numpy.power(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None):
el elemento de la array de la primera array se eleva a la potencia del elemento del segundo elemento (todos ocurre elemento-sabio). Tanto arr1 como arr2 deben tener la misma forma y cada elemento en arr1 debe elevarse al valor +ve correspondiente de arr2; de lo contrario, generará un ValueError .
Parámetros:
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.
Devolver :
An array with elements of arr1 raised to exponents in arr2
Código 1: arr1 elevado a arr2
# Python program explaining # power() function import numpy as np # input_array arr1 = [2, 2, 2, 2, 2] arr2 = [2, 3, 4, 5, 6] print ("arr1 : ", arr1) print ("arr1 : ", arr2) # output_array out = np.power(arr1, arr2) print ("\nOutput array : ", out)
Producción :
arr1 : [2, 2, 2, 2, 2] arr2 : [2, 3, 4, 5, 6] Output array : [ 4 8 16 32 64]
Código 2: elementos de arr1 elevados al exponente 2
# Python program explaining # power() function import numpy as np # input_array arr1 = np.arange(8) exponent = 2 print ("arr1 : ", arr1) # output_array out = np.power(arr1, exponent) print ("\nOutput array : ", out)
Producción :
arr1 : [0 1 2 3 4 5 6 7] Output array : [ 0 1 4 9 16 25 36 49]
Código 3: error si arr2 tiene elementos -ve
# Python program explaining # power() function import numpy as np # input_array arr1 = [2, 2, 2, 2, 2] arr2 = [2, -3, 4, -5, 6] print ("arr1 : ", arr1) print ("arr2 : ", arr2) # output_array out = np.power(arr1, arr2) print ("\nOutput array : ", out)
Producción :
arr1 : [2, 2, 2, 2, 2] arr2 : [2, -3, 4, -5, 6] ValueError: Integers to negative integer powers are not allowed.
Referencias:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.power.html#numpy.power
.
Publicación traducida automáticamente
Artículo escrito por Mohit Gupta_OMG 🙂 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA