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Python 中的 numpy.all()

原文:https://www.geeksforgeeks.org/numpy-all-in-python/

numpy.all() 函数测试沿着所述轴的所有数组元素是否评估为真。

Syntax: numpy.all(array,
                    axis = None,
                    out = None,
                    keepdims = class numpy._globals._NoValue at 0x40ba726c)

参数:

array    :[array_like]Input array or object whose elements, we need to test.
axis     : [int or tuple of ints, optional]Axis along which array elements 
     are evaluated.
     The default (axis = None) is to perform a logical AND over all the dimensions of the input
     array. Axis may be negative, in which case it counts from the last to the first axis.
out      : [ndarray, optional]Output array with same dimensions as Input array, 
     placed with result
keepdmis : [boolean, optional]If this is set to True, the axes which are 
     reduced are left in the result as dimensions with size one. With this option, the result 
     will broadcast correctly against the input array.
     If the default value is passed, then keepdims will not be passed through to the all 
     method of sub-classes of ndarray, however any non-default value will be. If the 
     sub-classes sum method does not implement keepdims any exceptions will be raised.

返回:

A new Boolean array as per 'out' parameter

代码 1 :

# Python Program illustrating
# numpy.all() method

import numpy as geek

# Axis = NULL 
#  True    False
#  True    True
#  True  : False  =  False

print("Bool Value with axis = NONE  : ",
      geek.all([[True,False],[True,True]]))

# Axis = 0 
#  True    False
#  True    True
#  True  : False
print("\nBool Value with axis = 0  : ",
      geek.all([[True,False],[True,True]], axis = 0))

print("\nBool : ", geek.all([-1, 4, 5]))

# Not a Number (NaN), positive infinity and negative infinity 
# evaluate to True because these are not equal to zero.
print("\nBool : ", geek.all([1.0, geek.nan]))

print("\nBool Value : ", geek.all([[0, 0],[0, 0]]))

输出:

Bool Value with axis = NONE  :  False

Bool Value with axis = 0  :  [ True False]

Bool :  True

Bool :  True

Bool Value :  False

代码 2 :

# Python Program illustrating
# numpy.all() method

# Parameter : keepdmis      

import numpy as geek

# setting keepdmis = True
print("\nBool Value : ", geek.all([[1, 0],[0, 4]], True))

# setting keepdmis = True
print("\nBool Value : ", geek.all([[0, 0],[0, 0]], False))

输出:


Bool Value :  [False False]

Bool Value :  [False False]
VisibleDeprecationWarning: using a boolean instead of an integer
 will result in an error in the future
 return umr_all(a, axis, dtype, out, keepdims)

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

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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