pastas / Pastas
Programming Languages
Projects that are alternatives of or similar to Pastas
PASTAS: HYDROLOGICAL TIME SERIES ANALYSIS
.. image:: /doc/_static/logo_small.png :width: 200px :align: left
.. image:: https://travis-ci.com/pastas/pastas.svg?branch=master
:target: https://travis-ci.com/pastas/pastas
.. image:: https://img.shields.io/pypi/v/pastas.svg
:target: https://pypi.python.org/pypi/pastas
.. image:: https://img.shields.io/pypi/l/pastas.svg
:target: https://mit-license.org/
.. image:: https://img.shields.io/pypi/pyversions/pastas
:target: https://pypi.python.org/pypi/pastas
.. image:: https://api.codacy.com/project/badge/Grade/952f41c453854064ba0ee1fa0a0b4434
:target: https://www.codacy.com/gh/pastas/pastas
.. image:: https://api.codacy.com/project/badge/Coverage/952f41c453854064ba0ee1fa0a0b4434
:target: https://www.codacy.com/gh/pastas/pastas
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1465866.svg
:target: https://doi.org/10.5281/zenodo.1465866
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/pastas/pastas/master?filepath=examples%2Fnotebooks%2F1_basic_model.ipynb
.. image:: https://readthedocs.org/projects/pastas/badge/?version=latest
:target: https://pastas.readthedocs.io/en/latest/?badge=latest
Pastas: what is it?
Pastas is an open source python package for processing, simulating and analyzing
hydrological time series (models). The object oriented structure allows for
the quick implementation of new model components. Time series models can be
created, calibrated, and analysed with just a few lines of python code with
the built-in optimization, visualisation, and statistical analysis tools.
Documentation & Examples
- Documentation is provided on a dedicated website: http://pastas.readthedocs.io/
- Examples can be found on the
examples directory on the documentation website <https://pastas.readthedocs.io/en/dev/examples/index.html>
_. - View and edit a working example notebook of a Pastas model in
MyBinder <https://mybinder.org/v2/gh/pastas/pastas/master?filepath=examples%2Fnotebooks%2F1_basic_model.ipynb>
_ - A list of Publications that used Pastas is available in a
dedicated GitHub repo <https://github.com/pastas/pastas_research>
_
Get in Touch
- Questions on Pastas can be asked and answered on `Github Discussions <https://github.com/pastas/pastas/discussions>`_.
- Bugs, feature requests and other improvements can be posted as `Github Issues <https://github.com/pastas/pastas/issues>`_.
- Pull requests will only be accepted on the development branch (dev) of
this repository. Please take a look at the `developers section
<http://pastas.readthedocs.io/>`_ on the documentation website for more
information on how to contribute to Pastas.
Quick installation guide
To install Pastas, a working version of Python 3.6, 3.7 or 3.8 has to be
installed on your computer. We recommend using the Anaconda Distribution <https://www.continuum.io/downloads>
_ with Python 3.7 as it includes most
of the python package dependencies and the Jupyter Notebook software to run
the notebooks. However, you are free to install any Python distribution you
want.
Stable version
To get the latest stable version, use::
pip install pastas
Update
To update pastas, use::
pip install pastas --upgrade
Developers
To get the latest development version, use::
pip install https://github.com/pastas/pastas/zipball/dev
Dependencies
Pastas depends on a number of Python packages, of which all of the necessary are
automatically installed when using the pip install manager. To summarize, the
following packages are necessary for a minimal function installation of Pastas:
- numpy>=1.15
- matplotlib>=2.0
- pandas>=1.0
- scipy>=1.1
How to Cite Pastas?
If you use Pastas in one of your studies, please cite the Pastas article in Groundwater:
- Collenteur, R.A., Bakker, M., CaljΓ©, R., Klop, S.A., Schaars, F. (2019)
Pastas: open source software for the analysis of groundwater time series <https://ngwa.onlinelibrary.wiley.com/doi/abs/10.1111/gwat.12925>
_. Groundwater. doi: 10.1111/gwat.12925.
To cite a specific version of Python, you can use the DOI provided for each official release (>0.9.7) through Zenodo. Click on the link to get a specific version and DOI, depending on the Pastas version.
- Collenteur, R., Bakker, M., CaljΓ©, R. & Schaars, F. (XXXX). Pastas: open-source software for time series analysis in hydrology (Version X.X.X). Zenodo. http://doi.org/10.5281/zenodo.1465866