In Matlab I can generate such an array
a = [1, 3, 9:100, 201, 202];
which 9:100 will give me 9,10,...,100, so I don't have to type in one by one. Is there an equivalent way of doing so in numpy?
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@bmu, you're right, that's exactly the same question I have. I searched but I didn't find that question. How can I delete my post?LWZ– LWZ2013-02-11 07:04:51 +00:00Commented Feb 11, 2013 at 7:04
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1 Answer
Yes.
In [3]: numpy.r_[1,3,9:100,201,202]
Out[3]: array([ 1, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45,
46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
98, 99, 201, 202])
Note that slices are right-exclusive in numpy, so 9:100 includes 9, but not 100. Use 9:101 if you want 100 included.
2 Comments
LWZ
You are awesome.
r_ seems to be a bit strange choice of name for the function though.
Mr Fooz
I agree that
r_ is an odd name for a singleton object. Someone had to point it out to me too. Here are the docs in case you want to learn more: docs.scipy.org/doc/numpy/reference/generated/numpy.r_.html