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 arrayn_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 elementprint("\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 arrayn_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 elementprint("\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 arrayn_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 elementprint("\nResultant Array")print(n_arr / vec[:,None]) |
Output:
