Democritus functions[1] for working with statistics.
[1] Democritus functions are simple, effective, modular, well-tested, and well-documented Python functions.
We use d8s (pronounced "dee-eights") as an abbreviation for democritus (you can read more about this here).
pip install d8s-stats
You import the library like:
from d8s_stats import *Once imported, you can use any of the functions listed below.
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def statistical_overview( data, *, data_is_sample: bool = False, result_if_no_mode: Any = None, raise_error_if_no_mode: bool = True ): """Return an overview of the data's statistical properties."""
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def mode(data, *, result_if_no_mode: Any = None, raise_error_if_no_mode: bool = True): """Return the item in the data which occurs the greatest number of times."""
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def variance(data, *, data_mean=None, data_is_sample: bool = False): """Return the variance of the data (assuming the data represents an entire population)."""
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def stdev(data, *, data_mean=None, data_is_sample: bool = False): """Return the standard deviation of the data (assuming the data represents an entire population)."""
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def mean(iterable): """Return the average of the list."""
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def harmonic_mean(iterable): """Return the harmonic mean of the list."""
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def geometric_mean(iterable): """Return the geometric mean of the list."""
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This package was created with Cookiecutter and Floyd Hightower's Python project template.