numpy.all() in Python

About :
numpy.all(array, axis = None, out = None, keepdims = class numpy._globals._NoValue at 0x40ba726c) : tests whether all array elements along the mentioned axis evaluate to True.
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 :

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# 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]]))

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Output : 


Bool Value with axis = NONE  :  False

Bool Value with axis = 0  :  [ True False]

Bool :  True

Bool :  True

Bool Value :  False



Code 2 :













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# 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)) 



















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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-ID. Please run them on your systems to explore the working.

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