  # Python | Numpy numpy.ndarray .__ eq __ ()

NumPy | Python Methods and Functions

With the Numpy numpy.ndarray .__ eq __ () method we can determine which element of the array is equal to the value specified in the parameter ... It will return you an empty boolean array with only True and False values.

Syntax: ndarray .__ eq __ (\$ self, value, /)
Return: self == value

Example # 1:
In this example, we can see that after applying ` numpy .__ eq __ () ` we get a simple boolean array that can tell us which element in the array is equal to the element of 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 ]) ``   # applying the numpy method .__ eq __ () print (gfg .__ eq __ ( 4 )) `

Exit:

` [ False False False True False False] `

Example # 2:

 ` # import 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 .__ eq __ () ` ` print ` ` (gfg .__ eq __ (` ` 4 ` `)) `

Exit :

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