使用Python中的scimath計算自然對數


要使用scimath計算自然對數,請在Python Numpy中使用np.emath.log()方法。該方法返回x值的對數。如果x是標量,則out也是標量,否則會返回一個數組。第一個引數x是要計算其對數的值。

步驟

首先,匯入所需的庫−

import numpy as np

使用array()方法建立numpy陣列−

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

顯示陣列−

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

檢查維度−

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

獲取資料型別−

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

獲取形狀−

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

要使用scimath計算自然對數,請在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))

輸出

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]

更新於:01-Mar-2022

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