Python Toolbox for the evaluation of soil moisture observations
Project description
pytesmo is a package 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.
Documentation
Please see the latest documentation including examples of how to install and use pytesmo at http://pytesmo.readthedocs.io/ .
Citation
If you use the software please cite it. Until our paper is finished please use the Zenodo DOI below:
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.
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
hack away
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for pytesmo-0.6.8-cp36-cp36m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16f168659b188ad9030d6cbcc448a6aee98cd48b3f1e9b1144235381bd0054eb |
|
MD5 | de54ba57af89a2e91e849d9ef9b67ee0 |
|
BLAKE2b-256 | 62fda8548bf9e75e44cd39eb52d010ebfd4de140582212a2540dda0ccfe14626 |
Hashes for pytesmo-0.6.8-cp36-cp36m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 77202f026d462497db0f13081fee952ed08d35f87fb739445e487e8ac9de1850 |
|
MD5 | 6ad403ce2272657a49d4be8b90b6a286 |
|
BLAKE2b-256 | 394ca53952cea79d12f413df7d5661bfc9056ba9c7773c4de7bdfcd464e424aa |
Hashes for pytesmo-0.6.8-cp35-cp35m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2b31c186370a3ea32e245f87011c48c740679cf0a8f5704e061475d20bc9b13 |
|
MD5 | 4a7b5f38cbcf96aa9b63721d04729c0d |
|
BLAKE2b-256 | 4a642ebb8076ca6bec6b2d5283b61d241204fb0d39b54ac7a4bc6a005ed41500 |
Hashes for pytesmo-0.6.8-cp35-cp35m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6320c81281ee5edbafec7368333fefa35507cc99aa161b40e0674444349351b |
|
MD5 | 08c389d3baf3861b1d7243d9bbc06da5 |
|
BLAKE2b-256 | 7e8ee8bae271f4aa9eca0f7204d9c9c4116486e5abb1422aadfc89a3c56a639c |
Hashes for pytesmo-0.6.8-cp34-cp34m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86c0b17dd7db38c5ae9db2a6a4f715956b93c8234a3390bc905e063eac89fb49 |
|
MD5 | aa58ad524f1262e5a991da2f949051c3 |
|
BLAKE2b-256 | 363319a1d50ccaa91b488bacc451e80c270f5960f4d1ed08d510b077c3659b90 |
Hashes for pytesmo-0.6.8-cp34-cp34m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30f747a58d7b4d5826bc02ed8cea4f45ef6f1dd80b1ffa8ec156497c5fed8706 |
|
MD5 | fd38e55d10c7c8afdd7b3ad22cead515 |
|
BLAKE2b-256 | a0296ae2664fda64af2ad889436edabe69dda9f43f876787eaafd9b49da1d04a |
Hashes for pytesmo-0.6.8-cp27-cp27m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15cf7af806a765508a1f490d403b7a37616785a40cc51569a291a1c89ff55362 |
|
MD5 | 62fa8d4789429f46ec70fccbc722a680 |
|
BLAKE2b-256 | db031b47ad398e8946496ec8ee6fc32a87b5e8e71af20a65b74d4c8f24955672 |
Hashes for pytesmo-0.6.8-cp27-cp27m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43c74464f2ac442006cbe35f228eb7ccef995c048d6ea4a99d8e33ac8f786a82 |
|
MD5 | 95b581ed5483863aefd9f41b234bf23e |
|
BLAKE2b-256 | b3dffdff308c866f284f1e634a383f4fbd6a638a06fddd94eb32b84c6efc2b44 |