numpy.power() in Python
numpy.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 and each element in arr1 must be raised to corresponding +ve value from arr2; otherwise it will raise a ValueError.
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.
An array with elements of arr1 raised to exponents in arr2
Code 1 : arr1 raised to arr2
arr1 : [2, 2, 2, 2, 2] arr2 : [2, 3, 4, 5, 6] Output array : [ 4 8 16 32 64]
Code 2 : elements of arr1 raised to exponent 2
arr1 : [0 1 2 3 4 5 6 7] Output array : [ 0 1 4 9 16 25 36 49]
Code 3 : Error if arr2 has -ve elements
arr1 : [2, 2, 2, 2, 2] arr2 : [2, -3, 4, -5, 6] ValueError: Integers to negative integer powers are not allowed.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course