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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: 01-Mar-2022
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