| Name | pastas JSON |
| Version |
1.7.0
JSON |
| download |
| home_page | None |
| Summary | Pastas is an open-source Python framework for the analysis of groundwater time series. |
| upload_time | 2024-09-06 14:16:42 |
| maintainer | None |
| docs_url | None |
| author | Collenteur et al. 2019 |
| requires_python | >=3.9 |
| license | The MIT License (MIT) Copyright (c) 2016-2024 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. |
| keywords |
hydrology
groundwater
timeseries
analysis
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Pastas: Analysis of Groundwater Time Series
> [!IMPORTANT]
> As of Pastas 1.5, noisemodels are not added to the Pastas models by default anymore. [Read more about this change here](https://github.com/pastas/pastas/issues/735).
[](https://pypi.python.org/pypi/pastas)
[](https://mit-license.org/)
[](https://pypi.python.org/pypi/pastas)
[](https://pypi.org/project/pastas/)
[](https://doi.org/10.5281/zenodo.1465866)
[](https://app.codacy.com/gh/pastas/pastas/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)
[](https://app.codacy.com/gh/pastas/pastas/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage9)
[](https://pastas.readthedocs.io/en/latest/?badge=latest)
[<img src="https://github.com/codespaces/badge.svg" height="20">](https://codespaces.new/pastas/pastas?quickstart=1)
[](https://github.com/pastas/pastas/actions/workflows/test_unit_pytest.yml)
[](https://github.com/pastas/pastas/actions/workflows/test_format_lint.yml)
## Pastas: what is it?
Pastas is an open source python package for processing, simulating and
analyzing groundwater time series. 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 the dedicated website
[pastas.dev](http://www.pastas.dev/)
- Examples can be found on the [examples directory on the
documentation
website](https://pastas.readthedocs.io/en/dev/examples/index.html)
- A list of publications that use Pastas is available in a
[dedicated Zotero group](https://www.zotero.org/groups/4846685/pastas/items/32FS5PTW/item-list)
- View and edit the example notebooks of Pastas in
[GitHub Codespaces](https://codespaces.new/pastas/pastas?quickstart=1))
## 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 3.9, 3.10, 3.11, or 3.12
has to be installed on your computer. We recommend using the [Anaconda
Distribution](https://www.continuum.io/downloads) 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 git+https://github.com/pastas/pastas.git@dev#egg=pastas
## Related packages
- [Pastastore](https://github.com/pastas/pastastore) is a Python
package for managing multiple timeseries and pastas models
- [Metran](https://github.com/pastas/metran) is a Python package to
perform multivariate timeseries analysis using a technique called
dynamic factor modelling.
- [Hydropandas](https://github.com/ArtesiaWater/hydropandas/blob/master/examples/03_hydropandas_and_pastas.ipynb)
can be used to obtain Dutch timeseries (KNMI, Dinoloket, ..)
- [PyEt](https://github.com/phydrus/pyet) can be used to compute
potential evaporation from meteorological variables.
