Skip to content

Latest commit

History

34 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

StatsCounter: A statistics-enabled Python container

 _ _ _
___| |_ __ _| |_ ___ ___ ___ _ _ _ __ | |_ ___ _ __
/ __| __/ _` | __/ __|/ __/ _ \| | | | '_ \| __/ _ \ '__|
\__ \ || (_| | |_\__ \ (_| (_) | |_| | | | | || __/ |
|___/\__\__,_|\__|___/\___\___/ \__,_|_| |_|\__\___|_|

StatsCounter is a GNU Licensed, statistics powered version of Python's standard library Counter class. It attaches several helpful methods that can be used to make your data-driven uses a breeze.

Usage

As a histogram

>>>importstatscounterasstats>>>letter_freq=stats.StatsCounter(a=1, b=2, c=3, d=4, e=4, f=6)
>>>letter_freq.mean() # average frequency3.3333333333333335>>>letter_freq.mode() # most frequent element4>>>letter_freq.median() # the median number (avg if even # of items)3.5>>>letter_freq.variance() # sample variance3.066666666666667>>>letter_freq.stdev() # sample standard deviation1.7511900715418263>>>letter_freq.pvariance() # population variance2.555555555555556>>>letter_freq.pstdev() # population std. dev.1.5986105077709065>>>letter_freq.max() # the maximum value6>>>letter_freq.argmax() # the argument yielding the maximum value"f"

As a utility

>>>importstatscounterasstats>>>stats.mean([1, 2, 3, 4, 4, 6]) # average frequency3.3333333333333335>>>stats.mode([1, 2, 3, 4, 4, 6]) # most frequent element4>>>stats.median([1, 2, 3, 4, 4, 6]) # the median number (avg if even # of items)3.5>>>stats.variance([1, 2, 3, 4, 4, 6]) # sample variance3.066666666666667>>>stats.stdev([1, 2, 3, 4, 4, 6]) # sample standard deviation1.7511900715418263>>>stats.pvariance([1, 2, 3, 4, 4, 6]) # population variance2.555555555555556>>>stats.pstdev([1, 2, 3, 4, 4, 6]) # population std. dev.1.5986105077709065

About

Python's missing statistical Swiss Army knife

Resources

Stars

15 stars

Watchers

3 watching

Forks

Releases

Packages

Used by

Contributors

Languages