@glyph_method(glyphs.MultiLine)
def multi_line(self, *args: Any, **kwargs: Any) -> GlyphRenderer:
    '\n.. note::\n    For this glyph, the data is not simply an array of scalars, it is an\n    "array of arrays".\n\nExamples:\n\n    .. code-block:: python\n\n        from bokeh.plotting import figure, output_file, show\n\n        p = figure(width=300, height=300)\n        p.multi_line(xs=[[1, 2, 3], [2, 3, 4]], ys=[[6, 7, 2], [4, 5, 7]],\n                    color=[\'red\',\'green\'])\n\n        show(p)\n\n'
.. note::
    For this glyph, the data is not simply an array of scalars, it is an
    "array of arrays".

Examples:

    .. code-block:: python

        from bokeh.plotting import figure, output_file, show

        p = figure(width=300, height=300)
        p.multi_line(xs=[[1, 2, 3], [2, 3, 4]], ys=[[6, 7, 2], [4, 5, 7]],
                    color=['red','green'])

        show(p)
@glyph_method(glyphs.MultiLine)
def multi_line(self, *args: Any, **kwargs: Any) -> GlyphRenderer:
    '\n.. note::\n    For this glyph, the data is not simply an array of scalars, it is an\n    "array of arrays".\n\nExamples:\n\n    .. code-block:: python\n\n        from bokeh.plotting import figure, output_file, show\n\n        p = figure(width=300, height=300)\n        p.multi_line(xs=[[1, 2, 3], [2, 3, 4]], ys=[[6, 7, 2], [4, 5, 7]],\n                    color=[\'red\',\'green\'])\n\n        show(p)\n\n'