Skip to main content

Python Applied System TimeSeries Analysis Software

Project description

PASTAS: HYDROLOGICAL TIME SERIES ANALYSIS
=========================================

.. image:: /doc/_static/logo_small.png
:width: 200px
:align: left

.. image:: https://travis-ci.org/pastas/pastas.svg?branch=master
:target: https://travis-ci.org/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/github/release/pastas/pastas.svg
:target: https://github.com/pastas/pastas/releases
.. image:: https://api.codacy.com/project/badge/Grade/0e0fad469a3c42a4a5c5d1c5fddd6bee
:target: https://app.codacy.com/app/raoulcollenteur/pastas?utm_source=github.com&utm_medium=referral&utm_content=pastas/pastas&utm_campaign=Badge_Grade_Dashboard
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1465866.svg
:target: https://doi.org/10.5281/zenodo.1465866

Pastas: what is it?
~~~~~~~~~~~~~~~~~~~
Pastas is an open source python package for processing, simulating and analyzing
hydrological time series (models). The object oriented stucture 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 <http://pastas.readthedocs.io/en/dev/examples.html>`_.

Get in Touch
~~~~~~~~~~~~
- Questions on Pastas can be asked and answered on `StackOverFlow <https://stackoverflow.com/questions/tagged/pastas>`_.
- Bugs, feature requests and other improvements can be posten as the `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 develop Pastas.

Quick installation guide
~~~~~~~~~~~~~~~~~~~~~~~~
To install Pastas, a working version of Python 3.4, 3.5 or 3.6 has to be installed on
your computer. We recommend using the `Anaconda Distribution <https://www.continuum.io/downloads>`_
with Python 3.6 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

or directly from Github::

pip install https://github.com/pastas/pastas/zipball/master

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 pacakges are necessary for a minimal function installation of Pastas:

- numpy>=1.10
- matplotlib>=2.0
- pandas>=0.23
- scipy>=1.0

Background
~~~~~~~~~~
Work on Pastas started in the spring of 2016 at the Delft University of Technology and `Artesia Water <http://www.artesia-water.nl/>`_.

How to Cite Pastas?
~~~~~~~~~~~~~~~~~~~
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., Caljé, 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

License (MIT License)
~~~~~~~
Copyright (c) 2016-2018 R.A. Collenteur, M. Bakker, R. Calje, F. Schaars

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pastas-0.9.8.tar.gz (73.9 kB view details)

Uploaded Source

Built Distribution

pastas-0.9.8-py2.py3-none-any.whl (86.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pastas-0.9.8.tar.gz.

File metadata

  • Download URL: pastas-0.9.8.tar.gz
  • Upload date:
  • Size: 73.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.0

File hashes

Hashes for pastas-0.9.8.tar.gz
Algorithm Hash digest
SHA256 f7a04ece1b5a4675bf4d8337a44bd04363fa27cf43d4fdd4a9e34e90a57a94da
MD5 24d301d795eae46a47aedc396174f4fe
BLAKE2b-256 ebd8ee0eae6fe53c77a342b6bbdce63ddee804fbf16b5160b211bb4720bd6952

See more details on using hashes here.

File details

Details for the file pastas-0.9.8-py2.py3-none-any.whl.

File metadata

  • Download URL: pastas-0.9.8-py2.py3-none-any.whl
  • Upload date:
  • Size: 86.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.0

File hashes

Hashes for pastas-0.9.8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e51d28cc0108e2d37df3d842621f8b206e9d1a6e6ace7dcf46960a39875e999c
MD5 47e53b873940edcd2e88229fcb19313d
BLAKE2b-256 68cf889deca760575ec8a6e6c473b179514be4a95b2992699ffbf98d4f9a0b2d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page