{
"info": {
"author": "Christoph Paulik",
"author_email": "christoph.paulik@geo.tuwien.ac.at",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 4 - Beta",
"Programming Language :: Python"
],
"description": "=========\nrepurpose\n=========\n\n.. image:: https://travis-ci.org/TUW-GEO/repurpose.svg?branch=master\n :target: https://travis-ci.org/TUW-GEO/repurpose\n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/repurpose/badge.svg?branch=master\n :target: https://coveralls.io/github/TUW-GEO/repurpose?branch=master\n\n.. image:: https://badge.fury.io/py/repurpose.svg\n :target: http://badge.fury.io/py/repurpose\n\n.. image:: https://readthedocs.org/projects/repurpose/badge/?version=latest\n :target: http://repurpose.readthedocs.org/\n\n\nThis package provides routines for the conversion of image formats to time\nseries and vice versa. It is part of the `poets\u00b0 project\n`_ and works best with the readers and writers\nsupported there. The main use case is for data that is sampled irregularly in\nspace or time. If you have data that is sampled in regular intervals then there\nare alternatives to this package which might be better for your use case. See\n`Alternatives`_ for more detail.\n\nThe readers and writers have to conform to the API specifications of the base\nclasses defined in `pygeobase `_ to work\nwithout adpation.\n\nCitation\n========\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.593577.svg\n :target: https://doi.org/10.5281/zenodo.593577\n\nIf you use the software in a publication then please cite it using the Zenodo DOI.\nBe aware that this badge links to the latest package version.\n\nPlease select your specific version at https://doi.org/10.5281/zenodo.593577 to get the DOI of that version.\nYou should normally always use the DOI for the specific version of your record in citations.\nThis is to ensure that other researchers can access the exact research artefact you used for reproducibility.\n\nYou can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning\n\nInstallation\n============\n\nThis package should be installable through pip:\n\n.. code::\n\n pip install repurpose\n\nModules\n=======\n\nIt includes two main modules:\n\n- ``img2ts`` for image/swath to time series conversion, including support for\n spatial resampling.\n- ``ts2img`` for time series to image conversion, including support for temporal\n resampling. This module is very experimental at the moment.\n\nAlternatives\n============\n\nIf you have data that can be represented as a 3D datacube then these projects\nmight be better suited to your needs.\n\n- `PyReshaper `_ is a package that works\n with NetCDF input and output and converts time slices into a time series\n representation.\n- `Climate Data Operators (CDO)\n `_ can work with\n several input formats, stack them and change the chunking to allow time series\n optimized access. It assumes regular sampling in space and time as far as we\n know.\n- `netCDF Operators (NCO) `_ are similar\n to CDO with a stronger focus on netCDF.\n\nContribute\n==========\n\nWe are happy if you want to contribute. Please raise an issue explaining what\nis missing or if you find a bug. We will also gladly accept pull requests\nagainst our master branch for new features or bug fixes.\n\nDevelopment setup\n-----------------\n\nFor Development we recommend a ``conda`` environment\n\nGuidelines\n----------\n\nIf you want to contribute please follow these steps:\n\n- Fork the repurpose repository to your account\n- make a new feature branch from the repurpose master branch\n- Add your feature\n- Please include tests for your contributions in one of the test directories.\n We use py.test so a simple function called test_my_feature is enough\n- submit a pull request to our master branch\n\nNote\n====\n\nThis project has been set up using PyScaffold 2.4.4. For details and usage\ninformation on PyScaffold see http://pyscaffold.readthedocs.org/.",
