On 5 Jun 2013 03:21, Eric Firing efir...@hawaii.edu 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.
.
Jon
On Tue, Jun 4, 2013 at 9:03 PM, numpy-discussion-requ...@scipy.org wrote:
From: Eric Firing efir...@hawaii.edu
To: numpy-discussion@scipy.org
Cc:
Date: Tue, 04 Jun 2013 15:08:29 -1000
Subject: Re: [Numpy-discussion] suggested change of behavior for interp
On 2013/06/04 2:05 PM, Charles
On Wed, Jun 5, 2013 at 3:16 PM, Slavin, Jonathan
jsla...@cfa.harvard.edu 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
On 05.06.2013 16:33, Nathaniel Smith wrote:
On Wed, Jun 5, 2013 at 3:16 PM, Slavin, Jonathan
jsla...@cfa.harvard.edu 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
On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
jtaylor.deb...@googlemail.com 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,
On Wed, Jun 5, 2013 at 11:48 AM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
jtaylor.deb...@googlemail.com 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
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 n...@pobox.com wrote:
On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 05.06.2013 16:33, Nathaniel Smith wrote:
The
On Wed, Jun 5, 2013 at 12:00 PM, Charles R Harris charlesr.har...@gmail.com
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 n...@pobox.com wrote:
On Wed, Jun 5, 2013 at 6:08 PM, Julian Taylor
Hi,
I would like to suggest that the behavior of numpy.interp be changed
regarding treatment of situations in which the x-coordinates are not
monotonically increasing. Specifically, it seems to me that interp should
work correctly when the x-coordinate is decreasing monotonically. Clearly
it
On Tue, Jun 4, 2013 at 12:07 PM, Slavin, Jonathan
jsla...@cfa.harvard.eduwrote:
Hi,
I would like to suggest that the behavior of numpy.interp be changed
regarding treatment of situations in which the x-coordinates are not
monotonically increasing. Specifically, it seems to me that interp
On 2013/06/04 2:05 PM, Charles R Harris wrote:
On Tue, Jun 4, 2013 at 12:07 PM, Slavin, Jonathan
jsla...@cfa.harvard.edu mailto:jsla...@cfa.harvard.edu wrote:
Hi,
I would like to suggest that the behavior of numpy.interp be changed
regarding treatment of situations in which
Could non-monotonicity be detected as part of the interp process? Perhaps a
sign switch in the deltas?
I have been bitten by this problem too.
Cheers!
Ben Root
On Jun 4, 2013 9:08 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/04 2:05 PM, Charles R Harris wrote:
On Tue, Jun 4,
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 greater than the size of the table, the deltas
are
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