rolling

Name	rolling JSON
Version	0.5.0 JSON
	download
home_page
Summary	Efficient rolling window algorithms
upload_time	2023-09-16 20:30:15
maintainer
docs_url	None
author	Alex Riley
requires_python	>=3.7.0
license	MIT
keywords	rolling window iterator algorithms
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            **rolling** is a collection of computationally efficient
rolling window iterators for Python.

Many useful arithmetical, logical and statistical functions are implemented
to allow the window to be computed in sub-linear time (and in many instances
constant time). These include:

- Sum
- Min and Max
- All and Any
- Mean, Median and Mode
- Variance and Standard deviation

There's also a more general 'apply' mode where any specific function can be
applied to the window. Both fixed-length and variable-length windows are supported.

            

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