[英]Efficient way to index a Numpy array with another array
Given a Numpy array x
, and an array of integers y
, I want to do something equivalent to: 给定一个Numpy数组x
和一个整数数组y
,我想做一些相当于:
z = np.array(x[i] for i in y)
Is there a Numpy function/method to do this efficiently without converting back to a list? 是否有Numpy函数/方法有效地执行此操作而不转换回列表?
If y
contains indices that are valid for x
, then: 如果y
包含对x
有效的索引,则:
z = x[y]
>>> import numpy as np
>>> x = np.arange(100)
>>> y = np.array([1, 27, 36, 98])
>>> x[y]
array([ 1, 27, 36, 98])
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