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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 of the ages of all the people that live 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:
Example
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)
Try it Yourself »
Example
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)
Try it Yourself »