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Python 中的 numpy.less()

原文:https://www.geeksforgeeks.org/numpy-less-python/

numpy.less() : 检查 x1 是否小于 x2。 语法:

numpy.less(x1, x2[, out])

参数:

x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be 
             broadcastable to a common shape 
out    : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are scalars.

返回:

Boolean array indicating results, whether x1 is lesser than x2 or not.

代码 1 :

# Python Program illustrating
# numpy.less() method

import numpy as geek 

a  = geek.less([8., 2.], [5., 3.])
print("Not equal : \n", a, "\n")

b = geek.less([2, 2], [[1, 3],[1, 4]])
print("Not equal : \n", b, "\n")

a = geek.array([4,2])
b = geek.array([6,2])

print("Is a lesser than b : ", a < b)

输出:

Not equal : 
 [False  True] 

Not equal : 
 [[False  True]
 [False  True]] 

Is a lesser than b :  [ True False]]

代码 2 :

# Python Program illustrating
# numpy.less() method

import numpy as geek 

# Here we will compare Complex values with int 
a = geek.array([1j,2])
b = geek.array([1,2])

# indicating 1j is lesser than 1
print("Comparing complex with int : ", a < b)

# indicating 1j is lesser than 1
d  = geek.less(a, b)
print("\n Comparing complex with int  .less() : ", d)

输出:

Comparing complex with int :  [ True False]

 Comparing complex with int  .less() :  [ True False]

代码 3 :

# Python Program illustrating
# numpy.less() method

import numpy as geek 

# Here we will compare Float with int values
a = geek.array([1.1, 1])
b = geek.array([1, 2])

# indicating 1.1 is greater than 1
print("Comparing float with int : ", a < b)

# indicating 1.1 is greater than 1
d  = geek.less(a, b)
print("\n Comparing float with int using  .less() : ", d)

输出:

Comparing float with int :  [False  True]

 Comparing float with int using  .less() :  [False  True]

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

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的 。 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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