Quickstart¶
Installation¶
pyDARTLAB can be installed through pip. We recommend installing pyDARTLAB in a virtual environment:
python3 -m venv dartlab
source dartlab/bin/activate
pip install -e ".[tutorial]"
Running the tutorial¶
jupyter lab notebooks/
Start with 00_getting_started.ipynb. Each notebook launches the
interactive tools inline; make sure the first cell runs
%matplotlib widget.
Using the package directly¶
All the algorithms are plain functions:
import numpy as np
import pydartlab as dl
ens = np.array([-1.2, 0.3, 1.9, 0.6, -0.8])
increments = dl.obs_increment_eakf(ens, observation=0.5, obs_error_var=1.0)
posterior = ens + increments
and the cycling experiments are scriptable:
from pydartlab.experiments import Lorenz96Experiment
exp = Lorenz96Experiment(filter_type="EAKF", localization=0.2, seed=1)
for _ in range(100):
exp.step()
print(exp.history["post_error"][-1])