NumPy: Create an array of ones and an array of zeros
Create Zeros and Ones Array
Write a NumPy program to create an array of ones and zeros.
Sample Solution:
Python Code:
# Importing the NumPy library with an alias 'np'
import numpy as np
# Printing a message about creating an array of zeros
print("Create an array of zeros")
# Creating a 1x2 array filled with zeros, default type is float
x = np.zeros((1,2))
# Printing the default type (float) of the created array
print("Default type is float")
# Displaying the created array of zeros
print(x)
# Changing the type of the array 'x' to integer
print("Type changes to int")
x = np.zeros((1,2), dtype=np.int)
# Displaying the array 'x' after changing its type to integer
print(x)
# Printing a message about creating an array of ones
print("Create an array of ones")
# Creating a 1x2 array filled with ones, default type is float
y = np.ones((1,2))
# Printing the default type (float) of the created array
print("Default type is float")
# Displaying the created array of ones
print(y)
# Changing the type of the array 'y' to integer
print("Type changes to int")
y = np.ones((1,2), dtype=np.int)
# Displaying the array 'y' after changing its type to integer
print(y)
Sample Output:
Create an array of zeros Default type is float [[ 0. 0.]] Type changes to int [[0 0]] Create an array of ones Default type is float [[ 1. 1.]] Type changes to int [[1 1]]
Explanation:
In the above code -
x = np.zeros((1,2)): This line creates a NumPy array ‘x’ of shape (1, 2) filled with zeros. By default, the dtype is 'float64'.
x = np.zeros((1,2), dtype = np.int): This line reassigns ‘x’ to a new array with the same shape (1, 2) filled with zeros, but with the dtype set to 'int' (integer).
print(x): This line prints the integer array x filled with zeros.
y = np.ones((1,2)): This line creates a NumPy array ‘y’ of shape (1, 2) filled with ones. By default, the dtype is 'float64'.
y = np.ones((1,2), dtype = np.int): This line reassigns ‘y’ to a new array with the same shape (1, 2) filled with ones, but with the dtype set to 'int' (integer).
print(y): This line prints the integer array ‘y’ filled with ones.
Python-Numpy Code Editor: