On Wed, Jun 5, 2013 at 12:00 PM, Charles R Harris wrote:
>
>
> On Wed, Jun 5, 2013 at 11:59 AM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Wed, Jun 5, 2013 at 11:48 AM, Nathaniel Smith wrote:
>>
>>> On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
>>> wrote:
>>> > On 05.0
On Wed, Jun 5, 2013 at 11:59 AM, Charles R Harris wrote:
>
>
> On Wed, Jun 5, 2013 at 11:48 AM, Nathaniel Smith wrote:
>
>> On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
>> wrote:
>> > On 05.06.2013 16:33, Nathaniel Smith wrote:
>> >> The slow down people are worried about is, suppose that 'xp'
On Wed, Jun 5, 2013 at 11:48 AM, Nathaniel Smith wrote:
> On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
> wrote:
> > On 05.06.2013 16:33, Nathaniel Smith wrote:
> >> The slow down people are worried about is, suppose that 'xp' has
> >> 1,000,000 entries, and the user wants to interpolate 1 point
On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
wrote:
> On 05.06.2013 16:33, Nathaniel Smith wrote:
>> The slow down people are worried about is, suppose that 'xp' has
>> 1,000,000 entries, and the user wants to interpolate 1 point. If we
>> can assume the array is sorted, then we can find which bi
On Wed, Jun 5, 2013 at 5:21 PM, Charles R Harris
wrote:
> Hi Anne,
>
> Long time no see ;)
>
> On Wed, Jun 5, 2013 at 10:07 AM, Anne Archibald wrote:
>>
>> Hi folks,
>>
>> I recently came across an application I needed quad precision for
>> (high-accuracy solution of a differential equation). I f
On 05.06.2013 16:33, Nathaniel Smith wrote:
> On Wed, Jun 5, 2013 at 3:16 PM, Slavin, Jonathan
> wrote:
>> The simplest monotonicity test that I've seen is:
>>
>> dx = np.diff(x)
>> monotonic = np.all(dx < 0.) or np.all(dx > 0.)
>>
>> I expect that this is pretty fast, though I haven't tested it y
Hi all,
>From the list archives (2011), I noticed that there is a bug in the
python gzip module that causes genfromtxt to fail with python 2 but this
bug is not a problem for python 3. When I tried to use genfromtxt and
python 3 with a gzip'ed csv file, I instead got:
IOError: Mode rbU not suppo
Hi Anne,
Long time no see ;)
On Wed, Jun 5, 2013 at 10:07 AM, Anne Archibald wrote:
> Hi folks,
>
> I recently came across an application I needed quad precision for
> (high-accuracy solution of a differential equation). I found a C++ library
> (odeint) that worked for the integration itself, b
Hi folks,
I recently came across an application I needed quad precision for
(high-accuracy solution of a differential equation). I found a C++ library
(odeint) that worked for the integration itself, but unfortunately it
appears numpy is not able to work with quad precision arrays. For my
applicat
On Wed, Jun 5, 2013 at 3:16 PM, Slavin, Jonathan
wrote:
> The simplest monotonicity test that I've seen is:
>
> dx = np.diff(x)
> monotonic = np.all(dx < 0.) or np.all(dx > 0.)
>
> I expect that this is pretty fast, though I haven't tested it yet. If we
> want to make checking optional, then I th
The simplest monotonicity test that I've seen is:
dx = np.diff(x)
monotonic = np.all(dx < 0.) or np.all(dx > 0.)
I expect that this is pretty fast, though I haven't tested it yet. If we
want to make checking optional, then I think the default should be to check
with the option to skip the check.
On 5 Jun 2013 03:21, "Eric Firing" wrote:
>
> On 2013/06/04 4:15 PM, Benjamin Root wrote:
> > Could non-monotonicity be detected as part of the interp process?
> > Perhaps a sign switch in the deltas?
>
> There are two code paths, depending on the number of points to be
> interpolated. When it is
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