If one wants to define the active (default) tools for a bokeh plot, it can be set by passing "active_drag", "active_inspect", ... parameters to the figure instance as documented here.
I have not yet succeeded to set the standard-active tools for a gridplot, in which all single plots share a toolbar. This the relevant part of my code:
tools = [
PanTool(),
BoxZoomTool(),
WheelZoomTool(),
UndoTool(),
RedoTool(),
ResetTool(),
SaveTool(),
HoverTool(tooltips=[
("Value", "$y")
])
]
x_axes_range = Range1d(self.data.index[0], self.data.index[-1])
for plot_type, plot_settings in pcfg.plot_types[self.name].items():
plots.append(figure(x_axis_type="datetime", title=plot_type, plot_height = 400, x_range = x_axes_range,
tools = tools, active_drag = None, active_inspect = None, active_scroll = None, active_tap = None))
...
plots[plot_counter].line(self.data.index, self.data[parameter], color=parameter_settings[1], legend=parameter_settings[0])
...
gp = gridplot(plots, ncols = 1, sizing_mode = "scale_width")
script, div = components(gp)
So what happens is that the "BoxZoomTool()" is selected as active tool on the website I display it on, although I set the active tools to None in the figure initializations, but the available tools are those I passed to the figure() inits.
I did see the "toolbar_option" here, but I do not see how I can change the active tools using that parameter.
Well, it seems that somebody created a GitHub Issue and the changes were already merged. Let's see if this is working in the next Bokeh Version
I believe you only can change the logo with toolbar_options like this:
toolbar_options=dict(logo='gray')
I hope there will more options in the future.
I have checked how to achieve what you want (I needed to do it as well) and it seems that the gridplot uses an special toolbar to join all the plot toolbars together: a ProxyToolbar
# Make the grid
tools = []
rows = []
for row in children:
row_tools = []
row_children = []
for item in row:
if merge_tools:
if item is not None:
for plot in item.select(dict(type=Plot)):
row_tools = row_tools + plot.toolbar.tools
plot.toolbar_location = None
if item is None:
width, height = 0, 0
for neighbor in row:
if isinstance(neighbor, Plot):
width = neighbor.plot_width
height = neighbor.plot_height
break
item = Spacer(width=width, height=height)
if isinstance(item, LayoutDOM):
item.sizing_mode = sizing_mode
if isinstance(item, Plot):
if plot_width:
item.plot_width = plot_width
if plot_height:
item.plot_height = plot_height
row_children.append(item)
else:
raise ValueError("Only LayoutDOM items can be inserted into Grid")
tools = tools + row_tools
rows.append(Row(children=row_children, sizing_mode=sizing_mode))
grid = Column(children=rows, sizing_mode=sizing_mode)
if not merge_tools:
return grid
if toolbar_location:
proxy = ProxyToolbar(tools=tools, **toolbar_options)
toolbar = ToolbarBox(toolbar=proxy, toolbar_location=toolbar_location)
The tools are gathered in a list to assign them to the special toolbar. I don´t see that the default active elements are collected anywhere.
