pylis

The pylis library contains helpful functions for pre- and postprocessing for the NASA Land Information System in Python (e.g., reading in data, visualization, CDF matching, ...).

How to use

Clone the repository from KUL-RSDA (or use your own fork if you want to make personal changes to the code):

cd your/path/to/scripts
git clone https://github.com/KUL-RSDA/pylis

When you are working on a Python script or notebook in which you want to use pylis functionalities, add these lines to the top:

# enable loading in the necessary scripts
# use here the parent directory where the pylis folder is located

import sys
sys.path.append("your/path/to/scripts")

You can then use pylis as if it is a library you have installed, e.g.,

from pylis import readers
from pylis import visualization as vis
from pylis.help import root_zone

dc_sm = readers.lis_cube(...)
vis.map_imshow(root_zone(dc_sm).mean(dim = "time"))

For use cases on how to use the different functionalities, you can consult the notebooks under the tutorials folder.

Requirements

Here an examply yml file for a conda environment that allows to work with pylis.

name: pylis-main channels:

• conda-forge
• defaults dependencies:
• python=3.12
• pandas
• numpy
• xarray
• netCDF4
• tqdm
• matplotlib
• cartopy
• statsmodels
• ipykernel
• ipywidgets
• pip
• pip:
  • ismn
  • pytesmo