Metadata-Version: 2.4
Name: datkit
Version: 0.1.1
Summary: A bunch of scripts
Author: Michael Clerx
Author-email: michael@myokit.org
License: BSD 3-clause license
Project-URL: Bug Tracker, https://github.com/myokit/datkit/issues
Project-URL: Documentation, http://datkit.readthedocs.io/
Project-URL: Source Code, https://github.com/myokit/datkit
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Provides-Extra: docs
Requires-Dist: sphinx>=1.7.4; extra == "docs"
Provides-Extra: dev
Requires-Dist: coverage; extra == "dev"
Requires-Dist: flake8>=3; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: license-file
Dynamic: project-url
Dynamic: provides-extra
Dynamic: requires-dist
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[![Unit tests](https://github.com/myokit/datkit/actions/workflows/unit-tests-ubuntu.yml/badge.svg)](https://github.com/myokit/datkit/actions/workflows/unit-tests-ubuntu.yml)
[![Documentation](https://readthedocs.org/projects/datkit/badge/?version=latest)](https://datkit.readthedocs.io/?badge=latest)

# Datkit

This module contains some simple methods that are useful when analysing time 
series data.

The code is tested on a recent version of Ubuntu & Python 3, but is so simple
that it should work everywhere else too.

## Installation

To install the latest release from PyPI, use

```
pip install datkit
```

## Installation for development

To install from the repo, use e.g.
```
python setup.py install -e .
```

Tests can then be run with
```
python -m unittest
```

And docs can be built with
```
cd docs
make clean html
```
