[SciPy-User] splmake gone from documentation
Tue Mar 2 17:16:43 CST 2010
On Tue, Mar 2, 2010 at 3:04 PM, David Goldsmith <email@example.com>wrote:
> On Tue, Mar 2, 2010 at 2:01 PM, Jason Grout <firstname.lastname@example.org>wrote:
>> On 03/02/2010 01:45 PM, Jason Grout wrote:
>> > I'm teaching a numerical analysis class and we are talking about
>> > different kinds of splines. I notice in some old scipy documentation
>> > that splmake is a nice function for making different kinds of splines
>> > (i.e., clamped, free, not_a_knot, etc.). However, I can't find splmake
>> > in the reference documentation at http://docs.scipy.org/doc/ in either
>> > the 0.7 or 0.8dev docs. I see splmake in my 0.7.0 installation, though
>> > (in the interpolate/interpolate.py file).
>> > Is the function splmake deprecated? I also notice that it is called (in
>> > the code) in the interp1d class init function, but it's impossible to
>> > specify the type (e.g., a clamped spline). Is there a reason why the
>> > kind argument is not passed to splmake?
>> Digging a bit more, it seems that the splmake function is somewhat
>> inoperable; that would explain why it's not in the docs. Apparently it
>> looks for a '_find_%s'%kind function (e.g., _find_clamped function),
>> which should specify the right conditions for a clamped spline.
>> However, this and similar functions look like:
>> def _find_clamped(xk, yk, order, conds, B):
>> raise NotImplementedError
>> return _find_user(xk, yk, order, conds, B)
>> So a user just gets a NotImplementedError whenever trying to create
>> pretty much any kind of spline using the kind argument of splmake.
>> On the other hand, there is a function _get_spline3_Bb that appears to
>> have some of the conditions specified (i.e., there is a switch
>> statement, and there are some conditions for 'clamped', for example, but
>> I haven't checked if these conditions are correct). However,
>> _get_spline3_Bb is not called from anything. I don't know what to make
>> of that!
>> Thanks for your help and time,
> This is pretty embarrassing: it should either be implemented or cleared
> out, IMO. I searched the scipy tickets for interpolate NotImplementedError
> and got no hits (plenty of hits for interpolate and NotImplementedError,
> though) so I'm turning this into a ticket; if I'm wrong about it being a
> "bug," someone will just mark it "Will not fix" (and presumably explain
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