[Numpy-discussion] The idiom for supporting matrices and arrays in a function

[Colin J. Williams]

Travis Oliphant wrote:

> Bill Baxter wrote:
>
>> The NumPy for Matlab Users's wiki is currently pleading to have 
>> someone fill in  "/*the idiom for supporting both matrices and arrays 
>> in a function". */Does anyone know what this is?
>
>
> I'm not sure what they want, exactly.
>
> Since a matrix is a subclass of an array you can treat them the same 
> for the most part.  The * and ** operators are the two that act 
> differently on arrays and matrices so if you want to be sure then you 
> use the functions dot and umath.multiply instead of the infix notation.
>
> If you want to convert arbitrary objects to "some-kind of array" then
>
> asanyarray(...)

How does asanyyarray() differ from asarray()?

Colin W.

>
> allows sub-classes of the array to pass to your function.  To be 
> perfectly careful, however, you will need to use explicity functions 
> to perform any operation you may need.
>
> The other approach is to store the __array_wrap__ method of the input 
> object (if there is any), convert everything to arrays using asarray() 
> and then wrap the final result --- this is what ufuncs do internally.
>
> Again, I'm not sure what they mean?
>
> -Travis
>
>
>
>
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