Python 中的 numpy.extract()
哎哎哎:# t0]https://www . geeksforgeeks . org/num py-extract-python/
numpy.extract() 函数返回 input_array 的元素，如果它们满足某个指定的条件。
Syntax: numpy.extract(condition, array)
参数:
array : Input array. User apply conditions on input_array elements
condition : [array_like]Condition on the basis of which user extract elements.
Applying condition on input_array, if we print condition, it will return an array
filled with either True or False. Array elements are extracted from the Indices having
True value.
返回:
Array elements that satisfy the condition.
计算机编程语言
# Python Program illustrating
# numpy.compress method
import numpy as geek
array = geek.arange(10).reshape(5, 2)
print("Original array : \n", array)
a = geek.mod(array, 4) !=0
# This will show element status of satisfying condition
print("\nArray Condition a : \n", a)
# This will return elements that satisfy condition "a" condition
print("\nElements that satisfy condition a : \n", geek.extract(a, array))
b = array - 4 == 1
# This will show element status of satisfying condition
print("\nArray Condition b : \n", b)
# This will return elements that satisfy condition "b" condition
print("\nElements that satisfy condition b : \n", geek.extract(b, array))
输出:
Original array :
[[0 1]
[2 3]
[4 5]
[6 7]
[8 9]]
Array Condition a :
[[False True]
[ True True]
[False True]
[ True True]
[False True]]
Elements that satisfy condition a :
[1 2 3 5 6 7 9]
Array Condition b :
[[False False]
[False False]
[False True]
[False False]
[False False]]
Elements that satisfy condition b :
[5]
参考文献: https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . extract . html # numpy . extract 注意: 同样，这些代码不会在 online-ID 上运行。请在您的系统上运行它们来探索工作。 本文由莫希特·古普塔 _OMG 供稿😀。如果你喜欢 GeeksforGeeks 并想投稿，你也可以使用write.geeksforgeeks.org写一篇文章或者把你的文章邮寄到 review-team@geeksforgeeks.org。看到你的文章出现在极客博客主页上，帮助其他极客。 如果发现有不正确的地方，或者想分享更多关于上述话题的信息，请写评论。
