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Python 中的 numpy.place()

哎哎哎:# t0]https://www . geeksforgeeks . org/num py-place-python/

numpy.place() 方法根据参数–条件和值对数组进行更改(根据用户设置的掩码，使用前 N 个值放入数组)。它的工作原理与 numpy.extract() 相反。 语法:

numpy.place(array, mask, vals)

参数:

array : [ndarray] Input array, we need to make changes into
mask  : [array_like]Boolean that must have same size as that of the input array
value : Values to put into the array. Based on the mask condition it adds only N-elements
    to the array. If in case values in val are smaller than the mask, same values get repeated.

返回:

Array with change elements i.e. new elements being put


# Python Program illustrating
# numpy.place() method

import numpy as geek

array = geek.arange(12).reshape(3, 4)
print("Original array : \n", array)

# Putting new elements
a = geek.place(array, array > 5, [15, 25, 35])
print("\nPutting up elements to array: \n", array)

array1 = geek.arange(6).reshape(2, 3)
print("\n\nOriginal array1 : \n", array)

# Putting new elements
a = geek.place(array1, array1>2, [44, 55])
print("\nPutting new elements to array1 : \n", array1)

输出:

Original array : 
 [[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]]

Putting up elements to array: 
 [[ 0  1  2  3]
 [ 4  5 15 25]
 [35 15 25 35]]

Original array1 : 
 [[ 0  1  2  3]
 [ 4  5 15 25]
 [35 15 25 35]]

Putting new elements to array1 : 
 [[ 0  1  2]
 [44 55 44]]

参考文献: https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . place . html # numpy . place

注意: 这些代码不会在在线-ID 上运行。请在您的系统上运行它们来探索工作。 。 本文由 Mohit Gupta_OMG 供稿😀 。如果你喜欢 GeeksforGeeks 并想投稿，你也可以使用contribute.geeksforgeeks.org写一篇文章或者把你的文章邮寄到 contribute@geeksforgeeks.org。看到你的文章出现在极客博客主页上，帮助其他极客。

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