https://github.com/i4ds/irisreader
IRISreader is a Python library that allows for efficient browsing through IRIS satellite data in order to simplify machine learning applications
https://github.com/i4ds/irisreader
Last synced: about 1 year ago
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IRISreader is a Python library that allows for efficient browsing through IRIS satellite data in order to simplify machine learning applications
- Host: GitHub
- URL: https://github.com/i4ds/irisreader
- Owner: i4Ds
- License: mit
- Created: 2018-06-14T07:04:58.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2022-05-19T07:41:40.000Z (about 4 years ago)
- Last Synced: 2025-04-12T05:17:40.555Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 68.8 MB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 
IRISreader #
The __IRISreader__ library provides functionality to read IRIS level 2 data
by the [IRIS satellite](https://www.nasa.gov/mission_pages/iris/index.html) and to process it for big data applications.
IRISreader works best with a Jupyter notebook.
If you came here to look for something that provides a good python
replacement for IDL code and is well-integrated into SunPy, have a look at
[IRISpy](https://github.com/sunpy/irispy).
__Warning__:
Due to the end of project funding, IRISreader is no longer maintained. If you are interested in maintaining it, let me know!
## Installation ##
To install the latest stable release from pypi, run
pip install irisreader
To install the current development version, clone the repository
git clone https://github.com/i4Ds/IRISreader.git
and run
sudo python3 setup.py install
to install the library.
To test it go to the Python console, cd to the IRISreader directory and run:
from irisreader.data import sample_sji
sji_data = sample_sji()
sji_data.plot(0)
## Documentation ##
The documentation is available [here](https://i4ds.github.io/IRISreader/).
## Contact ##
For questions, suggestions and feedback please contact me via
[email](mailto:cedric.huwyler@fhnw.ch).