NumPy: Convert a NumPy array of float values to a NumPy array of integer values

NumPy: Array Object Exercise-82 with Solution

Write a NumPy program to convert a NumPy array of floating values to a numpy array of integer values.

Pictorial Presentation:

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a 2-dimensional array 'x' with floating-point values
x = np.array([[12.0, 12.51], [2.34, 7.98], [25.23, 36.50]])

# Printing a message indicating the original array elements will be shown
print("Original array elements:")

# Printing the original array 'x' with its elements
print(x)

# Printing a message indicating the conversion of float values to integer values
print("Convert float values to integer values:")

# Converting the floating-point values in the array 'x' to integer values using astype(int)
# Printing the array obtained after conversion
print(x.astype(int)) 

Sample Output:

Original array elements:                                               
[[ 12.    12.51]                                                       
 [  2.34   7.98]                                                       
 [ 25.23  36.5 ]]                                                      
Convert float values to integer values:                                  
[[12 12]                                                               
 [ 2  7]                                                               
 [25 36]]

Explanation:

In the above code –

x = np.array([[12.0, 12.51], [2.34, 7.98], [25.23, 36.50]]): This line creates a NumPy array x with the given float values. The array has a shape of (3, 2).

print(x.astype(int)): Convert the elements of the array x to integers using the astype method, and then print the resulting array. The astype method creates a new array with the int data type. The conversion from float to int results in truncating the decimal part, effectively rounding the values down to the nearest integer.

Python-Numpy Code Editor:

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