What are Percentiles?
Percentiles are used in statistics to give you a number that describes the value that a given percent of the values are lower than.
Example: Let's say we have an array that contains the ages of every person living on a street.
<p><code class="pythonHigh">ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]</code></p>
What is the 75. percentile? The answer is 43, meaning that 75% of the people are 43 or younger.
The NumPy module has a method for finding the specified percentile:
Example
import numpy
ages =
[5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
x = numpy.percentile(ages, 75)
print(x)
Example
import numpy
ages =
[5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
x = numpy.percentile(ages, 90)
print(x)
