NumPy: Array converted to a float type

NumPy: Array Object Exercise-7 with Solution

Write a NumPy program to convert an array to a floating type.

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Defining a Python list 'a' containing integers
a = [1, 2, 3, 4]

# Printing the original array 'a'
print("Original array")
print(a)

# Converting the array 'a' to a NumPy array of type float using asfarray()
x = np.asfarray(a)

# Printing the array 'x' after converting to a float type
print("Array converted to a float type:")
print(x) 

Sample Output:

Original array                                                          
[1, 2, 3, 4]                                                            
Array converted to a float type:                                        
[ 1.  2.  3.  4.]

Explanation:

In the above code -

a = [1, 2, 3, 4]: Defines a list a containing the integers 1, 2, 3, and 4.

x = np.asfarray(a): The np.asfarray() function converts the given list ‘a’ into a one-dimensional NumPy array with a floating-point data type (by default, it uses float64). In this case, the list ‘a’ contains integers, so they will be converted to floating-point numbers in the resulting NumPy array ‘x’.

Python-Numpy Code Editor:

Previous: Write a NumPy program to reverse an array (first element becomes last).
Next: Write a NumPy program to create a 2d array with 1 on the border and 0 inside.