Hi, Is there an array-like function equivalent with the builtin method for the Python single-valued comparison cmp(x,y)?
What I would like is a cmp(a, lim), where a is an ndarray and lim is a single value, and then I need an array back of a's shape giving the elementwise comparison array([cmp(a[0], lim), cmp(a[1], lim), ...]) I can do it somewhat ackwardly doing this: In [1]: a = randint(5, size=10); print a [0 2 4 1 3 0 3 4 0 1] In [2]: lim = 2 In [3]: acmp = empty(a.shape, dtype='i1') In [4]: acmp[a < lim] = -1 In [5]: acmp[a == lim] = 0 In [6]: acmp[a > lim] = 1 In [7]: acmp Out[7]: array([-1, 0, 1, -1, 1, -1, 1, 1, -1, -1], dtype=int8) But that is not very elegant and since this is a computational bottleneck I would rather like to avoid all the intermediate creations of three mask arrays for fancy indexing in this example. Is there a simpler/more elegant way to acheive the same result? Thanks in advance, Kim
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