holoviews.plotting.bokeh.graphs module#

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

Bases: ChordMixin, GraphPlot

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_legend, 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, shared_axes, default_tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

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

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.graphs.GraphPlot: tools, arrowhead_length, directed, selection_policy, inspection_policy, color_index, edge_color_index

show_frame = Boolean(default=False, label='Show frame')

Whether or not to show a complete frame around the plot.

labels = ClassSelector(allow_None=True, class_=(<class 'str'>, <class 'holoviews.util.transform.dim'>), label='Labels')

The dimension or dimension value transform used to draw labels from.

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

Index of the dimension from which the node labels will be drawn

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.graphs.GraphPlot(element, plot=None, **params)[source]#

Bases: GraphMixin, CompositeElementPlot, ColorbarPlot, LegendPlot

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_legend, 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, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

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

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

tools = List(bounds=(0, None), default=['hover', 'tap'], label='Tools')

A list of plugin tools to use on the plot.

arrowhead_length = Number(default=0.025, inclusive_bounds=(True, True), label='Arrowhead length')

If directed option is enabled this determines the length of the arrows as fraction of the overall extent of the graph.

directed = Boolean(default=False, label='Directed')

Whether to draw arrows on the graph edges to indicate the directionality of each edge.

selection_policy = Selector(default='nodes', label='Selection policy', names={}, objects=['edges', 'nodes', None])

Determines policy for inspection of graph components, i.e. whether to highlight nodes or edges when selecting connected edges and nodes respectively.

inspection_policy = Selector(default='nodes', label='Inspection policy', names={}, objects=['edges', 'nodes', None])

Determines policy for inspection of graph components, i.e. whether to highlight nodes or edges when hovering over connected edges and nodes respectively.

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

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

edge_color_index = ClassSelector(allow_None=True, class_=(<class 'str'>, <class 'int'>), label='Edge color index')

Deprecated in favor of color style mapping, e.g. edge_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.graphs.NodePlot(element, plot=None, **params)[source]#

Bases: PointPlot

Simple subclass of PointPlot which hides x, y position on hover.

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_legend, 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.chart.PointPlot: jitter, selected, color_index, size_index, scaling_method, scaling_factor, size_fn

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

Bases: GraphPlot

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_legend, 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, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatter

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

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.graphs.GraphPlot: tools, arrowhead_length, directed, selection_policy, inspection_policy, color_index, edge_color_index

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

Whether the triangles should be drawn as filled.