Skip to main content

Python Toolbox for the evaluation of soil moisture observations

Project description

https://travis-ci.org/TUW-GEO/pytesmo.svg?branch=master https://coveralls.io/repos/TUW-GEO/pytesmo/badge.png?branch=master https://badge.fury.io/py/pytesmo.svg https://readthedocs.org/projects/pytesmo/badge/?version=latest

pytesmo, the Python Toolbox for the Evaluation of Soil Moisture Observations, is a package/python toolbox which aims it is to provide a library that can be used for the comparison and validation of geospatial time series datasets with a (initial) focus on soil moisture.

Citation

https://zenodo.org/badge/DOI/10.5281/zenodo.596422.svg

If you use the software in a publication then please cite it using the Zenodo DOI. Be aware that this badge links to the latest package version.

Please select your specific version at https://doi.org/10.5281/zenodo.596422 to get the DOI of that version. You should normally always use the DOI for the specific version of your record in citations. This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning

Installation

This package should be installable through pip:

pip install pytesmo

Supported Products

Soil moisture is observed using different methods and instruments, in this version several satellite datasets as well as in situ data are supported:

  • ASCAT

  • H-SAF image products

  • SMAP

  • GLDAS Noah

  • ERA Interim

  • ERS

  • Data from the International Soil Moisture Network (ISMN)

For more details visit the Documentation.

Contribute

We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.

Development setup

For Development we recommend a conda environment.

Guidelines

If you want to contribute please follow these steps:

  • Fork the pytesmo repository to your account

  • Clone the repository, make sure you use git clone --recursive to also get the test data repository.

  • make a new feature branch from the pytesmo master branch

  • Add your feature

  • please include tests for your contributions in one of the test directories We use py.test so a simple function called test_my_feature is enough

  • submit a pull request to our master branch

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

pytesmo-0.7.0.tar.gz (2.0 MB view details)

Uploaded Source

Built Distributions

pytesmo-0.7.0-cp37-cp37m-win_amd64.whl (158.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

pytesmo-0.7.0-cp37-cp37m-win32.whl (156.0 kB view details)

Uploaded CPython 3.7m Windows x86

pytesmo-0.7.0-cp36-cp36m-win_amd64.whl (158.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

pytesmo-0.7.0-cp27-cp27m-win_amd64.whl (160.7 kB view details)

Uploaded CPython 2.7m Windows x86-64

File details

Details for the file pytesmo-0.7.0.tar.gz.

File metadata

  • Download URL: pytesmo-0.7.0.tar.gz
  • Upload date:
  • Size: 2.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for pytesmo-0.7.0.tar.gz
Algorithm Hash digest
SHA256 5f62cb25fc9ceba1bb56c33741e1341d4c02ba271fe4503af6a7cabdda6af237
MD5 27e41f7dbe007576f9007927b40bd46f
BLAKE2b-256 2f490a0696df27cc369b5cb481eab38b1cfb0f8302c58b2178823623e41872bd

See more details on using hashes here.

File details

Details for the file pytesmo-0.7.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pytesmo-0.7.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 158.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for pytesmo-0.7.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 aaee06560fa98bc466e1812d1a36bc438ad06d0b805e9e1f8d6b127c3f374599
MD5 b6525ce5dad2653f532622c8b870f7c4
BLAKE2b-256 a2787134e4a727b2be8d74f626b46e555ca1c2a53dd80b70ba7880d5b42a3679

See more details on using hashes here.

File details

Details for the file pytesmo-0.7.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pytesmo-0.7.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 156.0 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for pytesmo-0.7.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 c622a27c30c18994717fd2da3d89392d8138827374570d9a27918f652b42d40d
MD5 5a676388f3424f2fdd88ba1c24430720
BLAKE2b-256 3c4405491bafeba19582be148499718389277a579e4054fb57855dcc30d533b5

See more details on using hashes here.

File details

Details for the file pytesmo-0.7.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pytesmo-0.7.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 158.6 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for pytesmo-0.7.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6e4e9b4f45e86d4b2dba3e3cd8da23960f1b719b76ef294702f885ae0a432672
MD5 247947debc90e80bcb363a496a27138d
BLAKE2b-256 27150d15b5396dab9b0a814cb5cd1fd48f960a31c58539ff99d1a04dc2a4732d

See more details on using hashes here.

File details

Details for the file pytesmo-0.7.0-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: pytesmo-0.7.0-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 160.7 kB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.1

File hashes

Hashes for pytesmo-0.7.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 2077421b889413d3904a7519470fc27319b641eec0cb38f6ce5b1d7ed716a4db
MD5 8337574a42f308bad2bc454973163671
BLAKE2b-256 635b49065342e3a4f91b0895ba8426efd0605f20e0de2d6fc7ff836d36125838

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