Syntax error Compute the natural logarithm with scimath in Python

Compute the natural logarithm with scimath in Python

To compute the natural logarithm with scimath, use the np.emath.log() method in Python Numpy. The method returns the log of the x value(s). If x was a scalar, so is out, otherwise an array is returned. The 1st parameter, x is the value(s) whose log is (are) required.

Steps

At first, import the required libraries −

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))

Example

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))

Output

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]
Updated on: 2022-03-01T07:46:37+05:30

161 Views

Kickstart Your Career

Get certified by completing the course

Get Started
Advertisements