numpy.greater_equal() in Python
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.
Share your thoughts in the comments
Please Login to comment...