Python | Numpy ndarray.item ()

Using the numpy.ndarray.item() method, we can retrieve the data items that are found at the specified index in the numpy array. Remember that we can give the index as a one-dimensional parameter or it can be two-dimensional.

Parameters:
* args: Arguments ( variable number and type)
-" none: This argument only works when size of an array is 1.
-" int_type: This argument is interpreted as a flat index into the array, specifying which element to return.
-" tuple of int_types: This argument is interpreted as a two dimensional array, by specifying which element to return.

Returns: Copy of an Item

Example # 1:
In this example, we see that by specifying an argument in ndarray.item () , we can get an element if it exists in this index.

# import important module in python import numpy as np   # make array with NumPy gfg = np. array ([ 1 , 2 , 3 , 4 , 5 ] )   # applying the ndarray.item () method print (gfg.item ( 2 ))

Output:

 3 

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 , 5 , 4 , 3 , 2 ]])   # applying the ndarray.item () method print (gfg .item (( 1 , 2 )))

Output:

 4