@glyph_method(glyphs.Patches)
def patches(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.patches(xs=[[1,2,3],[4,5,6,5]], ys=[[1,2,1],[4,5,5,4]],\n                  color=["#43a2ca", "#a8ddb5"])\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.patches(xs=[[1,2,3],[4,5,6,5]], ys=[[1,2,1],[4,5,5,4]],
                  color=["#43a2ca", "#a8ddb5"])

        show(p)
@glyph_method(glyphs.Patches)
def patches(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.patches(xs=[[1,2,3],[4,5,6,5]], ys=[[1,2,1],[4,5,5,4]],\n                  color=["#43a2ca", "#a8ddb5"])\n\n        show(p)\n\n'