Python 如何将标量添加到特定范围内的 numpy 数组？
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How to add a scalar to a numpy array within a specific range?
提问by ébe Isaac
Is there a simpler and more memory efficient way to do the following in numpy alone.
是否有一种更简单且内存效率更高的方法来单独在 numpy 中执行以下操作。
import numpy as np
ar = np.array(a[l:r])
ar += c
a = a[0:l] + ar.tolist() + a[r:]
It may look primitive but it involves obtaining a subarray copy of the given array, then prepare two more copies of the same to append in left and right direction in addition to the scalar add. I was hoping to find some more optimized way of doing this. I would like a solution that is completely in Python list or NumPy array, but not both as converting from one form to another as shown above would cause serious overhead when the data is huge.
它可能看起来很原始，但它涉及获取给定数组的子数组副本，然后准备两个相同的副本，除了标量加法之外，还要在左右方向上追加。我希望找到一些更优化的方法来做到这一点。我想要一个完全在 Python 列表或 NumPy 数组中的解决方案，但不能同时从一种形式转换为另一种形式，如上所示，当数据很大时会导致严重的开销。
采纳答案by Alexander
You can just do the assignment inplace as follows:
您可以按如下方式进行就地分配：
import numpy as np
a = np.array([1, 1, 1, 1, 1])
a[2:4] += 5
>>> a
array([1, 1, 6, 6, 1])
