Stef Mientki wrote:
> Does anyone know the equivalent of the MatLab "diff" function.
> The "diff" functions calculates the difference between 2 succeeding
> elements of an array.
> I need to detect (fast) the falling edge of a binary signal.

Using numpy (or predecessors), you can do this easily with slicing:

a[1:] - a[:-1]

Slicing shares data, so the slices above don't create new arrays, but
new views into the old array, so it avoids that overhead.

For Python lists you'd have to use a list comprehension or some such
thing like that.  For example:

[ x-y for (x,y) in zip(a[1:],a[:-1]) ]

Or, to avoid creating two new arrays, use iterators:

import itertools
[ x-y for (x,y) in
itertools.izip(itertools.islice(a,0,-1),itertools.islice(a,1)) ]


Carl

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