![]() The command line options to Octave can also be specified with an The path to the Octave kernel JSON file can also be specified by creating an # use Qt as the default backend for plotsĬ.ot_settings = dict ( backend = 'qt' ) ‘format’, ‘backend’, ‘width’, ‘height’, ‘resolution’, and ‘plot_dir’. Kernel_json, and cli_options as configurable traits. The OctaveKernel class offers plot_settings, inline_toolkit, The kernel can be configured by adding an octave_kernel_config.py file to the For a full list of magics,Ī sample notebook is available online. Which means it features a standard set of magics (such as %%html). # In the notebook interface, select Octave from the 'New' menu To use the kernel, run one of: jupyter notebook # or ``jupyter lab``, if available Python -m octave_kernel install -help for available options. Octave kernel, and install using python -m octave_kernel install. If the default location is not desired, remove the directory for the This location can be found using jupyter kernelspec list. We automatically install a Jupyter kernelspec when installing the Note that on Octave 5 on Windows, the executable is in "Octave-5.x.x.x\mingw64\bin". OCTAVE_EXECUTABLE to point to the executable itself. We require the octave executable to run the kernel.Īdd that executable’s directory to the PATH environment variable or use the ![]() To install using conda: conda config -add channels conda-forgeĬonda install texinfo # For the inline documentation (shift-tab) to appear. To install using pip: pip install octave_kernelĪdd -user to install in the user-level environment instead of the system environment.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |