Python | Numpy numpy.ndarray .__ lt __ ()



Using the Numpy numpy.ndarray .__ lt __ () method, we can determine which element of the array is less than the value specified in the parameter … It will return you an empty boolean array with only True and False values.

Syntax: ndarray .__ lt __ ($ self, value, /)

Return: self & lt; value

Example # 1:
In this example, we can see that after applying numpy .__ lt __ () we get a simple boolean array that can tell us which element in the array is less than the supplied parameter.

# import important module in python

import numpy as np

 
# make an array with NumPy

gfg = np.array ([ 1 , 2 , 3 , 4 , 5 , 6 ])

 
# using the numpy method .__ lt __ ()

print (gfg .__ lt __ ( 4 ))

Output:

 [True True True False False False] 

Example # 2:

# import an important module into python

import numpy as np

  
# make an array with NumPy

gfg = np.array ([[ 1 , 2 , 3 , 4 , 5 , 6 ],

[ 6 , 5 , 4 , 3 , 2 , 1 ]])

 
# applying the numpy method .__ lt __ ()

print (gfg .__ lt __ ( 4 ))

Exit:

 [[True True True False False False] [False False False True True True]]