I have two lists:
- with the elements:
[0.7181,7.3,561257621.7,0.12122,9.8] - with indices:
[0,2]
How can I calculate average of elements which indices I do have in second table?
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MaxU - stand with Ukraine
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donchuan
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3Any attempt from your side? – Willem Van Onsem Jan 11 '18 at 21:48
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please read about [indexing in Numpy](https://docs.scipy.org/doc/numpy-1.13.0/reference/arrays.indexing.html) – MaxU - stand with Ukraine Jan 11 '18 at 21:48
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So I can create the additional table and append it with the items with the maching indices. But I am looking for faster way. – donchuan Jan 11 '18 at 21:49
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`numpy.mean(numpy.array(elements)[indices])` – Cory Kramer Jan 11 '18 at 21:50
1 Answers
2
I would use:
>>> elements = [0.7181, 7.3, 561257621.7, 0.12122, 9.8]
>>> indices = [0, 2]
>>> sum([elements[i] for i in indices])/len(indices)
280628811.20905
Simpom
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