Metadata-Version: 2.4
Name: ear-analytics-core
Version: 6.1.1
Summary: Core library for EAR analytics and Energy Models.
Author-email: Oriol Vidal <oriol.vidal@eas4dc.com>, Jalal Lakhlili <jalal.lakhlili@eas4dc.com>
License-Expression: EPL-2.0
Keywords: data,hpc,analysis,ear
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas[output-formatting,plot]
Requires-Dist: importlib_resources
Requires-Dist: rich
Requires-Dist: pylatex
Requires-Dist: returns
Provides-Extra: docs
Requires-Dist: sphinx; extra == "docs"
Provides-Extra: tests
Requires-Dist: pytest; extra == "tests"
Dynamic: license-file

# ear_analytics_core
Core library for EAR data analytics.

## Installation

Since version 5.0.0, `ear_analytics_core` was uploaded to PyPI and can be installed via pip:
```bash
pip install ear_analytics_core
```

Alternatively, you can install it from source by cloning the repository and running:

```bash
pip install -U pip
pip install build setuptools wheel
python -m build
pip install .
```

> You can change the destination path by exporting the variable [`PYTHONUSERBASE`](https://docs.python.org/3/using/cmdline.html#envvar-PYTHONUSERBASE).
> Tool's developers may want to use `pip install -e .` to install the package in editable mode, so there is no need to reinstall every time you want to test a new feature.
