On 01/14/2012 04:31 PM, Charles R Harris wrote:
I've put up a pull request for a fix to ticket #1973. Currently the
fix simply propagates the maskna flag when the *.astype method is
called. A more complicated option would be to add a maskna keyword to
specify whether the output is masked or not
On Mon, Jan 16, 2012 at 8:37 AM, Bruce Southey wrote:
> **
> On 01/14/2012 04:31 PM, Charles R Harris wrote:
>
> I've put up a pull request for a fix to ticket #1973. Currently the fix
> simply propagates the maskna flag when the *.astype method is called. A
> more complicated option would be to
On Mon, Jan 16, 2012 at 8:52 AM, Charles R Harris wrote:
>
>
> On Mon, Jan 16, 2012 at 8:37 AM, Bruce Southey wrote:
>
>> **
>> On 01/14/2012 04:31 PM, Charles R Harris wrote:
>>
>> I've put up a pull request for a fix to ticket #1973. Currently the fix
>> simply propagates the maskna flag when
On Mon, Jan 16, 2012 at 8:37 AM, Bruce Southey wrote:
> **
> On 01/14/2012 04:31 PM, Charles R Harris wrote:
>
> I've put up a pull request for a fix to ticket #1973. Currently the fix
> simply propagates the maskna flag when the *.astype method is called. A
> more complicated option would be to
hi all,
I've done support of discrete variables for interalg - free (license:
BSD) solver with specifiable accuracy, you can take a look at an example
here
It is written in Python + NumPy, and I hope it's speed will be
essentially increased when PyPy (Python with dynamic compilation) support
fo
On Sun, Jan 15, 2012 at 6:54 AM, David Cournapeau wrote:
> On Sat, Jan 14, 2012 at 11:53 PM, Nathan Faggian
> wrote:
> > Hi,
> >
> > I am finding it less than useful to have the negative index wrapping on
> nd-arrays. Here is a short example:
> >
> > import numpy as np
> > a = np.zeros((3, 3))
>
On Sat, Jan 14, 2012 at 4:53 PM, Nathan Faggian wrote:
> Hi,
>
> I am finding it less than useful to have the negative index wrapping on
> nd-arrays. Here is a short example:
>
> import numpy as np
> a = np.zeros((3, 3))
> a[:,2] = 1000
> print a[0,-1]
> print a[0,-1]
> print a[-1,-1]
>
> In all c
On Mon, Jan 16, 2012 at 3:24 PM, Charles R Harris wrote:
>
>
> On Sat, Jan 14, 2012 at 4:53 PM, Nathan Faggian
> wrote:
>
>> Hi,
>>
>> I am finding it less than useful to have the negative index wrapping on
>> nd-arrays. Here is a short example:
>>
>> import numpy as np
>> a = np.zeros((3, 3))
>
On Mon, Jan 16, 2012 at 3:30 PM, Benjamin Root wrote:
>
>
> On Mon, Jan 16, 2012 at 3:24 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Sat, Jan 14, 2012 at 4:53 PM, Nathan Faggian > > wrote:
>>
>>> Hi,
>>>
>>> I am finding it less than useful to have the negative index
Hi,
I am sorry for the late reply.
Benjamin has hit the nail on the head. I guess I am seeing numpy
"fancy indexing" as equivalent to integer based coordinate sampling
and trying to compare numpy's fancy indexing to something like
map_coordinates in scipy.
I have never used np.ravel_multi_index(
Hi Robert,
On Fri, 30 Dec 2011 20:05:14 +, Robert Kern wrote:
> On Fri, Dec 30, 2011 at 18:57, Andreas Kloeckner
> wrote:
> > Hi Robert,
> >
> > On Tue, 27 Dec 2011 10:17:41 +, Robert Kern
> > wrote:
> >> On Tue, Dec 27, 2011 at 01:22, Andreas Kloeckner
> >> wrote:
> >> > Hi all,
> >>
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