Metadata-Version: 1.2
Name: rolling
Version: 0.3.0
Summary: Efficient rolling window algorithms
Home-page: UNKNOWN
Author: Alex Riley
License: MIT
Project-URL: Source, https://github.com/ajcr/rolling/
Project-URL: Tracker, https://github.com/ajcr/rolling/issues
Description: **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.
        
Keywords: rolling window iterator algorithms
Platform: UNKNOWN
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6.0
