Your example doesn't run, but here is one that does:
In [8]: x = np.array([50], dtype=float)
In [9]: np.piecewise(x, [0 < x <= 90, 90 < x <= 180], [1.1, 2.1])
array([ 1.1])
The answer to your second question is that it is returning an array
with the same dtype as its first argument.
The answer to your first question is "yes", and evidently if more than
one condition matches, it is the last that prevails:
In [10]: np.piecewise(x, [0 < x <= 90, 90 < x <= 180, 30<x<80], [1.1,
2.1, 3.3])
array([ 3.3])
Thank you very much for the good answer!
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