holoviews.plotting.bokeh.path module#

class holoviews.plotting.bokeh.path.ContourPlot(*args, **params)[source]#

Bases: PathPlot

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projection

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

holoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_format

holoviews.plotting.bokeh.element.ElementPlot: fontsize, xticks, yticks, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

holoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, clipping_colors, cticks, logz, rescale_discrete_levels, symmetric

holoviews.plotting.bokeh.element.LegendPlot: legend_cols, legend_labels, legend_muted, legend_offset, legend_position, legend_opts

show_legend = Boolean(default=False, label='Show legend')

Whether to show legend for the plot.

selected = List(allow_None=True, bounds=(0, None), label='Selected')

The current selection as a list of integers corresponding to the selected items.

color_index = ClassSelector(allow_None=True, class_=(<class 'str'>, <class 'int'>), default=0, label='Color index')

Deprecated in favor of color style mapping, e.g. color=dim(‘color’)

get_data(element, ranges, style)[source]#

Returns the data from an element in the appropriate format for initializing or updating a ColumnDataSource and a dictionary which maps the expected keywords arguments of a glyph to the column in the datasource.

class holoviews.plotting.bokeh.path.DendrogramPlot(element, plot=None, **params)[source]#

Bases: PathPlot

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projection

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

holoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_format

holoviews.plotting.bokeh.element.ElementPlot: fontsize, xticks, yticks, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

holoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, clipping_colors, cticks, logz, rescale_discrete_levels, symmetric

holoviews.plotting.bokeh.element.LegendPlot: legend_cols, legend_labels, legend_muted, legend_offset, legend_position, legend_opts

holoviews.plotting.bokeh.path.PathPlot: show_legend, selected, color_index

initialize_plot(ranges=None, plot=None, plots=None, source=None)[source]#

Initializes a new plot object with the last available frame.

class holoviews.plotting.bokeh.path.PathPlot(element, plot=None, **params)[source]#

Bases: LegendPlot, ColorbarPlot

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projection

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

holoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_format

holoviews.plotting.bokeh.element.ElementPlot: fontsize, xticks, yticks, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

holoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, clipping_colors, cticks, logz, rescale_discrete_levels, symmetric

holoviews.plotting.bokeh.element.LegendPlot: legend_cols, legend_labels, legend_muted, legend_offset, legend_position, legend_opts

show_legend = Boolean(default=False, label='Show legend')

Whether to show legend for the plot.

selected = List(allow_None=True, bounds=(0, None), label='Selected')

The current selection as a list of integers corresponding to the selected items.

color_index = ClassSelector(allow_None=True, class_=(<class 'str'>, <class 'int'>), label='Color index')

Deprecated in favor of color style mapping, e.g. color=dim(‘color’)

get_data(element, ranges, style)[source]#

Returns the data from an element in the appropriate format for initializing or updating a ColumnDataSource and a dictionary which maps the expected keywords arguments of a glyph to the column in the datasource.

class holoviews.plotting.bokeh.path.PolygonPlot(*args, **params)[source]#

Bases: ContourPlot

Parameter Definitions

Parameters inherited from:

holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projection

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

holoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_format

holoviews.plotting.bokeh.element.ElementPlot: fontsize, xticks, yticks, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

holoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, clipping_colors, cticks, logz, rescale_discrete_levels, symmetric

holoviews.plotting.bokeh.element.LegendPlot: legend_cols, legend_labels, legend_muted, legend_offset, legend_position, legend_opts

holoviews.plotting.bokeh.path.ContourPlot: show_legend, selected, color_index