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numpy.greater() in Python

Last Updated : 08 Mar, 2024
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The numpy.greater() checks whether x1 is greater than x2 or not. Syntax : 

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

Parameters : 

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.

Return : 

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

Code 1 : 

Python




# Python Program illustrating
# numpy.greater() method
   
import numpy as geek 
  
= geek.greater([8., 2.], [5., 3.])
print("Not equal : \n", a, "\n")
  
b = geek.greater([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 greater than b : ", a > b)


Output : 

Not equal : 
 [ True False] 

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

Is a greater than b :  [False False]

Code 2 : 

Python




# Python Program illustrating
# numpy.greater() 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
= geek.greater(a, b)
print("\n Comparing float with int using  .greater() : ", d)


Output : 

Comparing float with int :  [False  True]

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

Code 3 : 

Python




# Python Program illustrating
# numpy.greater() 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 greater than 1
print("Comparing complex with int : ", a < b)
  
# indicating 1j is greater than 1
= geek.greater(a, b)
print("\nComparing complex with int using .greater() : ", d)


Output : 

Comparing complex with int :  [ True False]

Comparing complex with int using .greater() :  [False False]

Note : These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.



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