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 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out也是标量,否则会返回一个数组。第一个参数x是要计算其对数的值。

步骤

首先,导入所需的库−

import numpy as np

使用array()方法创建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)

检查维度−

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,请在Python Numpy中使用np.emath.log()方法−

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

示例

Open Compiler
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))

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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]

更新于:01-Mar-2022

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