## 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 dependencies necessary for a minimal function
installation of Pastas
- numpy\>=1.7
- matplotlib\>=3.1
- pandas\>=1.1
- scipy\>=1.8
- numba\>=0.51
To install the most important optional dependencies (solver LmFit and
function visualisation Latexify) at the same time with Pastas use:
pip install pastas[full]
or for the development version use:
pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas[full]
## 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., Caljé, 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 Pastas, 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>
Raw data
{
"_id": null,
"home_page": null,
"name": "pastas",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "\"R.A. Collenteur\" <raoulcollenteur@gmail.com>, \"M. Bakker\" <markbak@gmail.com>, \"R. Calje\" <r.calje@artesia-water.nl>, \"F. Schaars\" <f.schaars@artesia-water.nl>, \"D.A. Brakenhoff\" <d.brakenhoff@artesia-water.nl>, \"O.N. Ebbens\" <o.ebbens@artesia-water.nl>, \"M.A. Vonk\" <vonk.mart@gmail.com>",
"keywords": "hydrology, groundwater, timeseries, analysis",
"author": "Collenteur et al. 2019",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/26/16/f902283843e657824aaa5b94cb37ca6342e30bcf06e30864fcb02c9f74a4/pastas-1.7.0.tar.gz",
"platform": null,
"description": "# Pastas: Analysis of Groundwater Time Series\n\n> [!IMPORTANT]\n> As of Pastas 1.5, noisemodels are not added to the Pastas models by default anymore. [Read more about this change here](https://github.com/pastas/pastas/issues/735).\n\n\n\n[](https://pypi.python.org/pypi/pastas)\n[](https://mit-license.org/)\n[](https://pypi.python.org/pypi/pastas)\n[](https://pypi.org/project/pastas/)\n[](https://doi.org/10.5281/zenodo.1465866)\n\n[](https://app.codacy.com/gh/pastas/pastas/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)\n[](https://app.codacy.com/gh/pastas/pastas/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage9)\n[](https://pastas.readthedocs.io/en/latest/?badge=latest)\n[<img src=\"https://github.com/codespaces/badge.svg\" height=\"20\">](https://codespaces.new/pastas/pastas?quickstart=1)\n[](https://github.com/pastas/pastas/actions/workflows/test_unit_pytest.yml)\n[](https://github.com/pastas/pastas/actions/workflows/test_format_lint.yml)\n\n## Pastas: what is it?\n\nPastas is an open source python package for processing, simulating and\nanalyzing groundwater time series. The object oriented structure allows\nfor the quick implementation of new model components. Time series models\ncan be created, calibrated, and analysed with just a few lines of python\ncode with the built-in optimization, visualisation, and statistical\nanalysis tools.\n\n## Documentation & Examples\n\n- Documentation is provided on the dedicated website\n [pastas.dev](http://www.pastas.dev/)\n- Examples can be found on the [examples directory on the\n documentation\n website](https://pastas.readthedocs.io/en/dev/examples/index.html)\n- A list of publications that use Pastas is available in a\n [dedicated Zotero group](https://www.zotero.org/groups/4846685/pastas/items/32FS5PTW/item-list)\n- View and edit the example notebooks of Pastas in\n [GitHub Codespaces](https://codespaces.new/pastas/pastas?quickstart=1))\n\n## Get in Touch\n\n- Questions on Pastas can be asked and answered on [Github\n Discussions](https://github.com/pastas/pastas/discussions).\n- Bugs, feature requests and other improvements can be posted as\n [Github Issues](https://github.com/pastas/pastas/issues).\n- Pull requests will only be accepted on the development branch (dev)\n of this repository. Please take a look at the [developers\n section](http://pastas.readthedocs.io/) on the documentation website\n for more information on how to contribute to Pastas.\n\n## Quick installation guide\n\nTo install Pastas, a working version of Python 3.9, 3.10, 3.11, or 3.12\nhas to be installed on your computer. We recommend using the [Anaconda\nDistribution](https://www.continuum.io/downloads) as it includes most of\nthe python package dependencies and the Jupyter Notebook software to run\nthe notebooks. However, you are free to install any Python distribution\nyou want.