Skip to main content
================================================
================================================
____ ___________ _________________________.___.
\ \/ /\_____ \\______ \______ \__ | |
\ / / | \| ___/| ___// | |
/ \ / | \ | | | \____ |
/___/\ \\_______ /____| |____| / ______|
\_/ \/ \/
================================================
================================================

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

Metadata

Release files for XOPPY 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for XOPPY 1.0.0
File Size Uploaded
XOPPY-1.0.0.tar.gz 14.2 MB Details

Release files / XOPPY-1.0.0.tar.gz

Download URL XOPPY-1.0.0.tar.gz
Size 14.2 MB
Tags Source
SHA-256 checksum
How to use checksums
ec24d8002542c86757345367394bf3ef32b61fb64255099629803ed416b374b1
BLAKE2b-256 checksum
How to use checksums
bbddc0ce78dbaf4f5e90a7669e72acf6a2736a9077be0acbc579f5305a647d39
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

This release

1.0.0 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page