On Thu, Mar 22, 2012 at 06:24:13PM -0600, Charles R Harris wrote:
>Since you are running on Ubuntu, it's probably a good idea to
>python setup.py install --user
>which will put everything in .local and avoid the mess with dist-packages
>and site-packages. Maybe you do that already
On Thu, Mar 22, 2012 at 11:24 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Thu, Mar 22, 2012 at 11:20:10AM -0600, Charles R Harris wrote:
> > This one was fixed a few days ago, so you aren't running the latest.
>
> Indeed, but if I run the latest, any operation on arrays segfaul
Hi all,
just to let you know that the videos from the PyData workshop we held
at Google a couple of weeks ago are now online (not all talks are up
yet, so watch the page over the next few days if a talk you wanted to
see isn't posted yet):
http://marakana.com/s/2012_pydata_workshop,1090/index.htm
On Thu, Mar 22, 2012 at 11:20:10AM -0600, Charles R Harris wrote:
> This one was fixed a few days ago, so you aren't running the latest.
Indeed, but if I run the latest, any operation on arrays segfaults on me,
so I am running 0.6.1. But you are saying that it's known and fixed.
Great!
> That mig
On Thu, Mar 22, 2012 at 11:07 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
>
> Hi list,
>
> I just got a new laptop, running Ubuntu 11.10 64bit on an Intel i7.
> I am a bit intriged by the test results of numpy on this box.
>
> First of all, master builds and imports OK, but the simp
Hi list,
I just got a new laptop, running Ubuntu 11.10 64bit on an Intel i7.
I am a bit intriged by the test results of numpy on this box.
First of all, master builds and imports OK, but the simplest test case
crashes with a segfault:
import numpy as np
a = np.ones(10, dtype=np.bool)
> On Mon, Mar 19, 2012 at 6:45 PM, Andreas H. wrote:
>
>> Hi all,
>>
>> I have troube installing numpy in a virtual environment on a SuSE
>> Enterprise 11 server (ppc64).
>>
>> Here is what I did:
>>
>>curl -O https://raw.github.com/pypa/virtualenv/master/virtualenv.py
>>python virtualenv.
Yes, this is finally how I work around it. I just want to save the
conversion from list to tuple.
On Thu, Mar 22, 2012 at 1:32 AM, Val Kalatsky wrote:
>
> Will this do what you need to accomplish?
>
> import datetime
> np.array([(datetime.datetime.strptime(i[0], "%Y-%m-%d").date(), i[1]) for
>
Thank you very much. Very detailed explanation.
On Thu, Mar 22, 2012 at 1:16 AM, Travis Oliphant wrote:
>
> On Mar 21, 2012, at 11:48 PM, Yan Tang wrote:
>
> Hi,
>
> I am really confused on the np array or record array, and cannot
> understand how it works.
>
> What I want to do is that I have a
