2.0:
> - 8/05/08 tag the 1.1.1rc1 release and prepare packages
> - 8/12/08 tag the 1.1.1rc2 release and prepare packages
> - 8/23/08 tag the 1.1.1 release and prepare packages
> -
The NumPy 1.2.0 release date (8/24/08) is rapidly approaching and we
need everyone's help. David Cournapeau has volunteered to take the
lead on coordinating this release.
The main focus of this release is on improved documentation and a new
testing framework based on nose with only a few new feat
On Sun, Jul 13, 2008 at 02:17, Charles R Harris
<[EMAIL PROTECTED]> wrote:
>
> On Sun, Jul 13, 2008 at 12:53 AM, Robert Kern <[EMAIL PROTECTED]> wrote:
>>
>> On Sun, Jul 13, 2008 at 01:49, Charles R Harris
>> <[EMAIL PROTECTED]> wrote:
>> >
>> > On Sun, Jul 13, 2008 at 12:02 AM, Robert Kern <[EMAIL
On Sun, Jul 13, 2008 at 12:53 AM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Sun, Jul 13, 2008 at 01:49, Charles R Harris
> <[EMAIL PROTECTED]> wrote:
> >
> > On Sun, Jul 13, 2008 at 12:02 AM, Robert Kern <[EMAIL PROTECTED]>
> wrote:
>
> >> Compile-time warnings will be ignored if they aren't err
21 matches
Mail list logo
