Python's missing statistical Swiss Army knife
Project description
StatsCounter: A statistics-enabled Python container
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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
>>> import statscounter as stats >>> letter_freq = stats.StatsCounter(a=1, b=2, c=3, d=4, e=4, f=6) >>> letter_freq.mean() # average frequency 3.3333333333333335 >>> letter_freq.mode() # most frequent element 4 >>> letter_freq.median() # the median number (avg if even # of items) 3.5 >>> letter_freq.variance() # sample variance 3.066666666666667 >>> letter_freq.stdev() # sample standard deviation 1.7511900715418263 >>> letter_freq.pvariance() # population variance 2.555555555555556 >>> letter_freq.pstdev() # population std. dev. 1.5986105077709065 >>> letter_freq.max() # the maximum value 6 >>> letter_freq.argmax() # the argument yielding the maximum value "f"
As a utility
>>> import statscounter as stats >>> stats.mean([1, 2, 3, 4, 4, 6]) # average frequency 3.3333333333333335 >>> stats.mode([1, 2, 3, 4, 4, 6]) # most frequent element 4 >>> 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 variance 3.066666666666667 >>> stats.stdev([1, 2, 3, 4, 4, 6]) # sample standard deviation 1.7511900715418263 >>> stats.pvariance([1, 2, 3, 4, 4, 6]) # population variance 2.555555555555556 >>> stats.pstdev([1, 2, 3, 4, 4, 6]) # population std. dev. 1.5986105077709065
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