"description_content_type": "",
"docs_url": null,
"download_url": "",
"downloads": {
"last_day": -1,
"last_month": -1,
"last_week": -1
},
"home_page": "https://github.com/TUW-GEO/repurpose",
"keywords": "",
"license": "new-bsd",
"maintainer": "",
"maintainer_email": "",
"name": "repurpose",
"package_url": "https://pypi.org/project/repurpose/",
"platform": "",
"project_url": "https://pypi.org/project/repurpose/",
"project_urls": {
"Homepage": "https://github.com/TUW-GEO/repurpose"
},
"release_url": "https://pypi.org/project/repurpose/0.6/",
"requires_dist": null,
"requires_python": "",
"summary": "Package for image to timeseries to image conversion",
"version": "0.6"
},
"last_serial": 5149753,
"releases": {
"0.2": [
{
"comment_text": "",
"digests": {
"md5": "95757e93103d7ccfd5dbe76f46ed65b1",
"sha256": "9505e83cc7cdc7b6b38677d228d3e32ae2de570c636286f91f62cfdd3e6e0a2a"
},
"downloads": -1,
"filename": "repurpose-0.2-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "95757e93103d7ccfd5dbe76f46ed65b1",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 1819014,
"upload_time": "2016-09-01T16:21:00",
"url": "https://files.pythonhosted.org/packages/2f/7e/096153c4dad6b7a337be8b00ff5da42d4aaa5125e4271bb89328817c872d/repurpose-0.2-py2.py3-none-any.whl"
},
{
"comment_text": "",
"digests": {
"md5": "6885366ffd79a0eca473b829606951b5",
"sha256": "3b1b0015400d2007f05a9f826e790a0882a63ea49262af2ff89ddb74d5871285"
},
"downloads": -1,
"filename": "repurpose-0.2.tar.gz",
"has_sig": false,
"md5_digest": "6885366ffd79a0eca473b829606951b5",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 25316,
"upload_time": "2016-09-01T16:21:04",
"url": "https://files.pythonhosted.org/packages/a7/a2/1cd738be4de228656912a0ed1ecfb183323c5feec04f3b72b6ba478e2912/repurpose-0.2.tar.gz"
}
],
"0.3": [
{
"comment_text": "",
"digests": {
"md5": "13d2d8f360d903d563e9da701a3b6860",
"sha256": "347b433f2ab713777673efe97fab66f08af2c7417f7d39824156f23db0df2a5a"
},
"downloads": -1,
"filename": "repurpose-0.3.tar.gz",
"has_sig": false,
"md5_digest": "13d2d8f360d903d563e9da701a3b6860",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 26122,
"upload_time": "2017-06-23T13:09:17",
"url": "https://files.pythonhosted.org/packages/94/9a/9aa7f2db6d5b9f92fc01778faec4f2e1521a4a63656e4dbd7606dd81a482/repurpose-0.3.tar.gz"
}
],
"0.4": [
{
"comment_text": "",
"digests": {
"md5": "a3020cde24678cce763a9da1c86c483c",
"sha256": "58cd3264fc07d6c67e7fba661c9b86674a491c82fb0fd7ed40ae7b1b68e43b7d"
},
"downloads": -1,
"filename": "repurpose-0.4.tar.gz",
"has_sig": false,
"md5_digest": "a3020cde24678cce763a9da1c86c483c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 26152,
"upload_time": "2017-06-30T09:04:52",
"url": "https://files.pythonhosted.org/packages/e1/cd/1f75cce13a06d8d5b28d698d3e05761eebd48342cd2745a151262e498ede/repurpose-0.4.tar.gz"
}
],
"0.6": [
{
"comment_text": "",
"digests": {
"md5": "804146c2fb2f302e3f664ad058365fbd",
"sha256": "6b6d0a2692526f7d14a84cb15867ff025b730ef4538fd33c03138dff6b13d28a"
},
"downloads": -1,
"filename": "repurpose-0.6.tar.gz",
"has_sig": false,
"md5_digest": "804146c2fb2f302e3f664ad058365fbd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 25857,
"upload_time": "2018-03-27T10:52:08",
"url": "https://files.pythonhosted.org/packages/c5/55/6512d9eab76b6b21a036f2dff83361acb967a47cb1ecf1ca2d497a9b2a86/repurpose-0.6.tar.gz"
}
]
},
"urls": [
{
"comment_text": "",
"digests": {
"md5": "804146c2fb2f302e3f664ad058365fbd",
"sha256": "6b6d0a2692526f7d14a84cb15867ff025b730ef4538fd33c03138dff6b13d28a"
},
"downloads": -1,
"filename": "repurpose-0.6.tar.gz",
"has_sig": false,
"md5_digest": "804146c2fb2f302e3f664ad058365fbd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 25857,
"upload_time": "2018-03-27T10:52:08",
"url": "https://files.pythonhosted.org/packages/c5/55/6512d9eab76b6b21a036f2dff83361acb967a47cb1ecf1ca2d497a9b2a86/repurpose-0.6.tar.gz"
}
]
}