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numpy.greater_equal () in Python

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About:
numpy.greater_equal (x1, x2 [, out]): checks if x1" = x2 or not. 
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 program illustrating
# numpy.greater_equal () method

 

import numpy as geek 

  

= geek.greater_equal ([ 8. , 2. ], [ 5. , 3. ])

print ( "Not equal:" , a, "" )

 

b = geek.greater_equal ([ 2 , 2 ], [[ 1 , 3 ], [ 1 , 4 ]])

print ( "Not equal:" , b, "" )

 

a = geek.array ([ 4 , 2 ])

b = geek.array ([ 6 , 2 ])

 

print ( "Is a greater_equal than b:" , a" = b)

Output:

 Not equal: [True False] Not equal: [[True False] [True False]] Is a greater_equal than b: [False True] 

Code 2:

# Python program illustrating
# numpy.greater_equal () method

 

import numpy as geek 

 
# Here we compare Float with int values ​​

a = geek.array ([ 1.1 , 1 ])

b = geek.array ([ 1 , 2 ])

 

 

print ( "Comparing float with int:" , a & lt; b)

 

 

= geek.greater_equal (a, b)

print ( "Comparing float with int using .greater_equal () : " , d)

Output:

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

Code 3:

# Python program illustrating
# numpy.greater_equal () method

 

import numpy as geek 

< p>  
# Here we compare complex values ​​with int

a = geek.array ([ 1j , 2 ])

b = geek.array ([ 1 , 2 ])

 

 

print ( "Comparing complex with int:" , a & lt; b)

 

 

= geek.greater_equal (a, b)

print ( "Comparing complex with int using .greater_equal () : " , d)

Output:

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

Links:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.greater.html#numpy.greater

Notes:
These codes will not work for online IDs. Please run them on your systems to see how they work

This article is provided by Mohit Gupta_OMG

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