holoviews.bokeh Package¶

bokeh Package¶

annotation Module¶

class holoviews.plotting.bokeh.annotation.ArrowPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.CompositeElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges=None, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.BoxAnnotationPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

Parameters inherited from:

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

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

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

apply_ranges = param.Boolean(bounds=(0, 1), default=False)

Whether to include the annotation in axis range calculations.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.DivPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.plot.BokehPlot, holoviews.plotting.plot.GenericElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

Parameters inherited from:

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

holoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, 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.bokeh.plot.BokehPlot: title, title_format, shared_datasource, toolbar

hooks = param.HookList(bounds=(0, None), default=[])

Optional list of hooks called when finalizing a plot. The hook is passed the plot object and the displayed element, and other plotting handles can be accessed via plot.handles.

finalize_hooks = param.HookList(bounds=(0, None), default=[])

Deprecated; use hooks options instead.

width = param.Number(bounds=(0, None), default=300, inclusive_bounds=(True, True))

The width of the component (in pixels). This can be either fixed or preferred width, depending on width sizing policy.

height = param.Number(bounds=(0, None), default=300, inclusive_bounds=(True, True))

The height of the component (in pixels). This can be either fixed or preferred height, depending on height sizing policy.

sizing_mode = param.ObjectSelector(objects=[‘fixed’, ‘stretch_width’, ‘stretch_height’, ‘stretch_both’, ‘scale_width’, ‘scale_height’, ‘scale_both’, None])

How the component should size itself. * “fixed” : Component is not responsive. It will retain its original width and height regardless of any subsequent browser window resize events. * “stretch_width” Component will responsively resize to stretch to the available width, without maintaining any aspect ratio. The height of the component depends on the type of the component and may be fixed or fit to component’s contents. * “stretch_height” Component will responsively resize to stretch to the available height, without maintaining any aspect ratio. The width of the component depends on the type of the component and may be fixed or fit to component’s contents. * “stretch_both” Component is completely responsive, independently in width and height, and will occupy all the available horizontal and vertical space, even if this changes the aspect ratio of the component. * “scale_width” Component will responsively resize to stretch to the available width, while maintaining the original or provided aspect ratio. * “scale_height” Component will responsively resize to stretch to the available height, while maintaining the original or provided aspect ratio. * “scale_both” Component will responsively resize to both the available width and height, while maintaining the original or provided aspect ratio.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

get_aspect(xspan, yspan)¶

Should define the aspect ratio of the plot.

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

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

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None)[source]¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.LabelsPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ColorbarPlot, holoviews.plotting.bokeh.element.AnnotationPlot

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, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

show_legend = param.Boolean(bounds=(0, 1), default=False)

Whether to show legend for the plot.

xoffset = param.Number(inclusive_bounds=(True, True))

Amount of offset to apply to labels along x-axis.

yoffset = param.Number(inclusive_bounds=(True, True))

Amount of offset to apply to labels along x-axis.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.LineAnnotationPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

Parameters inherited from:

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

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

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

apply_ranges = param.Boolean(bounds=(0, 1), default=False)

Whether to include the annotation in axis range calculations.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges=None, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.SlopePlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges=None, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.SplinePlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

Draw the supplied Spline annotation (see Spline docstring). Does not support matplotlib Path codes.

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.annotation.TextPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot, holoviews.plotting.bokeh.element.AnnotationPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges=None, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

callbacks Module¶

class holoviews.plotting.bokeh.callbacks.BoundsCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the bounds of a box_select tool.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.BoundsXCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the bounds of a xbox_select tool.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.BoundsYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the bounds of a ybox_select tool.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.BoxEditCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.GlyphDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.CDSCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

A Stream callback that syncs the data on a bokeh ColumnDataSource model with Python.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.Callback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.CustomJSCallback, holoviews.plotting.bokeh.callbacks.ServerCallback

Provides a baseclass to define callbacks, which return data from bokeh model callbacks, events and attribute changes. The callback then makes this data available to any streams attached to it.

The definition of a callback consists of a number of components:

• modelsDefines which bokeh models the callback will be

  attached on referencing the model by its key in the plots handles, e.g. this could be the x_range, y_range, plot, a plotting tool or any other bokeh mode.

