timeseries

A Python library for the interpretation and treatment of time-series data.

pip install va-timeseries

What is it?

A set of methods to process timeseries data.

Main Features

Seasonal Decomposition -> trend -> detrend -> seasonal -> residual -> plot()

Seasonal Adjustment

timeseries.seasonal_pattern (series, period)
timeseries.series_frequencies (series)
timeseries.cycle_periods (series) <- estimate

timeseries.linear_regression (x, y)
timeseries.henderson (series, window)
timeseries.rolling_average (series, window)

Methods for identifying and describing trends in data.

Control Charts

cc = timeseries.control_chart(series, samples=8)

Predict

// predict (cycles)

Helper Methods

timeseries.fillna (series, filler=0)
timeseries.mean (series)
timeseries.standard_deviation (series)
timeseries.variance (series)
timeseries.matches (series, rule)
timeseries.f_x (series, function)

Dependencies

License

Apache-2.0

Credits

Henderson adapted from Mark Graph's Implementation

Metadata

Release files for va-timeseries 1.0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for va-timeseries 1.0.7
File	Size	Uploaded
va-timeseries-1.0.7.tar.gz	224.2 kB	Aug 20, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for va-timeseries 1.0.7
File	Interpreter	ABI	Platform	Reset
va_timeseries-1.0.7-py3-none-any.whl 16.2 kB Aug 20, 2020	Python 3	none	any	Details

Total release size: 240.3 kB

Release files / va-timeseries-1.0.7.tar.gz

Download URL	va-timeseries-1.0.7.tar.gz
Size	224.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`0df0f01d80b0eb4758f922c098a64dc1a11a86574dd22745fdb816981063ee01`
BLAKE2b-256 checksum How to use checksums	`978c2e5cbf446f0b5434bfacb974550e695a5b776107e4fbb17e1d591884c414`
Upload date	Aug 20, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3`

Release files / va_timeseries-1.0.7-py3-none-any.whl

Download URL	va_timeseries-1.0.7-py3-none-any.whl
Size	16.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cd980654803d2851f5fc2de49d4ba261f8c5a1bfc9c1a7969cbd583513ca8598`
BLAKE2b-256 checksum How to use checksums	`2f9e8263d066442a70a8fa4bf70849af15000751f7d38f059ab3ec1f53c8e213`
Upload date	Aug 20, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3`