Metadata-Version: 2.1
Name: aika-time
Version: 1.0.0
Summary: Methods for dealing with timestamps, timeranges, and timeseries
Home-page: https://github.com/phil20686/aika/
Author: Philip Stephens, Dominic Kennedy
Author-email: philip.stephens@sjc.oxon.org
License: GNU LGPLv3
Project-URL: Source, https://github.com/phil20686/aika/
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Win32 (MS Windows)
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
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
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: doc/LICENSE.rst
Requires-Dist: pandas (>=1.1.5)
Requires-Dist: numpy
Requires-Dist: aika-utilities
Requires-Dist: attrs
Provides-Extra: all
Requires-Dist: pytest ; extra == 'all'
Requires-Dist: pytest-cov ; extra == 'all'
Requires-Dist: packaging ; extra == 'all'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: packaging ; extra == 'test'

# Introduction
aika time is part of the aika project for working with time series data, you can find more details
on the [project webpage](https://github.com/phil20686/aika/): 

# aika-time

Utility methods for working with timestamps and time series in the context of pandas. Principal components are:

1. Time stamp class that enforces olsen timestamps, i.e. all timestamps must have a time zone.
2. TimeOfDay class that represents a time of day in a given timezone, and given a 
set of dates produce the correct timestamp.
3. TimeRange class that represents a timerange.
4. causal.py - utilities for aligning one series on another in a causally correct way.

# Install
```python -m pip install aika-time```