• extra_models: Any additional models available in handles which

  should be made available in the namespace of the objects, e.g. to make a tool available to skip checks.

• attributesThe attributes define which attributes to send

  back to Python. They are defined as a dictionary mapping between the name under which the variable is made available to Python and the specification of the attribute. The specification should start with the variable name that is to be accessed and the location of the attribute separated by periods. All models defined by the models and extra_models attributes can be addressed in this way, e.g. to get the start of the x_range as ‘x’ you can supply {‘x’: ‘x_range.attributes.start’}. Additionally certain handles additionally make the cb_data and cb_obj variables available containing additional information about the event.

• skipConditions when the Callback should be skipped

  specified as a list of valid JS expressions, which can reference models requested by the callback, e.g. [‘pan.attributes.active’] would skip the callback if the pan tool is active.

• codeDefines any additional JS code to be executed,

  which can modify the data object that is sent to the backend.

• on_eventsIf the Callback should listen to bokeh events this

  should declare the types of event as a list (optional)

• on_changesIf the Callback should listen to model attribute

  changes on the defined models (optional)

If either on_events or on_changes are declared the Callback will be registered using the on_event or on_change machinery, otherwise it will be treated as a regular callback on the model. The callback can also define a _process_msg method, which can modify the data sent by the callback before it is passed to the streams.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.CurveEditCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.GlyphDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.CustomJSCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.MessageCallback

The CustomJSCallback attaches CustomJS callbacks to a bokeh plot, which looks up the requested attributes and sends back a message to Python using a Comms instance.

classmethod attributes_js(attributes)[source]¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)[source]¶

Creates a CustomJS callback that will send the requested attributes back to python.

set_customjs_callback(js_callback, handle)[source]¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

class holoviews.plotting.bokeh.callbacks.DataLinkCallback(root_model, link, source_plot, target_plot)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.LinkCallback

Merges the source and target ColumnDataSource

classmethod find_link(plot, link=None)¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

class holoviews.plotting.bokeh.callbacks.DoubleTapCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.TapCallback

Returns the mouse x/y-position on doubletap event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.DrawCallback(*args, **kwargs)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.FreehandDrawCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PolyDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.GlyphDrawCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.CDSCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.LassoCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.LinkCallback(root_model, link, source_plot, target_plot=None)[source]¶

Bases: param.parameterized.Parameterized

classmethod find_link(plot, link=None)[source]¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)[source]¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()[source]¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

class holoviews.plotting.bokeh.callbacks.MessageCallback(plot, streams, source, **params)[source]¶

Bases: object

A MessageCallback is an abstract baseclass used to supply Streams with events originating from bokeh plot interactions. The baseclass defines how messages are handled and the basic specification required to define a Callback.

class holoviews.plotting.bokeh.callbacks.MouseEnterCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

Returns the mouse x/y-position on mouseenter event, i.e. when mouse enters the plot canvas.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.MouseLeaveCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

Returns the mouse x/y-position on mouseleave event, i.e. when mouse leaves the plot canvas.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PanEndCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.TapCallback

Returns the mouse x/y-position of a pan end event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PlotSizeCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the actual width and height of a plot once the layout solver has executed.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PointDrawCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.GlyphDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PointerXCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

Returns the mouse x-position on mousemove event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PointerXYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the mouse x/y-position on mousemove event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PointerYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

Returns the mouse x/y-position on mousemove event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PolyDrawCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.GlyphDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PolyEditCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PolyDrawCallback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.PressUpCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.TapCallback

Returns the mouse x/y-position of a pressup mouse event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.RangeToolLinkCallback(root_model, link, source_plot, target_plot)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.LinkCallback

Attaches a RangeTool to the source plot and links it to the specified axes on the target plot

classmethod find_link(plot, link=None)¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

class holoviews.plotting.bokeh.callbacks.RangeXCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.RangeXYCallback

Returns the x-axis range of a plot.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.RangeXYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the x/y-axis ranges of a plot.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.RangeYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.RangeXYCallback

Returns the y-axis range of a plot.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.RectanglesTableLinkCallback(root_model, link, source_plot, target_plot=None)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.DataLinkCallback

classmethod find_link(plot, link=None)¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

class holoviews.plotting.bokeh.callbacks.ResetCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Signals the Reset stream if an event has been triggered.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.SelectModeCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.Selection1DCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.Callback

