[Numpy-discussion] Thoughts about zero dimensional arrays vs Python scalars
Colin J. Williams
cjw at sympatico.ca
Sun Mar 20 08:42:16 EST 2005
Ralf Juengling wrote:
>Travis,
>
>Discussing zero dimensional arrays, the PEP says at one point:
>
> ... When ndarray is imported, it will alter the numeric table
> for python int, float, and complex to behave the same as
> array objects.
>
> Thus, in the proposed solution, 0-dim arrays would never be
> returned from calculation, but instead, the equivalent Python
> Array Scalar Type. Internally, these ArrayScalars can
> be quickly converted to 0-dim arrays when needed. Each scalar
> would also have a method to convert to a "standard" Python Type
> upon request (though this shouldn't be needed often).
>
>
>I'm not sure I understand this. Does it mean that, after having
>imported ndarray, "type(1)" to "ndarray.IntArrType" rather than
>"int"?
>
>If so, I think this is a dangerous idea. There is one important
>difference between zero dimensional arrays and Python scalar
>types, which is not discussed in the PEP: arrays are mutable,
>Python scalars are immutable.
>
>When Guido introduced in-place operators in Python, (+=, *=,
>etc.) he decided that "i += 1" should be allowed for Python
>scalars and should mean "i = i + 1". Here you have it, it
>means something different when i is a mutable zero dimensional
>array. So, I suspect a tacit re-definition of Python scalars
>on ndarray import will break some code out there (code, that
>does not deal with arrays at all).
>
>Facing this important difference between arrays and Python
>scalars, I'm also not sure anymore that advertising zero
>dimensional arrays as essentially the same as Python scalars
>is such a good idea. Perhaps it would be better not to try to
>inherit from Python's number types and all that. Perhaps it
>would be easier to just say that indexing an array always
>results in an array and that zero dimensional arrays can be
>converted into Python scalars. Period.
>
>Ralf
>
>
>PS: You wrote two questions about zero dimensional arrays
>vs Python scalars into the PEP. What are your plans for
>deciding these?
>
>
>
>
It looks as though a decision has been made. I was among those who
favoured abandoning rank-0 arrays, we lost.
To my mind rank-0 arrays add complexity for little benefit and make
explanation more difficult.
I don't spot any discussion in the PEP of the pros and cons of the nd ==
0 case.
Colin W.
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