Configuration tools

Interactive Data Visualization with Bokeh

George Boorman

Core Curriculum Manager, DataCamp

The default toolbar

PanTool
- pan
BoxZoomTool
- box_zoom
WheelZoomTool
- wheel_zoom
Save
- save
Reset
- reset

default_toolbar

Configuration tools

We will cover:

Pan/Drag tools
Click/Tap tools
Scroll/Pinch tools

Other tools outside of course scope:

Actions
Inspectors
Edit tools

¹ http://docs.bokeh.org/en/latest/docs/user_guide/tools.html

Pan/drag tools

PanTool
- pan
BoxSelectTool
- box_select
BoxZoomTool
- box_zoom
LassoSelectTool
- lasso_select

Pan video

Lasso select

Click/tap tools

PolySelectTool
- poly_select

TapTool
- tap

Poly Select Demo

Tap Demo

Scroll/pinch tools

WheelZoomTool
- wheel_zoom

WheelPanTool
- xwheel_pan
- ywheel_pan

Wheel Zoom Demo

Customizing the toolbar

from bokeh.models import BoxSelectTool

fig = figure(x_axis_label="Steals per Game", 
             y_axis_label="Assists per Game")
fig.circle(x=nba["steals"], y=nba["assists"])

fig.add_tools(BoxSelectTool())

output_file(filename="adding_box_select.html")
show(fig)

Adding BoxSelect

Custom list of tools

tools = ["lasso_select", "box_zoom", "tap"]

fig = figure(x_axis_label="Steals", y_axis_label="Assists",

             tools=tools)

fig.circle(x=nba["steals"], y=nba["assists"])
output_file(filename="custom_tools.html")
show(fig)

Tools List

Let's practice!

Interactive Data Visualization with Bokeh