Returns the current selection on a ColumnDataSource.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.SelectionLinkCallback(root_model, link, source_plot, target_plot=None)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.LinkCallback

classmethod find_link(plot, link=None)¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

class holoviews.plotting.bokeh.callbacks.SelectionXYCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.BoundsCallback

Converts a bounds selection to numeric or categorical x-range and y-range selections.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.ServerCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.MessageCallback

Implements methods to set up bokeh server callbacks. A ServerCallback resolves the requested attributes on the Python end and then hands the msg off to the general on_msg handler, which will update the Stream(s) attached to the callback.

The ServerCallback supports three different throttling modes:

• adaptive (default): The callback adapts the throttling timeout depending on the rolling mean of the time taken to process each message. The rolling window is controlled by the adaptive_window value.

• throttle: Uses the fixed throttle_timeout as the minimum amount of time between events.

• debounce: Processes the message only when no new event has been received within the throttle_timeout duration.

on_change(attr, old, new)[source]¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)[source]¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()[source]¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)[source]¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_server_callback(handle)[source]¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.SingleTapCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.TapCallback

Returns the mouse x/y-position on tap event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.TapCallback(plot, streams, source, **params)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.PointerXYCallback

Returns the mouse x/y-position on tap event.

Note: As of bokeh 0.12.5, there is no way to distinguish the individual tap events within a doubletap event.

classmethod attributes_js(attributes)¶

Generates JS code to look up attributes on JS objects from an attributes specification dictionary. If the specification references a plotting particular plotting handle it will also generate JS code to get the ID of the object.

Simple example (when referencing cb_data or cb_obj):

Input : {‘x’: ‘cb_data.geometry.x’}

Output : data[‘x’] = cb_data[‘geometry’][‘x’]

Example referencing plot handle:

Input : {‘x0’: ‘x_range.attributes.start’}

Outputif ((x_range !== undefined)) {

data[‘x0’] = {id: x_range[‘id’], value: x_range[‘attributes’][‘start’]}

}

get_customjs(references, plot_id=None)¶

Creates a CustomJS callback that will send the requested attributes back to python.

on_change(attr, old, new)¶

Process change events adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

on_event(event)¶

Process bokeh UIEvents adding timeout to process multiple concerted value change at once rather than firing off multiple plot updates.

process_on_event()¶

Trigger callback change event and triggering corresponding streams.

classmethod resolve_attr_spec(spec, cb_obj, model=None)¶

Resolves a Callback attribute specification looking the corresponding attribute up on the cb_obj, which should be a bokeh model. If not model is supplied cb_obj is assumed to be the same as the model.

set_customjs_callback(js_callback, handle)¶

Generates a CustomJS callback by generating the required JS code and gathering all plotting handles and installs it on the requested callback handle.

set_server_callback(handle)¶

Set up on_change events for bokeh server interactions.

class holoviews.plotting.bokeh.callbacks.VertexTableLinkCallback(root_model, link, source_plot, target_plot=None)[source]¶

Bases: holoviews.plotting.bokeh.callbacks.LinkCallback

classmethod find_link(plot, link=None)¶

Searches a GenericElementPlot for a Link.

classmethod find_links(root_plot)¶

Traverses the supplied plot and searches for any Links on the plotted objects.

validate()¶

Should be subclassed to check if the source and target plots are compatible to perform the linking.

chart Module¶

class holoviews.plotting.bokeh.chart.AreaPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.mixins.AreaMixin, holoviews.plotting.bokeh.chart.SpreadPlot

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, finalize_hooks, logx, logy, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.BarPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.mixins.BarsMixin, holoviews.plotting.bokeh.element.ColorbarPlot, holoviews.plotting.bokeh.element.LegendPlot

BarPlot allows generating single- or multi-category bar Charts, by selecting which key dimensions are mapped onto separate groups, categories and stacks.

