numpy.greater_equal() in Python (original) (raw)

Last Updated : 19 Sep, 2023

The numpy.greater_equal() checks whether x1 >= x2 or not.
Syntax :

numpy.greater_equal(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 :

import numpy as geek

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

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

b = geek.greater_equal([ 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_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 :

import numpy as geek

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

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

print ( "Comparing float with int : " , a < b)

d = geek.greater_equal(a, b)

print ( "\n 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 :

import numpy as geek

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

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

print ( "Comparing complex with int : " , a < b)

d = geek.greater_equal(a, b)

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

Output :

Comparing complex with int : [ True False]

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

References :

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