Method box

hvplot/plotting/core.py:936–979

The `box` plot gives you a visual idea about the *locality*, *spread* and *skewness* of numerical data through their quartiles. It is also known as *box and whiskers plot*. `box` plots are most useful when grouped by additional dimensions. Reference: https://hvplot

(self, y=None, by=None, **kwds)

        return self(x, y, kind='barh', stacked=stacked, **kwds)

    def box(self, y=None, by=None, **kwds):
        """
        The `box` plot gives you a visual idea about the *locality*, *spread* and *skewness* of
        numerical data through their quartiles. It is also known as *box and whiskers plot*.

        `box` plots are most useful when grouped by additional dimensions.

        Reference: https://hvplot.holoviz.org/ref/api/manual/hvplot.hvPlot.box.html

        Plotting options: https://hvplot.holoviz.org/ref/plotting_options/index.html

        Parameters
        ----------
        y : string or sequence
            Field(s) in the *wide* data to compute distribution from. If none is provided all
            numerical fields will be used.
        by : string or sequence
            Field in the *long* data to group by.
        kwds : optional
            Additional keywords arguments are documented in :ref:`plot-options`.
            Run ``hvplot.help('box')`` for the full method documentation.

        Returns
        -------
        :class:`holoviews:holoviews.element.BoxWhisker` / Panel object
            You can `print` the object to study its composition and run:

            .. code-block::

                import holoviews as hv
                hv.help(the_holoviews_object)

            to learn more about its parameters and options.

        References
        ----------
        - Bokeh: https://docs.bokeh.org/en/latest/docs/examples/topics/stats/boxplot.html
        - HoloViews: https://holoviews.org/reference/elements/bokeh/BoxWhisker.html
        - Matplotlib: https://matplotlib.org/stable/plot_types/stats/boxplot_plot.html#sphx-glr-plot-types-stats-boxplot-plot-py
        - Pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.boxplot.html
        - Plotly: https://plotly.com/python/box-plots/
        - Wiki: https://en.wikipedia.org/wiki/Box_plot
        """
        return self(kind='box', x=None, y=y, by=by, **dict(kwds, hover=False))

    def violin(self, y=None, by=None, **kwds):
        """