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

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

multi_level = param.Boolean(bounds=(0, 1), default=True)

Whether the Bars should be grouped into a second categorical axis level.

stacked = param.Boolean(bounds=(0, 1), default=False)

Whether the bars should be stacked or grouped.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined')¶

Make adjustments to plot extents by computing stacked bar heights, adjusting the bar baseline and forcing the x-axis to be categorical.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_stack(xvals, yvals, baselines, sign='positive')[source]¶

Iterates over a x- and y-values in a stack layer and appropriately offsets the layer on top of the previous layer.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.CurvePlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot

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, finalize_hooks, logx, logy, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

interpolation = param.ObjectSelector(default=’linear’, objects=[‘linear’, ‘steps-mid’, ‘steps-pre’, ‘steps-post’])

Defines how the samples of the Curve are interpolated, default is ‘linear’, other options include ‘steps-mid’, ‘steps-pre’ and ‘steps-post’.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.ErrorPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ColorbarPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

selected = param.List(bounds=(0, None))

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.HistogramPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ColorbarPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined')[source]¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.PointPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.LegendPlot, holoviews.plotting.bokeh.element.ColorbarPlot

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, finalize_hooks, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

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

jitter = param.Number(bounds=(0, None), inclusive_bounds=(True, True))

The amount of jitter to apply to offset the points along the x-axis.

selected = param.List(bounds=(0, None))

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

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

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

size_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

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

scaling_method = param.ObjectSelector(default=’area’, objects=[‘width’, ‘area’])

Deprecated in favor of size style mapping, e.g. size=dim(‘size’)**2.

scaling_factor = param.Number(bounds=(0, None), default=1, inclusive_bounds=(True, True))

Scaling factor which is applied to either the width or area of each point, depending on the value of scaling_method.

size_fn = param.Callable(default=<ufunc ‘absolute’>)

Function applied to size values before applying scaling, to remove values lower than zero.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

size_fn = <ufunc 'absolute'>¶

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.SideHistogramPlot(*args, **kwargs)[source]¶

Bases: holoviews.plotting.bokeh.chart.HistogramPlot

Parameters inherited from:

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

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

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, tools, xformatter, yformatter

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

show_title = param.Boolean(bounds=(0, 1), default=False)

Whether to display the plot title.

width = param.Integer(bounds=(0, None), default=125, inclusive_bounds=(True, True))

The width of the plot

height = param.Integer(bounds=(0, None), default=125, inclusive_bounds=(True, True))

The height of the plot

default_tools = param.List(bounds=(0, None), default=[‘save’, ‘pan’, ‘wheel_zoom’, ‘box_zoom’, ‘reset’])

A list of plugin tools to use on the plot.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined')¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.SideSpikesPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.chart.SpikesPlot

SpikesPlot with useful defaults for plotting adjoined rug plot.

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, finalize_hooks, logx, logy, padding, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, active_tools, align, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

holoviews.plotting.bokeh.chart.SpikesPlot: show_legend, spike_length, position, color_index

xaxis = param.ObjectSelector(default=’top-bare’, 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 = param.ObjectSelector(default=’right-bare’, 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’.

width = param.Integer(bounds=(0, None), default=50, inclusive_bounds=(True, True))

Width of plot

height = param.Integer(bounds=(0, None), default=50, inclusive_bounds=(True, True))

Height of plot

border = param.Integer(default=5, inclusive_bounds=(True, True))

Default borders on plot

selected = param.List(bounds=(0, None))

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

get_data(element, ranges, style)¶

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.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.SpikesPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.mixins.SpikesMixin, holoviews.plotting.bokeh.element.ColorbarPlot

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, finalize_hooks, logx, logy, padding, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

show_legend = param.Boolean(bounds=(0, 1), default=True)

Whether to show legend for the plot.

spike_length = param.Number(default=0.5, inclusive_bounds=(True, True))

The length of each spike if Spikes object is one dimensional.

position = param.Number(default=0.0, inclusive_bounds=(True, True))

The position of the lower end of each spike.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

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

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.SpreadPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ElementPlot

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, finalize_hooks, logx, logy, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=(0, 0.1))

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.

class holoviews.plotting.bokeh.chart.VectorFieldPlot(element, plot=None, **params)[source]¶

Bases: holoviews.plotting.bokeh.element.ColorbarPlot

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, finalize_hooks, logx, logy, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotation, xticks, yticks

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

holoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, border, aspect, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, xformatter, yformatter

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

padding = param.ClassSelector(class_=(<class ‘int’>, <class ‘float’>, <class ‘tuple’>), default=0.05)

Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.

arrow_heads = param.Boolean(bounds=(0, 1), default=True)

Whether or not to draw arrow heads.

magnitude = param.ClassSelector(class_=(<class ‘str’>, <class ‘holoviews.util.transform.dim’>))

Dimension or dimension value transform that declares the magnitude of each vector. Magnitude is expected to be scaled between 0-1, by default the magnitudes are rescaled relative to the minimum distance between vectors, this can be disabled with the rescale_lengths option.

pivot = param.ObjectSelector(default=’mid’, objects=[‘mid’, ‘tip’, ‘tail’])

The point around which the arrows should pivot valid options include ‘mid’, ‘tip’ and ‘tail’.

rescale_lengths = param.Boolean(bounds=(0, 1), default=True)

Whether the lengths will be rescaled to take into account the smallest non-zero distance between two vectors.

color_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Deprecated in favor of dimension value transform on color option, e.g. color=dim(‘Magnitude’).

size_index = param.ClassSelector(class_=(<class ‘str’>, <class ‘int’>))

Deprecated in favor of the magnitude option, e.g. magnitude=dim(‘Magnitude’).

normalize_lengths = param.Boolean(bounds=(0, 1), default=True)

Deprecated in favor of rescaling length using dimension value transforms using the magnitude option, e.g. dim(‘Magnitude’).norm().

cleanup()¶

Cleans up references to the plot after the plot has been deleted. Traverses through all plots cleaning up Callbacks and Stream subscribers.

compute_ranges(obj, key, ranges)¶

Given an object, a specific key, and the normalization options, this method will find the specified normalization options on the appropriate OptionTree, group the elements according to the selected normalization option (i.e. either per frame or over the whole animation) and finally compute the dimension ranges in each group. The new set of ranges is returned.

property current_handles¶

Should return a list of plot objects that have changed and should be updated.

property framewise¶

Property to determine whether the current frame should have framewise normalization enabled. Required for bokeh plotting classes to determine whether to send updated ranges for each frame.

get_aspect(xspan, yspan)¶

Computes the aspect ratio of the plot

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.

get_extents(element, ranges, range_type='combined', xdim=None, ydim=None, zdim=None)¶

Gets the extents for the axes from the current Element. The globally computed ranges can optionally override the extents.

The extents are computed by combining the data ranges, extents and dimension ranges. Each of these can be obtained individually by setting the range_type to one of:

• ‘data’: Just the data ranges

• ‘extents’: Element.extents

• ‘soft’: Dimension.soft_range values

• ‘hard’: Dimension.range values

To obtain the combined range, which includes range padding the default may be used:

• ‘combined’: All the range types combined and padding applied

This allows Overlay plots to obtain each range and combine them appropriately for all the objects in the overlay.

get_padding(obj, extents)¶

Computes padding along the axes taking into account the plot aspect.

get_zorder(overlay, key, el)¶

Computes the z-order of element in the NdOverlay taking into account possible batching of elements.

initialize_plot(ranges=None, plot=None, plots=None, source=None)¶

Initializes a new plot object with the last available frame.

property link_sources¶

Returns potential Link or Stream sources.

matches(spec)¶

Matches a specification against the current Plot.

model_changed(model)¶

Determines if the bokeh model was just changed on the frontend. Useful to suppress boomeranging events, e.g. when the frontend just sent an update to the x_range this should not trigger an update on the backend.

push()¶

Pushes plot updates to the frontend.

refresh(**kwargs)¶

Refreshes the plot by rerendering it and then pushing the updated data if the plot has an associated Comm.

set_root(root)¶

Sets the root model on all subplots.

property state¶

The plotting state that gets updated via the update method and used by the renderer to generate output.

sync_sources()¶

Syncs data sources between Elements, which draw data from the same object.

traverse(fn=None, specs=None, full_breadth=True)¶

Traverses any nested DimensionedPlot returning a list of all plots that match the specs. The specs should be supplied as a list of either Plot types or callables, which should return a boolean given the plot class.

update(key)¶

Update the internal state of the Plot to represent the given key tuple (where integers represent frames). Returns this state.

update_frame(key, ranges=None, plot=None, element=None)¶

Updates an existing plot with data corresponding to the key.