Did you know that you can work with Jupyter notebooks directly in LabPlot?
For example, let’s open the following notebook to see how it works in #labplot
👉 https://github.com/demotu/BMC/blob/master/notebooks/Statistics-Descriptive.ipynb
#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Science #Statistics #FOSS #OpenSource #Python #Jupyter
@silmaril it’s decided at build/compile time. LabPlot is using Cantor internally and when Cantor is being built, the shared libraries of Python that are found in the labrary path are used and linked to. This basically fixes the version of Python used in labplot/cantor.
Does this mean that as a user of the binary build, I have to install the correct Python version to be used by LabPlot / Cantor on my machine? And the current version will need Python 3.11.x and won’t work if Python 3.12.x is the only version installed?
How can I determine the required Python version from LabPlot in case it’s not already installed?
@silmaril this is correct at the moment. Clearly, this not what people want to have usually and we need to change this.
To determine the required version, you can check the dependencies of executable ‘cantor_pyrhonserver’ on Linux either in your package manager or with ldd. For windows we compile and ship everything and document the required version of python in our FAQ.
Would it be possible to display the Python version and/or it’s executable path in the CAS configuration dialog?
That’s where I would look for this information and it wouldn’t leave any potential for documentation not being up to date.
The FAQ currently states:
What is the “system version”?
On my system
python3 --version
returnsPython 3.10.12
, butprint(sys.version)
in LabPlot returns3.11.9 (main, Nov 10 2011, 15:00:00) [GCC 13.2.0]
The information about Python versions on Windows seems to be correct, but I would recommend to mention the LabPlot version we are talking about in the FAQ, since this will probably change in future versions.