使用scimath.power()方法返回Python中输入值的幂结果

要返回使用scimath将输入值提高到的幂的结果，请在Python中使用scimath.power()方法。返回x的p次幂，即x**p的结果。如果x和p是标量，则out也是标量，否则将返回数组。如果x包含负值，则输出将转换为复数域。参数x是输入值

参数p是将x提高到的幂。如果x包含多个值，p必须是标量或包含与x相同数量的值。在后一种情况下，结果是x[0]**p[0]，x[1]**p[1]，....

步骤

首先，导入所需的库-

import numpy as np

使用array()方法创建一个numpy数组：

arr = np.array([2, 4, 8, 16, 32])

显示数组−

print("Our Array...\n",arr)

检查尺寸 −

print("\nDimensions of our Array...\n",arr.ndim)

获取数据类型 −

print("\nDatatype of our Array object...\n",arr.dtype)

获取形状 –

print("\nShape of our Array object...\n",arr.shape)

用scimath.power()方法在Python中返回输入值的幂运算结果-

print("\nResult...\n",np.emath.power(arr, 2))

示例

import numpy as np

# Creating a numpy array using the array() method
arr = np.array([2, 4, 8, 16, 32])

# Display the array
print("Our Array...\n",arr)

# Check the Dimensions
print("\nDimensions of our Array...\n",arr.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",arr.dtype)

# Get the Shape
print("\nShape of our Array object...\n",arr.shape)

# To return the result of the power to which the input value is raised with scimath, use the scimath.power() method in Python
print("\nResult...\n",np.emath.power(arr, 2))

结果

Our Array...
[ 2 4 8 16 32]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(5,)

Result...
[ 4 16 64 256 1024]