Folks,

My search engine was not able to help me on this one, possibly because I
don't know exactly *what* I am looking for.

I need to override __getitem__ for a class that wrapps a numpy array. I
know the dimensions of my array (which can be variable from instance to
instance), and I know what I want to do: for one preselected dimension,
I need to select another slice than requested by the user, do something
with the data, and return the variable.

I am looking for a function that helps me to "clean" the input of
__getitem__. There are so many possible cases, when the user uses [:] or
[..., 1:2] or [0, ..., :] and so forth. But all these cases have an
equivalent index array of len(ndimensions) with only valid slice()
objects in it. This array would be much easier for me to work with.

in pseudo code:

def __getitem__(self, item):
# clean input
item = np.clean_item(item, ndimensions=4)
# Ok now item is guaranteed to be of len 4
item[2] = slice()
# Continue
etc.

Is there such a function in numpy?

I hope I have been clear enough... Thanks a lot!

Fabien

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