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Add Euler Mascheroni Constant to Each Element of a NumPy Array

By IncludeHelp Last updated : March 8, 2024

The Euler-Mascheroni constant or γ (gamma) is a mathematical constant value that originated from the experiments over harmonic series and logarithmic functions.

Problem Statement

Given a NumPy array, we are going to learn how to Euler-Mascheroni constant for each element of the array.

Adding Euler Mascheroni Constant to Each Element of a NumPy Array

To add the Euler-Mascheroni constant value to each element of the array, we may follow two simple approaches. First, we can directly add the result of np.euler_gamma to the original array. The np.euler_gamma constant returns the universally accepted value of the Euler-Mascheroni constant which is approximately 0.57721.

Secondly, we can create a complete array with only the Euler-Mascheroni constant and add this array to the original array by using the np.add() function.

Code to Add Euler Mascheroni Constant to Each Element of a NumPy Array

# Importing numpy
import numpy as np

# Creating an array
arr = np.array([1, 2, 3, 4, 5])
# Display original array
print("Original array", arr, "\n")

# Using for loop to add constant
arr = arr + np.euler_gamma

# Display result
print("Result:\n", arr)

Output

Original array [1 2 3 4 5] 

Result:
 [1.57721566 2.57721566 3.57721566 4.57721566 5.57721566]

Code to Create an Array from np.euler_gamma Result

# Importing numpy
import numpy as np

# Creating an array from np.eular_gamma
arr = np.zeros(5) + np.euler_gamma

# Creating an array of random values
arr2 = np.array([4, 6, 4, 2, 6])

# Display original array
print("Original array", arr2, "\n")

# Adding eular_gamma values to each value of arr2
res = np.add(arr, arr2)

# Display result
print("Result:\n", res)

Output

Original array [4 6 4 2 6] 

Result:
 [4.57721566 6.57721566 4.57721566 2.57721566 6.57721566]

To understand the above programs, you should have the basic knowledge of the following Python topics:

• Python Variables
• Python print() Method
• Python Data Types
• Python NumPy Tutorial

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