Python library for importing and compatibly formatting data from various sources used during my PhD.
Datasets should all have the same format so they can be easily used together.
In particular, they should be exported from the submodule:
- as a xarray Dataset or pandas Dataframe
- with 'lon' as the longitude variable name in °E (float)
- with 'lat' as the latitude variable name in °N (float)
- with 'time' for time variable name as datetimes. For datasets with monthly resolution, the date should be set to the begining of the month
- with 'tp' for the variable name for total precipitation in mm/day (float)
After cloning this repository and navigating to its install directory, the dependencies can be installed with anaconda: conda env create -f environment.yml This will create a new anaconda environment 'load'. After activating the environment: conda activate load.
Add your data and code directories to the __init__.py file.