nxutils has been removed from master because it is completely redundant
to the Path functionality that has been in matplotlib since 0.98. In
the process of porting to Python 3, I felt it was important to reduce
code duplication, because every additional line requires additional testing.
That said, there seems to be a lot of push back on this. We can
reinstate it, but I would suggest raising DeprecationWarnings for one
release and then removing it entirely in the next.
Mike
On 11/18/2011 12:21 AM, Benjamin Root wrote:
Huh? Nxutils removed? Then how am I still using points_inside_poly?
And, if I remember right, Path uses that to calculate contains().
Ben Root
On Thursday, November 17, 2011, Eric Firing <efir...@hawaii.edu
<mailto:efir...@hawaii.edu>> wrote:
> On 11/17/2011 10:19 AM, Michael Droettboom wrote:
>> Most of what was in nxutils has been superseded by things in Numpy, and
>> it makes more sense for it to be over there.
>>
>> In the case of points_inside_poly, you can use the Path object in
>> path.py and the "contains_point" method.
>>
>> Mike
>
> Mike,
>
> This, however, brings us back to the plea by Volker Blum:
>
>
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg22669.html
>
> There is a real tension between the need to clean things up and simplify
> them, and users' desire for minimal loss of backwards compatibility.
> Personally, my instincts are in the "clean it up" camp, but a good
> balance has to be found.
>
> nxutils was definitely a vestige of an earlier era; but I don't think it
> went through any official, publicized, deprecation process, did it?
> Maybe it didn't need to; I don't know. Perhaps we need to formulate and
> write down a deprecation policy.
>
> Eric
>
>>
>> On 11/17/2011 12:03 PM, James Evans wrote:
>>>
>>> All,
>>>
>>> I have not touched the code for several months, so it has taken me up
>>> until just now to realize that nxutils has been removed from the
build.
>>>
>>> I there any real reason for this? Particularly when you consider that
>>> there are still functions present that use it and now they just fail.
>>>
>>> In particular I am referring to 'mlab.inside_poly'. In my case I was
>>> using 'nxutils.points_inside_poly' directly, but the end result is the
>>> same.
>>>
>>> Thanks,
>>>
>>> --James Evans
>>>
>>>
>>>
>>>
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>>
>>
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