[SciPy-dev] stats confusion
Wed Jun 17 09:20:12 CDT 2009
On Wed, Jun 17, 2009 at 9:43 AM, Pauli Virtanen<email@example.com> wrote:
> Wed, 17 Jun 2009 09:37:10 -0400, josef.pktd kirjoitti:
>> Positional arguments cannot be called as keyword arguments, that is
>> standard python.
>> (on the other hand keyword arguments can be called also as positional
> Positional arguments can usually be called as keyword arguments in
> standard Python.
> def foo(a):
> print a
>> the signature and help has standard notation:
>> eg. signature: np.maximum(x1, x2[, out])
>>>>> np.maximum(x1=, x2=)
>> Traceback (most recent call last):
>> TypeError: 'x2' is an invalid keyword to maximum
> The only exception are functions provided by C extension modules, and
> functions that use *args.
Thanks, I didn't know this is possible.
I found the explanation in the Python Reference Manual. But I don't
thinks I have ever seen it used. And it looks a bit fragile to me if
you want to refactor the argument list later by adding *args), and I
get easily TypeErrors when mixing positional and keyword arguments if
they are in the wrong sequence.
So, I don't see any gain using positional arguments as keywords.
The problem in this example is that the the generic function cdf uses
*args, **kwds, and checks the arguments and does the broadcasting
before dispatching to the private method _cdf.
Calling the private method actually works with keywords
>>> scipy.stats.chi2._cdf(1, df=2)
>>> scipy.stats.chi2._cdf(x=1, df=2)
I forgot to mention earlier: The generated docs are a merge between
generic and distribution specific docstrings. I never checked whether
this merge is completely correct in all cases.
> Pauli Virtanen
More information about the Scipy-dev