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NumPy: Calculate the absolute value element-wise

NumPy Mathematics: Exercise-7 with Solution

Write a NumPy program to calculate the absolute value element-wise.

Sample Solution:-

Python Code:

import numpy as np
x = np.array([-10.2, 122.2, .20])
print("Original array:")
print(x)
print("Element-wise absolute value:")
print(np.absolute(x))

Sample Output:

Original array:                                                        
[ -10.2  122.2    0.2]                                                 
Element-wise absolute value:                                           
[  10.2  122.2    0.2]

Pictorial Presentation:

NumPy Mathematics: Calculate the absolute value element-wise.

Python Code Editor:

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Previous: Write a NumPy program to get the element-wise remainder of an array of division.
Next: Write a NumPy program to round array elements to the given number of decimals.

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Python: Tips of the Day

Time it:

timeit library is great for timing Python execution times. Just pass a function in string format to timeit.timeit() method and it will carry out 1 million executions to report the minimum time the code takes.

Its very useful to compare small code pieces and different functions but can be sluggish with big code.

Check out the example below demonstrating the execution time difference between 2 very similar list comprehension methods in Python:

import timeit
lst1='''list(range(100))'''
lst2='''[i for i in range(100)]'''
a=timeit.timeit(lst1)
b=timeit.timeit(lst2)
print(a, b, sep="------")

Output:

1.9301698543131351------5.389458132907748