\n\n### Stable version\n\nTo get the latest stable version, use:\n\n pip install pastas\n\n### Update\n\nTo update pastas, use:\n\n pip install pastas --upgrade\n\n### Developers\n\nTo get the latest development version, use:\n\n pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas\n\n## Related packages\n\n- [Pastastore](https://github.com/pastas/pastastore) is a Python\n package for managing multiple timeseries and pastas models\n- [Metran](https://github.com/pastas/metran) is a Python package to\n perform multivariate timeseries analysis using a technique called\n dynamic factor modelling.\n- [Hydropandas](https://github.com/ArtesiaWater/hydropandas/blob/master/examples/03_hydropandas_and_pastas.ipynb)\n can be used to obtain Dutch timeseries (KNMI, Dinoloket, ..)\n- [PyEt](https://github.com/phydrus/pyet) can be used to compute\n potential evaporation from meteorological variables.\n\n## Dependencies\n\nPastas depends on a number of Python packages, of which all of the\nnecessary are automatically installed when using the pip install\nmanager. To summarize, the dependencies necessary for a minimal function\ninstallation of Pastas\n\n- numpy\\>=1.7\n- matplotlib\\>=3.1\n- pandas\\>=1.1\n- scipy\\>=1.8\n- numba\\>=0.51\n\nTo install the most important optional dependencies (solver LmFit and\nfunction visualisation Latexify) at the same time with Pastas use:\n\n pip install pastas[full]\n\nor for the development version use:\n\n pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas[full]\n\n## How to Cite Pastas?\n\nIf you use Pastas in one of your studies, please cite the Pastas article\nin Groundwater:\n\n- Collenteur, R.A., Bakker, M., Calj\u00e9, R., Klop, S.A., Schaars, F.\n (2019) [Pastas: open source software for the analysis of groundwater\n time\n series](https://ngwa.onlinelibrary.wiley.com/doi/abs/10.1111/gwat.12925).\n Groundwater. doi: 10.1111/gwat.12925.\n\nTo cite a specific version of Pastas, you can use the DOI provided for\neach official release (\\>0.9.7) through Zenodo. Click on the link to get\na specific version and DOI, depending on the Pastas version.\n\n- Collenteur, R., Bakker, M., Calj\u00e9, R. & Schaars, F. (XXXX). Pastas:\n open-source software for time series analysis in hydrology (Version\n X.X.X). Zenodo. <http://doi.org/10.5281/zenodo.1465866>\n",
"bugtrack_url": null,
"license": "The MIT License (MIT) Copyright (c) 2016-2024 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. ",
"summary": "Pastas is an open-source Python framework for the analysis of groundwater time series.",
"version": "1.7.0",
"project_urls": {
"documentation": "https://pastas.readthedocs.io",
"homepage": "https://pastas.dev",
"repository": "https://github.com/pastas/pastas"
},
"split_keywords": [
"hydrology",
" groundwater",
" timeseries",
" analysis"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "14ca7df32938f50b445f34bb4ae1ad48a1f80188d2ce0993a705acffc24dad89",
"md5": "a49f025419d0818fbca5f1ec69ad80d3",
"sha256": "61a698f2a57699a1bffd85845400c05e658692510ebd23453f89de995467df57"
},
"downloads": -1,
"filename": "pastas-1.7.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a49f025419d0818fbca5f1ec69ad80d3",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 157563,
"upload_time": "2024-09-06T14:16:41",
"upload_time_iso_8601": "2024-09-06T14:16:41.103321Z",
"url": "https://files.pythonhosted.org/packages/14/ca/7df32938f50b445f34bb4ae1ad48a1f80188d2ce0993a705acffc24dad89/pastas-1.7.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "2616f902283843e657824aaa5b94cb37ca6342e30bcf06e30864fcb02c9f74a4",
"md5": "519d25a802f3cf2aa69ad222abe06634",
"sha256": "faf3881c907dd0242edce19836b8185eb9408d99aeca68c0d032b576a58940d8"
},
"downloads": -1,
"filename": "pastas-1.7.0.tar.gz",
"has_sig": false,
"md5_digest": "519d25a802f3cf2aa69ad222abe06634",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 153932,
"upload_time": "2024-09-06T14:16:42",
"upload_time_iso_8601": "2024-09-06T14:16:42.344619Z",
"url": "https://files.pythonhosted.org/packages/26/16/f902283843e657824aaa5b94cb37ca6342e30bcf06e30864fcb02c9f74a4/pastas-1.7.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-06 14:16:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "pastas",
"github_project": "pastas",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "pastas"
}
