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The sort codebase (used by both
sorted()
and
list.sort()
works exclusively with
list
object, and is geared towards sorting python
objects
; items that can implement custom special methods that dictate ordering.
As such, that code is not readily reusable for the
array.array
and
bytearray
types, which deal exclusively in homogenous C type data.
Instead, you'd need to implement a dedicated sorting method for these types, taking advantage of the fact you are basically dealing with basic C types here. And no one has done this yet, which is really the
only
reason these types have no dedicated
.sort()
methods.
The work-around is to use
sorted()
and re-cast as the original type:
a = array.array(a.typecode, sorted(a))
b = bytearray(sorted(b))
The numpy ndarray type does have a .sort() method; perhaps you should use that library instead if you need to do a lot of sorting.
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