BOKEHPlot#

class pyopenms_viz._bokeh.BOKEHPlot(data: DataFrame, config: BasePlotConfig = None, **kwargs)#

Bases: BasePlot, ABC

Base class for assembling a Bokeh plot

_add_bounding_box_drawer()#

Add a BoxEditTool to the figure for drawing bounding boxes.

Parameters:

fig (figure) – The Bokeh figure object to add the BoxEditTool to.

Returns:

The renderer object that is used to draw the bounding box.

_add_bounding_vertical_drawer()#

Add a BoxEditTool to the figure for drawing bounding vertical strips.

Parameters:

fig (figure) – The Bokeh figure object to add the BoxEditTool to.

Returns:

The renderer object that is used to draw the bounding box.

_add_legend(legend)#

Add the legend

_add_tooltips(tooltips, custom_hover_data, fixed_tooltip_for_trace=True)#

Add tooltips to the plot

_create_figure()#

Creates a figure from scratch

property _interactive#

Whether the plot is interactive. Must be overridden by subclasses

_modify_x_range(x_range: Tuple[float, float], padding: Tuple[float, float] | None = None)#

Modify the x-axis range.

Parameters:

  • x_range (Tuple[float, float]) – The desired x-axis range.

  • padding (Tuple[float, float] | None, optional) – The padding to be applied to the x-axis range, in decimal percent. Defaults to None.

_modify_y_range(y_range: Tuple[float, float], padding: Tuple[float, float] | None = None)#

Modifies the y-axis range of the plot.

Parameters:

  • y_range (Tuple[float, float]) – The desired y-axis range.

  • padding (Tuple[float, float] | None, optional) – The padding to be applied to the y-axis range, in decimal percent. Defaults to None.

_update_plot_aes()#

Update the aesthetics of the plot

generate(tooltips, custom_hover_data) → figure#

Generate the plot