The numpy.all() function tests whether all array elements along the mentioned axis evaluate to True.
Syntax: numpy.all(array,
axis = None,
out = None,
keepdims = class numpy._globals._NoValue at 0x40ba726c)
Parameters :
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
keepdims : [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.
Return :
A new Boolean array as per 'out' parameter
Code 1 :
Python
# 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 : Falseprint("\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]])) |
Output :
Bool Value with axis = NONE : False Bool Value with axis = 0 : [ True False] Bool : True Bool : True Bool Value : False
Code 2 :
Python
# Python Program illustrating# numpy.all() method# Parameter : keepdims import numpy as geek# setting keepdims = Trueprint("\nBool Value : ", geek.all([[1, 0],[0, 4]], True))# setting keepdims = Trueprint("\nBool Value : ", geek.all([[0, 0],[0, 0]], False)) |
Output :
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)
References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.all.html#numpy.all
Note : These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
This article is contributed by Mohit Gupta_OMG 😀. If you like Lazyroar and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the Lazyroar main page and help other Geeks. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
