NumPy: Compute the median of flattened given array

NumPy Statistics: Exercise-5 with Solution

From Wikipedia: The median is the value separating the higher half from the lower half of a data sample (a population or a probability distribution). For a data set, it may be thought of as the "middle" value. For example, in the data set {1, 3, 3, 6, 7, 8, 9}, the median is 6, the fourth largest, and also the fifth smallest, number in the sample. For a continuous probability distribution, the median is the value such that a number is equally likely to fall above or below it.
NumPy Statistics: Median
The median is a commonly used measure of the properties of a data set in statistics and probability theory. The basic advantage of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed so much by extremely large or small values, and so it may give a better idea of a "typical" value.

Write a NumPy program to compute the median of flattened given array.

Sample Solution:-

Python Code:

import numpy as np
x = np.arange(12).reshape((2, 6))
print("\nOriginal array:")
r1 =  np.median(x)
print("\nMedian of said array:")

Sample Output:

Original array:
[[ 0  1  2  3  4  5]
 [ 6  7  8  9 10 11]]

Median of said array:

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a NumPy program to compute the 80th percentile for all elements in a given array along the second axis.
Next: Write a NumPy program to compute the weighted of a given array.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz

Python: Tips of the Day

Chain Operators

You can chain comparison operators in Python as following: n = 10 result = 1 < n < 20

distance = 200
checker = 100 < distance < 350