numpy.reciprocal() in Python

Syntax :numpy.reciprocal(x, /, out=None, *, where=True) Parameters : x[array_like]: Input array or object whose elements needed to test. out [ndarray, optional]: A location into which the result is stored.   --> If provided, it must have a shape that the inputs broadcast to.   --> If not provided or None, a freshly-allocated array is returned. **kwargs : Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function. where [array_like, optional]: True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone. Return : y : ndarray. This is a scalar if x is a scalar.

# Python3 code demonstrate reciprocal() function

# importing numpy
import numpy as np

in_num = 2.0
print ("Input  number : ", in_num)

out_num = np.reciprocal(in_num)
print ("Output number : ", out_num)

Input  number :  2.0
Output number :  0.5

# Python3 code demonstrate reciprocal() function

# importing numpy
import numpy as np

in_arr = [2., 3., 8.] 
print ("Input array : ", in_arr) 
  
out_arr = np.reciprocal(in_arr) 
print ("Output array : ", out_arr) 

Input array :  [2.0, 3.0, 8.0]
Output array :  [ 0.5         0.33333333  0.125     ]

# Python3 code demonstrate Exception in reciprocal() function

# importing numpy
import numpy as np

in_arr = [2, 3, 8] 
print ("Input array : ", in_arr) 
  
out_arr = np.reciprocal(in_arr) 
print ("Output array : ", out_arr) 

Input array :  [2, 3, 8]
Output array :  [0 0 0]