A New Custom Tool

This example shows a custom GestureTool subclass that can be used to sketch on the plot canvas by dragging a mouse (or finger on a touch device).

from bokeh.core.properties import Instance
from bokeh.io import output_file, show
from bokeh.models import ColumnDataSource, Tool
from bokeh.plotting import figure
from bokeh.util.compiler import TypeScript


TS_CODE = """
import {GestureTool, GestureToolView} from "models/tools/gestures/gesture_tool"
import {ColumnDataSource} from "models/sources/column_data_source"
import {GestureEvent} from "core/ui_events"
import * as p from "core/properties"

export class DrawToolView extends GestureToolView {
  model: DrawTool

  //this is executed when the pan/drag event starts
  _pan_start(_ev: GestureEvent): void {
    this.model.source.data = {x: [], y: []}

  //this is executed on subsequent mouse/touch moves
  _pan(ev: GestureEvent): void {
    const {frame} = this.plot_view

    const {sx, sy} = ev
    if (!frame.bbox.contains(sx, sy))

    const x = frame.xscales.default.invert(sx)
    const y = frame.yscales.default.invert(sy)

    const {source} = this.model

  // this is executed then the pan/drag ends
  _pan_end(_ev: GestureEvent): void {}

export namespace DrawTool {
  export type Attrs = p.AttrsOf<Props>

  export type Props = GestureTool.Props & {
    source: p.Property<ColumnDataSource>

export interface DrawTool extends DrawTool.Attrs {}

export class DrawTool extends GestureTool {
  properties: DrawTool.Props

  constructor(attrs?: Partial<DrawTool.Attrs>) {

  tool_name = "Drag Span"
  icon = "bk-tool-icon-lasso-select"
  event_type = "pan" as "pan"
  default_order = 12

  static initClass(): void {
    this.prototype.type = "DrawTool"
    this.prototype.default_view = DrawToolView

      source: [ p.Instance ],

class DrawTool(Tool):
    __implementation__ = TypeScript(TS_CODE)
    source = Instance(ColumnDataSource)

source = ColumnDataSource(data=dict(x=[], y=[]))

plot = figure(x_range=(0, 10), y_range=(0, 10), tools=[DrawTool(source=source)])
plot.title.text = "Drag to draw on the plot"
plot.line('x', 'y', source=source)