holoviews.plotting.mpl.stats module#

class holoviews.plotting.mpl.stats.BivariatePlot(*args, **kwargs)[source]#

Bases: PolygonPlot

Bivariate plot visualizes two-dimensional kernel density estimates. Additionally, by enabling the joint option, the marginals distributions can be plotted alongside each axis (does not animate or compose).

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, backend_opts, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_offset, sublabel_position, sublabel_size, sublabel_skip, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.element.ColorbarPlot: clabel, clim, clim_percentile, cformatter, colorbar, colorbar_opts, color_levels, cnorm, clipping_colors, cbar_padding, cbar_ticks, cbar_width, cbar_extend, rescale_discrete_levels, symmetric

holoviews.plotting.mpl.path.PathPlot: aspect

holoviews.plotting.mpl.path.ContourPlot: color_index

holoviews.plotting.mpl.path.PolygonPlot: show_legend

bandwidth = Number(allow_None=True, inclusive_bounds=(True, True), label='Bandwidth')

The bandwidth of the kernel for the density estimate.

cut = Number(default=3, inclusive_bounds=(True, True), label='Cut')

Draw the estimate to cut * bw from the extreme data points.

filled = Boolean(default=False, label='Filled')

Whether the bivariate contours should be filled.

levels = ClassSelector(class_=(<class 'list'>, <class 'int'>), default=10, label='Levels')

A list of scalar values used to specify the contour levels.

class holoviews.plotting.mpl.stats.BoxPlot(element, **params)[source]#

Bases: MultiDistributionMixin, ChartPlot

BoxPlot plots the ErrorBar Element type and supporting both horizontal and vertical error bars via the ‘horizontal’ plot option.

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, backend_opts, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_offset, sublabel_position, sublabel_size, sublabel_skip, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

init_artists(ax, plot_args, plot_kwargs)[source]#

Initializes the artist based on the plot method declared on the plot.

teardown_handles()[source]#

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.

class holoviews.plotting.mpl.stats.DistributionPlot(element, **params)[source]#

Bases: AreaPlot

DistributionPlot visualizes a distribution of values as a KDE.

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, backend_opts, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_offset, sublabel_position, sublabel_size, sublabel_skip, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.chart.AreaPlot: padding, show_legend

bandwidth = Number(allow_None=True, inclusive_bounds=(True, True), label='Bandwidth')

The bandwidth of the kernel for the density estimate.

cut = Number(default=3, inclusive_bounds=(True, True), label='Cut')

Draw the estimate to cut * bw from the extreme data points.

filled = Boolean(default=True, label='Filled')

Whether the bivariate contours should be filled.

class holoviews.plotting.mpl.stats.SideBoxPlot(*args, **kwargs)[source]#

Bases: AdjoinedPlot, BoxPlot

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, title, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, backend_opts, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_offset, sublabel_position, sublabel_size, sublabel_skip, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, padding, show_legend, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

holoviews.plotting.mpl.plot.AdjoinedPlot: show_title, aspect, subplot_size, show_xlabel

bgcolor = Parameter(default=(1, 1, 1, 0), label='Bgcolor')

Make plot background invisible.

xaxis = Selector(default='bare', label='Xaxis', names={}, objects=['top', 'bottom', 'bare', 'top-bare', 'bottom-bare', None])

Whether and where to display the xaxis, bare options allow suppressing all axis labels including ticks and xlabel. Valid options are ‘top’, ‘bottom’, ‘bare’, ‘top-bare’ and ‘bottom-bare’.

yaxis = Selector(default='bare', label='Yaxis', names={}, objects=['left', 'right', 'bare', 'left-bare', 'right-bare', None])

Whether and where to display the yaxis, bare options allow suppressing all axis labels including ticks and ylabel. Valid options are ‘left’, ‘right’, ‘bare’ ‘left-bare’ and ‘right-bare’.

border_size = Number(default=0, inclusive_bounds=(True, True), label='Border size')

The size of the border expressed as a fraction of the main plot.

class holoviews.plotting.mpl.stats.ViolinPlot(element, **params)[source]#

Bases: BoxPlot

BoxPlot plots the ErrorBar Element type and supporting both horizontal and vertical error bars via the ‘horizontal’ plot option.

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize

holoviews.plotting.mpl.plot.MPLPlot: projection, backend_opts, fig_alpha, fig_bounds, fig_inches, fig_latex, fig_rcparams, fig_size, initial_hooks, sublabel_format, sublabel_offset, sublabel_position, sublabel_size, sublabel_skip, show_frame

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

holoviews.plotting.mpl.element.ElementPlot: apply_ticks, aspect, data_aspect, invert_zaxis, labelled, logz, xformatter, yformatter, zformatter, zaxis, zlabel, zrotation, zticks

bandwidth = Number(allow_None=True, inclusive_bounds=(True, True), label='Bandwidth')

Allows supplying explicit bandwidth value rather than relying on scott or silverman method.

inner = Selector(default='box', label='Inner', names={}, objects=['box', 'medians', None])

Inner visual indicator for distribution values: * box - A small box plot * stick - Lines indicating each sample value * quartiles - Indicates first, second and third quartiles

init_artists(ax, plot_args, plot_kwargs)[source]#

Initializes the artist based on the plot method declared on the plot.

teardown_handles()[source]#

If no custom update_handles method is supplied this method is called to tear down any previous handles before replacing them.