Reading and reshuffling of C3S soil moisture Written in Python.
Setup of a complete environment with conda can be performed using the following commands:
git clone firstname.lastname@example.org:TUW-GEO/c3s_sm.git c3s_sm cd c3s_sm conda env create -f environment.yml source activate c3s_sm
We provide (general) tutorials on using the C3S Soil Moisture data:
These tutorials are designed to run on mybinder.org You can find the code for all examples in this repository.
At the moment this package supports C3S soil moisture data in netCDF format (reading and time series creation) with a spatial sampling of 0.25 degrees.
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.
For Development we also recommend a
conda environment. You can create one
including test dependencies and debugger by running
conda env create -f environment.yml. This will create a new
environment which you can activate by using
source activate c3s_sm.
If you want to contribute please follow these steps:
Fork the c3s_sm repository to your account
Clone the repository, make sure you use
git clone --recursiveto also get the test data repository.
make a new feature branch from the c3s_sm 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
This project has been set up using PyScaffold 2.5. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.