This is a Python implementation of QuickStats, a class that calculates
basic descriptive statistics from a stream of data with efficient dynamic
updating. Data can be added to a QuickStats object qs using
qs.new_obs(datum) or qs.add_all(iterable_collection), both of which
can be chained, e.g. qs.new_obs(1).new_obs(2) or
qs.add_all([1,2]).new_obs(3). Statistics for the current set of
data can be polled on demand: qs.n, qs.avg, qs.s, qs.var, etc.
See the python docs for detailed information.
1 maintainer
Metadata
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Release files for adaptive-stats 0.1.0
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| File | Size | Uploaded | Provenance | |
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| adaptive_stats-0.1.0.tar.gz | 35.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adaptive_stats-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.8 kB
Release files / adaptive_stats-0.1.0.tar.gz
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| Size | 35.8 kB |
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Release files / adaptive_stats-0.1.0-py3-none-any.whl
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| Size | 4.0 kB |
| Tags | Python 3 |
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