Deciles divide a dataset into ten equal parts, each representing 10% of the data. For example, the first decile represents the point below which 10% of the data falls, the second decile represents the point below which 20% of the data falls, and so on.
Let’s see how to calculate deciles in Python using the statistics.quantiles function with n=10, which returns the cut points that split your data into ten equal parts.
Calculating deciles in Python
To calculate deciles, we need to import the statistics module.
To calculate deciles in Python, call statistics.quantiles(x, n=10) on your data list, which produces the nine decile values marking the 10%, 20%, …, 90% positions in the sorted dataset.
import statistics as s
x = [1, 5, 7, 5, 43, 43, 8, 43, 6, 65, 63, 42, 1, 76, 43, 87, 53, 54]
deciles = s.quantiles(x, n=10)
print("Deciles are: " + str(deciles))