[SciPy-dev] physical quantities: udunits?
Charles Doutriaux
doutriaux1@llnl....
Fri Aug 1 09:28:29 CDT 2008
Hi Darren,
Here are some examples:
>>> a = unidata.udunits(1,'m')
>>> a.to('cm')
udunits(100.0,"cm")
You can also use:
a.known_units()
or
a.available_units()
Come to think of it I should change it so it only shows units compatible
with "a"
Anyway, sorry I pointed to the "trunk" version, I forgot it is still
Numeric based. Or devel version is numpy based.
you can access it at:
svn export
http://www-pcmdi.llnl.gov/svn/repository/cdat/branches/devel/Packages/unidata
user: guest
psswd: cdatdevel
It is indeed based on udunits (not udunits2). I should upgrade.
You're right we could probably subclass numpy. Do you want to do it?
Honestly I don't think i'll have time in the next month or so.
C.
Darren Dale wrote:
> Hi Charles,
>
> On Thursday 31 July 2008 06:56:33 pm you wrote:
>
>> Ok looks like our security update was a bit too strong :) can you try
>> again ?
>>
>
> Thanks, I am able to grab the sources now.
>
> I did a search on the web a few days ago to see if udunits can be used on
> Windows. The answer appeared to be no, but I tried installing your unidata
> python package on windows anyway.
>
> There is no windows binary for Numeric and python-2.5, so I tried a first
> order workaround by changing the Numeric include in udunits_wrap.c to:
>
> #include "numpy/arrayobject.h"
>
> This required importing numpy in your setup script and adding
> numpy.get_include() to the list of include_dirs in your extension
> constructor. I also had to modify the path where udunits is installed, in
> both setup.py and udunits.py. (moving udunits.dat into Lib would allow the
> library to be installed using distutils package_data, I think.)
>
> I am happy to say that I was able to build the package with mingw, install it,
> and run the test script. I didn't see any problems (but I didn't really know
> what to look for).
>
> Would you mind posting a link to your udunits2 package?
>
> Based on your nice work here, and the appearance of windows compatibility, it
> seems like it shouldn't be too difficult to build a physical_quantities
> object subclassed from numpy.ndarray. Have you considered this possibility?
>
> Regards,
> Darren
>
>
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