numpy.any() in Python - GeeksforGeeks

28 Mar, 2022
The numpy.any() function tests whether any array elements along the mentioned axis evaluate to True. Syntax : 
numpy.any(a,
          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
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.
Return : 
A new Boolean array as per 'out' parameter
Code 1 : 
Python
# Python Program illustrating# numpy.any() method   import numpy as geek   # Axis = NULL#  True    False#  True    True#  True  : False  =  True (OR)  print("Bool Value with axis = NONE  : ",      geek.any([[True,False],[True,True]]))  # Axis = 0#  True    False#  True    True#  True  : Falseprint("\nBool Value with axis = 0  : ",      geek.any([[True,False],[True,True]], axis = 0))  print("\nBool : ", geek.any([-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.any([1.0, geek.nan]))  print("\nBool Value : ", geek.any([[0, 0],[0, 0]]))
Output : 
Bool Value with axis = NONE  :  True

Bool Value with axis = 0  :  [ True  True]

Bool :  True

Bool :  True

Bool Value :  False
Code 2 : 
Python
# Python Program illustrating# numpy.any() method # Parameter : keepdmis                 import numpy as geek # setting keepdmis = Trueprint("\nBool Value : ", geek.any([[1, 0],[0, 4]], True))  # setting keepdmis = Trueprint("\nBool Value : ", geek.any([[0, 0],[0, 0]], False))
Output : 
Bool Value :  [ True  True]

Bool Value :  [False False]
VisibleDeprecationWarning: using a boolean instead of an integer 
will result in an error in the future
return umr_any(a, axis, dtype, out, keepdims)
References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.any.html#numpy.any 
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 GeeksforGeeks 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 GeeksforGeeks 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.
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