To compute the logarithm base n with scimath, use the scimath.logn() method in Python Numpy. The method returns the log base n of the x value(s). If x was a scalar, so is out, otherwise an array is returned.
If x contains negative inputs, the answer is computed and returned in the complex domain. The 1st parameter, n is the integer base(s) in which the log is taken. The 2nd parameter, x is the value(s) whose log base n 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([-4, -8, 8])
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 logarithm base n with scimath, use the scimath.logn() method in Python Numpy. The method returns the log base n of the x value(s). If x was a scalar, so is out, otherwise an array is returned −
print("\nResult (logn)...\n",np.emath.logn(2, arr))Example
import numpy as np
# Creating a numpy array using the array() method
arr = np.array([-4, -8, 8])
# 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 logarithm base n with scimath, use the scimath.logn() method in Python Numpy
# The method returns the log base n of the x value(s). If x was a scalar, so is out, otherwise an array is returned.
print("\nResult (logn)...\n",np.emath.logn(2, arr))Output
Our Array... [-4 -8 8] Dimensions of our Array... 1 Datatype of our Array object... int64 Shape of our Array object... (3,) Result (logn)... [2.+4.53236014j 3.+4.53236014j 3.+0.j ]