Skip to main content

tools to process the lofar solar data

Project description

Step by step intall guide

Install lofar-sun-tool from scratch.

Install conda

(see anaconda.org)

Create virtual enviroment

We recommend creating a standalone python enviroment for a more isolated and stable runtime.

conda create -n lofarsun python=3.8

Then activate the enviroment:

conda activate lofarsun

Install dependencies

conda install -c conda-forge sunpy==2.0.6 matplotlib jupyterlab opencv scikit scikit-image hdf5 opencv

note : pip higher priority than conda

Install lofarSun

From pip

python -m pip install lofarsun

From git

git clone https://git.astron.nl/ssw-ksp/lofar-sun-tools.git
cd lofar-sun-tools/pro/src
python setup.py install

Enjoy

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lofarSun-0.2.3.tar.gz (7.9 kB view details)

Uploaded Source

File details

Details for the file lofarSun-0.2.3.tar.gz.

File metadata

  • Download URL: lofarSun-0.2.3.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

File hashes

Hashes for lofarSun-0.2.3.tar.gz
Algorithm Hash digest
SHA256 2b533393556fec34b374f043b242462527064477c8e7483ed66b1facdd8bff14
MD5 98e3fd0b9a77b47a57d3197fa9ac01d6
BLAKE2b-256 9cf568a187328a05209a5e9da2813c0c796baf080977e252766dc7d6f08c43d6

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page