Nice binaries for gfortran can be found here:
hpc.sourceforge.net/
On 10/31/06, Erin Sheldon [EMAIL PROTECTED] wrote:
Hi Alan -
I have not had luck with the binary distros. There is always
something that doesn't work, so I will be interested in
the results of your efforts.
The biggest
HI,
I have noticed that Pearu has been doing lots of work on f2py g3. I
have heard that this will have support for derived types. What is the
status of this work? Is is ready for public use? Are the derived
types implemented? Thanks!
Brian
Pearu,
Fantastic, I will try this out. Thanks for your work on this.
Brian
On 10/25/06, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
On Wed, 25 Oct 2006, Brian Granger wrote:
HI,
I have noticed that Pearu has been doing lots of work on f2py g3. I
have heard that this will have
So, I have figured out the problem and have a solution. I have
submitted a ticket for this:
http://projects.scipy.org/scipy/numpy/ticket/362
That describes the problem and solution.
Thanks for everyones ideas on this.
Brian
On 10/21/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Brian Granger
Hi,
i am running numpy on aix compiling with xlc. Revision 1.0rc2 works
fine and passes all tests. But 1.0rc3 and more recent give the
following on import:
Warning: invalid value encountered in multiply
Warning: invalid value encountered in multiply
Warning: invalid value encountered in
/06, Tim Hochberg [EMAIL PROTECTED] wrote:
Brian Granger wrote:
Hi,
i am running numpy on aix compiling with xlc. Revision 1.0rc2 works
fine and passes all tests. But 1.0rc3 and more recent give the
following on import:
Warning: invalid value encountered in multiply
Warning
/machar.py:267:
RuntimeWarning: invalid value encountered in power
resolution = ten ** (-self.precision)
On 10/20/06, Tim Hochberg [EMAIL PROTECTED] wrote:
Brian Granger wrote:
Hi,
i am running numpy on aix compiling with xlc. Revision 1.0rc2 works
fine and passes all tests. But 1.0rc3
I have been doing these recent tests with 1.0rc3. I am building from
trunk right now and we will see how that goes. Thanks for your help.
Brian
On 10/20/06, Tim Hochberg [EMAIL PROTECTED] wrote:
Brian Granger wrote:
Also, when I use seterr(all='ignore') the the tests fail
/06, Tim Hochberg [EMAIL PROTECTED] wrote:
Brian Granger wrote:
When I set seterr(all='warn') I see the following:
In [1]: import numpy
/usr/common/homes/g/granger/usr/local/lib/python/numpy/lib/ufunclike.py:46:
RuntimeWarning: invalid value encountered in log
_log2 = umath.log(2
I want to be able to print an array in scientific notation.
I have seen the set_printoptions() functions, but it doesn't really
have an option for *always* using scientific notation.
Can this be done? How?
Thanks
Brian
-
You can write a function that formats arrays how you like them and then tell
ndarray to use it for __str__ or __repr__ using numpy.set_string_function().
That seems to be a little low level for most users. Would it be hard
to have the possibility of specifying a format string?
Brian
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