使用Python中的scimath计算自然对数

要使用scimath计算自然对数，请在Python的Numpy中使用np.emath.log()方法。该方法返回x值的对数。如果x是标量，则输出也是标量，否则将返回一个数组。第一个参数x是需要计算对数的值（们）。

步骤

首先导入所需的库 –

import numpy as np

创建一个使用array()方法的numpy数组−

arr = np.array([np.inf, -np.inf, np.exp(1), -np.exp(1)])

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)

要使用scimath计算自然对数，在Python Numpy中使用np.emath.log()方法 –

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

示例

import numpy as np

# Creating a numpy array using the array() method
arr = np.array([np.inf, -np.inf, np.exp(1), -np.exp(1)])

# 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 compute the natural logarithm with scimath, use the np.emath.log() method in Python Numpy.
print("\nResult (log)...\n",np.emath.log(arr))

输出

Our Array...
[ inf -inf 2.71828183 -2.71828183]

Dimensions of our Array...
1

Datatype of our Array object...
float64

Shape of our Array object...
(4,)

Result (log)...
[inf+0.j inf+3.14159265j 1.+0.j 1.+3.14159265j]