.. https://devguide.python.org/documentation/markup/#sections https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html#sections # with overline, for parts : ###################################################################### * with overline, for chapters : ********************************************************************** = for sections : ====================================================================== - for subsections : ---------------------------------------------------------------------- ^ for subsubsections : ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ " for paragraphs : """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" .. # https://rsted.info.ucl.ac.be/ .. # https://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html#paragraph-level-markup .. # https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html#footnotes .. # https://documatt.com/restructuredtext-reference/element/admonition.html .. # attention, caution, danger, error, hint, important, note, tip, warning, admonition, seealso .. # versionadded, versionchanged, deprecated, versionremoved, rubric, centered, hlist .. currentmodule:: scikitplot.nc .. _nc-index: nc (NumCpp) ====================================================================== Examples relevant to the :py:mod:`~.nc` module with :py:mod:`~._numcpp`. :py:mod:`~.nc` is a Python module that provides high-performance numerical functions by exposing the C++ header-only library NumCpp, allowing seamless use of NumPy arrays in Python. .. seealso:: * https://github.com/dpilger26/NumCpp * https://numcpp.readthedocs.io/en/latest/ * https://numcpp.readthedocs.io/en/latest/commandTable.html .. .. jupyter-execute .. .. code-block:: python .. prompt:: python >>> from scikitplot import nc nc.get_include() .. .. code-block:: python .. prompt:: python >>> from scikitplot import nc print(nc.__doc__) print(nc.dot.__doc__)