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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 float values to a NumPy array of integer values.

Pictorial Presentation:

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

Sample Solution:-

Python Code:

import numpy as np
x= np.array([[12.0, 12.51], [2.34, 7.98], [25.23, 36.50]])
print("Original array elements:")
print(x)
print("Convert float values to integer values:")
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]]

Python Code Editor:

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Python: Tips of the Day

Calling an external command from Python:

The subprocess module in the standard library:

Example:

import subprocess
subprocess.run(["ls", "-l"])

The advantage of subprocess vs. system is that it is more flexible (you can get the stdout, stderr, the "real" status code, better error handling, etc...).

The official documentation recommends the subprocess module over the alternative os.system():

The subprocess module provides more powerful facilities for spawning new processes and retrieving their results; using that module is preferable to using this function [os.system()].

The Replacing Older Functions with the subprocess Module section in the subprocess documentation may have some helpful recipes.

For versions of Python before 3.5, use call:

import subprocess
subprocess.call(["ls", "-l"])

Ref: https://bit.ly/2ANeuPR