numpy.float_power() in Python

numpy.float_power(arr1, arr2, out = None, where = True, casting = 'same_kind', order = 'K', dtype = None) : Array element from first array is raised to the power of element from second element(all happens element-wise). Both arr1 and arr2 must have same shape. float_power differs from the power function in that integers, float16, and float32 are promoted to floats with a minimum precision of float64 such that result is always inexact. This function will return a usable result for negative powers and seldom overflow for +ve powers. Parameters :

arr1 : [array_like]Input array or object which works as base.
arr2 : [array_like]Input array or object which works as exponent. 
out : [ndarray, optional]Output array with same dimensions as Input array, 
 placed with result.
**kwargs : Allows you to pass keyword variable length of argument to a function. 
 It is 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 :

An array with elements of arr1 raised to exponents in arr2

  Code 1 : arr1 raised to arr2 Output :

arr1 : [2, 2, 2, 2, 2]
arr1 : [2, 3, 4, 5, 6]

Output array : [ 4. 8. 16. 32. 64.]

  Code 2 : elements of arr1 raised to exponent 2 Output :

arr1 : [0 1 2 3 4 5 6 7]

Output array : [ 0. 1. 4. 9. 16. 25. 36. 49.]

  Code 3 : float_power handling results if arr2 has -ve elements

Output :

arr1 : [2, 2, 2, 2, 2]
arr2 : [2, -3, 4, -5, 6]

Output array : [ 4.00000000e+00 1.25000000e-01 1.60000000e+01 
 3.12500000e-02 6.40000000e+01]

References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.float_power.html#numpy.float_power .