A streaming statistics library
Project description
Streaming statistics
This is module for streaming statistics. It can efficiently calculate statistics on a stream of numbers in a minimum amount of memory.
It provides the following statistics:
| Statistic | Description |
|---|---|
n |
Number of values |
min |
Minimum value |
max |
Maximum value |
sum |
Sum of values |
mean |
Mean value |
stddev |
Standard deviation |
variance |
Variance |
In addition to the above statistics, it also provides the following percentiles: 1st, 5th, 25th, 50th, 75th, 95th, and 99th.
Here is an example result:
{
"n": 177966,
"mean": 237.02426306148718,
"variance": 184870.5448188569,
"stddev": 429.9657484252169,
"min": 0,
"max": 33408,
"sum": 42182260,
"1st": 5.002829575110743,
"5th": 17.994143369901202,
"10th": 25.791844500743554,
"25th": 49.90296094906744,
"50th": 100.4945677085671,
"75th": 242.2894312639693,
"90th": 607.9931874110874,
"95th": 925.3552129773512,
"99th": 1826.5794537820188
}
A script, script/stats will read numbers from standard input and print the statistics to standard output.
Installation
This code uses the poetry system to install Python dependencies. To install, clone this
repository, and then:
$ poetry install
$ poetry shell
It is also available as a Python package on PyPI.
$ pip install streaming_statistics
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