jroettenbacher / larda Goto Github PK

pyLARDA for accessing and analysing ground based remote sensing data. It tries to simplify following tasks:

• finding netcdf files in a complex folder structure
• loading data from differently formatted netcdfs
• stitching data from consecutive files together
• simplify common plotting tasks

Documentation is available at larda-doc

requires python3.8

python3 -m venv larda-env
source larda-env/bin/activate

pip install setuptools -U
pip install cython numpy==1.21
pip install pyLARDA

Currently pyLARDA is only targeted on unix operating system.

numpy==1.21
scipy>=1.6
netCDF4>=1.4.2
msgpack
cython>=0.29.13
xarray
matplotlib>=3.0.2
requests>=2.21
toml>=0.10.0
tqdm>=4.36.1
numba>=0.45.1
# and for the documentation
sphinx
recommonmark
sphinx_rtd_theme

For development, local data sources and the backend, pyLARDA module can be installed with:

python3 -m venv larda-env
source larda-env/bin/activate
pip3 install -r requirements.txt

mkdir larda3
cd larda3
git clone https://github.com/lacros-tropos/larda.git

python3 setup.py install

Depending on your datasource of choice:

You just need to know the link to the backend backend of choice and may move to Quickstart.

For local data it is necessary to include the source in a certain directory structure. For the setup of the config files consult the Guide to config-files.

├── larda        # github managed source code
│   ├── docs
│   ├── examples
│   ├── ListCollector.py
│   ├── pyLARDA  # actual python module
│   ├── README.md
│   ├── requirements.txt
│   └── run_docs.sh
├── larda-cfg  # configuration files
│   ├── campaigns.toml
│   ├── [single campaign].toml
│   └── [single campaign].toml
├── larda-connectordump
│   └── [auto generated subfolder for each campaign]
├── larda-description
│   ├── [...].rst
└── larda-doc           # folder if you want to generate the docs
    └── ... 

Make sure that the module is available at your pythonpath when in doubt use sys.path.append('dir').

import pyLARDA

link_to_backend = 'http://...' 
# or use pyLARDA.LARDA('local')
larda = pyLARDA.LARDA('remote', uri=link_to_backend)
print('available campaigns', larda.campaign_list)
larda.connect('campaign_name')
MIRA_Zg = larda.read("MIRA","Zg", [dt_begin, dt_end], [0, 4000])
fig, ax = pyLARDA.Transformations.plot_timeheight2
    (MIRA_Zg, range_interval=[500, 3000], z_converter='lin2z')
fig.savefig('MIRA_Z.png', dpi=250)

For more examples refer to the scripts in the examples directory.

An online version of the documentation is available at https://lacros-tropos.github.io/larda-doc/. For building simply run .\run_docs.sh, when the additinal libraries (sphinx, recommonmark and sphinx_rtd_theme are available; see above).

This version of the LACROS research data analyser (LARDA) is based on two prior versions in C and python2 respectively. Major changes are the migration to python3, netcdf4 and the inclusion of radar Doppler spectra.

Copyright 2022, pyLARDA-dev-team (Johannes Bühl, Martin Radenz, Willi Schimmel, Teresa Vogl, Moritz Lochmann, Johannes Röttenbacher)

MIT License For details see the LICENSE file.