On Thu, Aug 18, 2011 at 9:45 PM, Christoph Gohlke wrote:
>
>
> On 8/18/2011 7:24 PM, Robert Love wrote:
> >
> > This works under 1.5.1 and 1.6.0 but gives me errors in 1.6.1
> >
> > import numpy as np
> >
> > def main():
> >
> > print"numpy version: "+ np.__version__
> >
> > zdt = np.dtype([('et'
On Thu, Aug 4, 2011 at 4:08 PM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> Hi,
>
> commits c15a807e and c135371e (thus most immediately addressed to Mark, but
> I am sending this to the list hoping for more insight on the issue)
> introduce a test failure with Python 2.5+2.6 on
On 2011-08-18, at 10:24 PM, Robert Love wrote:
> In 1.6.1 I get this error:
>
> ValueError: setting an array element with a sequence. Is this a known
> problem?
You'll have to post a traceback if we're to figure out what the problem is. A
few lines of zdum.txt would also be nice.
Suffice it
On 8/18/2011 7:24 PM, Robert Love wrote:
>
> This works under 1.5.1 and 1.6.0 but gives me errors in 1.6.1
>
> import numpy as np
>
> def main():
>
> print"numpy version: "+ np.__version__
>
> zdt = np.dtype([('et','i4'),('r','f8',3)])
>
> zdata = np.loadtxt('zdum.txt', zdt)
>
> In 1.6.1 I get th
This could be related to ticket #1936:
http://projects.scipy.org/numpy/ticket/1936
for which there's a pull request against master here:
https://github.com/numpy/numpy/pull/140
-Mark
On Thu, Aug 18, 2011 at 7:24 PM, Robert Love wrote:
>
> This works under 1.5.1 and 1.6.0 but gives me errors
This works under 1.5.1 and 1.6.0 but gives me errors in 1.6.1
import numpy as np
def main():
print"numpy version: "+ np.__version__
zdt = np.dtype([('et','i4'),('r','f8',3)])
zdata = np.loadtxt('zdum.txt', zdt)
In 1.6.1 I get this error:
ValueError: setting an array element with a
It's taken a lot of changes to get the NA mask support to its current point,
but the code ready for some testing now. You can read the work-in-progress
release notes here:
https://github.com/m-paradox/numpy/blob/missingdata/doc/release/2.0.0-notes.rst
To try it out, check out the missingdata bran
On 18/08/11 15:19, Chris Withers wrote:
> Hopefully a simple newbie question, if I have an array such as :
>
> array([0, 1, 2, 3, 4])
>
> ...what's the best way to cummulatively sum it so that I end up with:
>
> array([0, 1, 3, 6, 10])
>
> How would I do this both in-place and to create a new arr
On Thu, Aug 18, 2011 at 10:19 AM, Chris Withers wrote:
> Hi All,
>
> Hopefully a simple newbie question, if I have an array such as :
>
> array([0, 1, 2, 3, 4])
>
> ...what's the best way to cummulatively sum it so that I end up with:
>
> array([0, 1, 3, 6, 10])
>
> How would I do this both in-pla
Hi All,
Hopefully a simple newbie question, if I have an array such as :
array([0, 1, 2, 3, 4])
...what's the best way to cummulatively sum it so that I end up with:
array([0, 1, 3, 6, 10])
How would I do this both in-place and to create a new array?
cheers,
Chris
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