XOPPY: XOP (X-ray oriented programs) in Python
Project description
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\ \/ /\_____ \\______ \______ \__ | |
\ / / | \| ___/| ___// | |
/ \ / | \ | | | \____ |
/___/\ \\_______ /____| |____| / ______|
\_/ \/ \/
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This is the WORKING project for XOPPY (XOP under python3+orange3)
For XOP see: http://ftp.esrf.eu/pub/scisoft/xop2.3/
http://www.esrf.fr/Instrumentation/software/data-analysis/xop2.3
For orange3 see: https://github.com/biolab/orange3
Installation instructions (tentative, under development)
1) Recommended (not mandatory) to use the following folder structure:
$HOME/Oasys
$HOME/Oasys/OASYS1 orange3 fork, get from:
git clone http://github.com/lucarebuffi/OASYS1
$HOME/Oasys/Orange-XOPPY XOPPY package , get from:
git clone http://github.com/srio/Orange-XOPPY
$HOME/Oasys/OrangeRun create this directory to put the running time files
Set the working directory to this folder.
2) install packages that orange3 needs. See them in:
https://github.com/biolab/orange3/wiki
Notes:
- I prefer not using the virtual environment when working in my station
- always use python3 and pip3 (instead of python and pip)
- do not install orange3. See next point.
3) install OASYS1 (a fork of orange3) from:
- https://github.com/lucarebuffi/OASYS1
Once installed (python3 setup.py build ; sudo python3 setup.py install)
you should be able to open python3 and "import Orange" without errors.
From my experience, I needed to install manually bottlechest
(https://github.com/biolab/bottlechest) and sklean
(pip3 install -U numpy scipy scikit-learn)
4) install XOPPY as:
method 1 (developer):
cd $HOME/Oasys/Orange-XOPPY
sudo python3 setup.py develop
method 2 (user):
From the Oasys (Orange) window, got to "Options", "Add-ons" and
check XOPPY. Quit Oasys.
5) start XOPPY as:
python3 -m Orange.canvas
at this point you should see in the menu panel (on your left) the XOPPY
menus.
Notes
-installing orange3 in ubuntu 14.04 gave a problem when installing the scikit-learn package. It can be installed from sources using:
pip install git+https://github.com/scikit-learn/scikit-learn.git
srio@esrf.eu 20140423 (Cervantes death anniversary)
srio@esrf.eu 20140521 changes after visit to Ljubljana
srio@esrf.eu 20141022 changes after Luca's visit. Oasys introduced.
srio@esrf.eu 20150513 New applications in xoppy
================================================
____ ___________ _________________________.___.
\ \/ /\_____ \\______ \______ \__ | |
\ / / | \| ___/| ___// | |
/ \ / | \ | | | \____ |
/___/\ \\_______ /____| |____| / ______|
\_/ \/ \/
================================================
================================================
This is the WORKING project for XOPPY (XOP under python3+orange3)
For XOP see: http://ftp.esrf.eu/pub/scisoft/xop2.3/
http://www.esrf.fr/Instrumentation/software/data-analysis/xop2.3
For orange3 see: https://github.com/biolab/orange3
Installation instructions (tentative, under development)
1) Recommended (not mandatory) to use the following folder structure:
$HOME/Oasys
$HOME/Oasys/OASYS1 orange3 fork, get from:
git clone http://github.com/lucarebuffi/OASYS1
$HOME/Oasys/Orange-XOPPY XOPPY package , get from:
git clone http://github.com/srio/Orange-XOPPY
$HOME/Oasys/OrangeRun create this directory to put the running time files
Set the working directory to this folder.
2) install packages that orange3 needs. See them in:
https://github.com/biolab/orange3/wiki
Notes:
- I prefer not using the virtual environment when working in my station
- always use python3 and pip3 (instead of python and pip)
- do not install orange3. See next point.
3) install OASYS1 (a fork of orange3) from:
- https://github.com/lucarebuffi/OASYS1
Once installed (python3 setup.py build ; sudo python3 setup.py install)
you should be able to open python3 and "import Orange" without errors.
From my experience, I needed to install manually bottlechest
(https://github.com/biolab/bottlechest) and sklean
(pip3 install -U numpy scipy scikit-learn)
4) install XOPPY as:
method 1 (developer):
cd $HOME/Oasys/Orange-XOPPY
sudo python3 setup.py develop
method 2 (user):
From the Oasys (Orange) window, got to "Options", "Add-ons" and
check XOPPY. Quit Oasys.
5) start XOPPY as:
python3 -m Orange.canvas
at this point you should see in the menu panel (on your left) the XOPPY
menus.
Notes
-installing orange3 in ubuntu 14.04 gave a problem when installing the scikit-learn package. It can be installed from sources using:
pip install git+https://github.com/scikit-learn/scikit-learn.git
srio@esrf.eu 20140423 (Cervantes death anniversary)
srio@esrf.eu 20140521 changes after visit to Ljubljana
srio@esrf.eu 20141022 changes after Luca's visit. Oasys introduced.
srio@esrf.eu 20150513 New applications in xoppy
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