Metadata-Version: 2.1
Name: rolling
Version: 0.4.0
Summary: Efficient rolling window algorithms
Author: Alex Riley
License: MIT
Project-URL: Source, https://github.com/ajcr/rolling/
Project-URL: Tracker, https://github.com/ajcr/rolling/issues
Keywords: rolling window iterator algorithms
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.7.0
License-File: LICENSE

**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.
