[Numpy-discussion] New numpy functions: filled, filled_like

[Pierre Haessig]

Hi,
Le 14/01/2013 20:17, Alan G Isaac a écrit :
>  >>> a = np.tile(5,(1,2,3))
>  >>> a
> array([[[5, 5, 5],
>          [5, 5, 5]]])
>  >>> np.tile(1,a.shape)
> array([[[1, 1, 1],
>          [1, 1, 1]]])
>
> I had not realized a scalar first argument was possible.
I didn't know either ! I discovered this use in the thread of this
discussion. Just like Ben, I've almost never used "np.tile" neither its
cousin "np.repeat"...

Now, in the process of rediscovering those two functions, I was just
wondering whether it would make sense to repackage them in order to
allow the simple functionality of initializing a non-empty array.

In term of choosing the name (or actually the verb), I prefer "repeat"
because it's a more familiar concept than "tile". However, repeat may
need more changes to make it work than tile. Indeed we currently have :

>>> tile(nan, (3,3))  # works fine, but is pretty slow for that purpose,
And doesn't accept a dtype arg
array([[ nan,  nan,  nan],
       [ nan,  nan,  nan],
       [ nan,  nan,  nan]])


Doesn't work for that purpose:
>>>repeat(nan, (3,3))
[...]
ValueError: a.shape[axis] != len(repeats)


So what people think of this "green" approach of recycling existing API
into a slightly different function (without breaking current behavior of
course)

Best,
Pierre

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