This community-built FAQ covers the “Percentiles, Part I” exercise from the lesson “Introduction to Statistics with NumPy”.
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This exercise can be found in the following Codecademy content:
Data Science
Introduction to Statistics with NumPy
FAQs on the exercise Percentiles, Part I
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What is the difference between the percentage and percentile?
I can’t get clear
I noticed the array was not sorted before I ran np.percentile. Does np.percentile sort the list for you?
2 Likes
i also have the same question
Maybe a little late, but yes, it does.
You can check it out by sorting your array:
patrons = np.array([ 2, 6, 14, 4, 3, 9, 1, 11, 4, 2, 8])
patrons_ordered = np.sort(patrons)
print(patrons_ordered)
thirtieth_percentile = np.percentile(patrons, 30)
print(thirtieth_percentile)
seventieth_percentile = np.percentile(patrons, 70)
print(seventieth_percentile)
The output would be this:
[ 1 2 2 3 4 4 6 8 9 11 14]
3.0 <-- 30th percentile
8.0 <-- 70th percentile
Cheers! 
1 Like
what if the array has even instead of odd numbers? what then is the calculation behind the number generated for the 30th and 70th percentile? TIA!
