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How to create a vector in Python using NumPy
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Divide each row by a vector element using NumPy

Last Updated : 03 Oct, 2022
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The following article depicts how to Divide each row by a vector element using NumPy. The vector element can be a single element, multiple element, or array. The division operator ( / ) is employed to produce the required functionality.  We can divide rows of 1-D, 2-D, or even more types of arrays with vector elements and the following examples will help you understand better:

Divide row by a vector element in a 1-D Numpy array

In the example, we divide the rows of a 1-D Numpy array with a vector element i.e [15]

Python3 
# Importing Numpy module  import numpy as np  # Creating 1-D Numpy array n_arr = np.array([20, 30, 40]) print("Given 1-D Array:") print(n_arr)  # Vector element  vec = np.array([12]) print("\nVector element:") print(vec)  # Dividing rows of 1-D array with vector element print("\nResultant Array") print(n_arr / vec[:,None])

Output:

 

Divide each by a vector element in a 2-D Numpy array

In the example, we divide each row by a vector element of a 2-D Numpy array with a vector element i.e [2.5]

Python3 
# Importing Numpy module  import numpy as np  # Creating 2-D Numpy array n_arr = np.array([[20, 35, 40],                 [10, 51, 25]])  print("Given 2-D Array:") print(n_arr)  # Vector element  vec = np.array([2.5]) print("\nVector element:") print(vec)  # Dividing rows of 2-D array with vector element print("\nResultant Array") print(n_arr / vec[:,None])

Output:

 

Divide row by a vector element in a 3-D Numpy array

In the example, we divide the rows of a 3-D Numpy array with a vector element i.e [3, 3]

Python3 
# Importing Numpy module  import numpy as np  # Creating 3-D Numpy array n_arr = np.array([[[10, 25], [30, 45]],                    [[50, 65], [70, 85]]])  print("Given 3-D Array:") print(n_arr)  # Vector element  vec = np.array([3, 3]) print("\nVector element:") print(vec)  # Dividing rows of 3-D array with vector element print("\nResultant Array") print(n_arr / vec[:,None])

Output:

 

Next Article
How to create a vector in Python using NumPy
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Article Tags :
  • Python
  • Python-numpy
  • Python numpy-arrayManipulation
Practice Tags :
  • python

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