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 of the ages of all the people that lives in a street.
ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]
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:
Use the NumPy percentile() method to find the percentiles:
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)
What is the age that 90% of the people are younger than?
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)