So what you could do is to create a toolbar and the gridplot manually, where you can set the attributes you want to the Toolbar class. Check this example I have built:
from bokeh.models import Button, ColumnDataSource, Range1d, Toolbar, ToolbarBox
from bokeh.models.tools import HoverTool, WheelZoomTool, PanTool, CrosshairTool
from bokeh.layouts import layout
from bokeh.plotting import curdoc, figure
x_range = Range1d(start=0, end=10)
y_range = Range1d(start=0, end=10)
# ------------------- PLOT 1 --------------------------- #
plot_1 = figure(
title='First figure',
width=400,
height=400,
x_range=x_range,
y_range=y_range,
toolbar_location=None,
x_axis_label='x axis',
y_axis_label='y axis',
)
x = [1, 2, 3, 4]
y = [4, 3, 2, 1]
source = ColumnDataSource(data=dict(x=x, y=y))
plot_1.circle(
x='x',
y='y',
source=source,
radius=0.5,
fill_alpha=0.6,
fill_color='green',
line_color='black',
)
# ------------------- PLOT 2 --------------------------- #
plot_2 = figure(
name='plot_2',
title='Second figure',
width=400,
height=400,
x_range=x_range,
y_range=y_range,
toolbar_location=None,
x_axis_label='x axis',
y_axis_label='y axis',
)
plot_2.circle(
x='x',
y='y',
source=source,
radius=0.5,
fill_alpha=0.6,
fill_color='red',
line_color='black',
)
# ---------------- ADD TOOLS TO THE PLOT --------------------- #
wheel_zoom = WheelZoomTool()
pan_tool = PanTool()
hover = HoverTool()
crosshair = CrosshairTool()
tools = (wheel_zoom, pan_tool, hover, crosshair)
toolbar = Toolbar(
tools=[wheel_zoom, pan_tool, hover, crosshair],
active_inspect=[crosshair],
# active_drag = # here you can assign the defaults
# active_scroll = # wheel_zoom sometimes is not working if it is set here
# active_tap
)
toolbar_box = ToolbarBox(
toolbar=toolbar,
toolbar_location='left'
)
plot_1.add_tools(*tools)
plot_2.add_tools(*tools)
# ----------------- PLOT LAYOUT -------------------------- #
layout_1 = layout(
children=[
[toolbar_box, plot_1, plot_2],
],
sizing_mode='fixed',
)
curdoc().add_root(layout_1)
Note: I am doing some tests and sometimes it is not working well. The tools are marked as default but randomly don´t work, I am afraid it has something to do with the JavaScript and asyncronous tasks. So maybe we should wait.
I think I found a solution that always work. This is a kind of workaround. In my example I use two plots, but only the toolbar of the first plot is shown. Anyway you need to set the default toolbar values to both plots.
from bokeh.models import Button, ColumnDataSource, Range1d, Toolbar, ToolbarBox
from bokeh.models.tools import HoverTool, WheelZoomTool, PanTool, CrosshairTool, LassoSelectTool
from bokeh.layouts import layout
from bokeh.plotting import curdoc, figure
x_range = Range1d(start=0, end=10)
y_range = Range1d(start=0, end=10)
# ------------------- PLOT 1 --------------------------- #
plot_1 = figure(
title='First figure',
width=400,
height=400,
x_range=x_range,
y_range=y_range,
toolbar_location='left', # show only the toolbar of the first plot
tools='',
x_axis_label='x axis',
y_axis_label='y axis',
)
x = [1, 2, 3, 4]
y = [4, 3, 2, 1]
source = ColumnDataSource(data=dict(x=x, y=y))
plot_1.circle(
x='x',
y='y',
source=source,
radius=0.5,
fill_alpha=0.6,
fill_color='green',
line_color='black',
)
# ------------------- PLOT 2 --------------------------- #
plot_2 = figure(
name='plot_2',
title='Second figure',
width=400,
height=400,
x_range=x_range,
y_range=y_range,
toolbar_location=None,
tools='',
x_axis_label='x axis',
y_axis_label='y axis',
)
plot_2.circle(
x='x',
y='y',
source=source,
radius=0.5,
fill_alpha=0.6,
fill_color='red',
line_color='black',
)
# ---------------- ADD TOOLS TO THE PLOT --------------------- #
wheel_zoom = WheelZoomTool()
lasso_select = LassoSelectTool()
pan_tool = PanTool()
hover = HoverTool()
crosshair = CrosshairTool()
tools = (wheel_zoom, lasso_select, pan_tool, hover, crosshair)
plot_1.add_tools(*tools)
plot_2.add_tools(*tools)
plot_1.toolbar.active_inspect=[crosshair] # defaults added to the first plot
plot_1.toolbar.active_scroll=wheel_zoom
plot_1.toolbar.active_tap=None
plot_1.toolbar.active_drag=lasso_select
plot_2.toolbar.active_inspect=[crosshair] # defaults added to the second plot
plot_2.toolbar.active_scroll=wheel_zoom
plot_2.toolbar.active_tap=None
plot_2.toolbar.active_drag=lasso_select
# ----------------- PLOT LAYOUT -------------------------- #
layout_1 = layout(
children=[
[plot_1, plot_2],
],
sizing_mode='fixed',
)
curdoc().add_root(layout_1)
In fact, Bryan (bokeh developer) told me on the chat
I was going to actually answer that default tool activation and grid plots had never been considered together and was not supported yet, tho if you have found something that works for your specific use case that's probably the best possible. As you say it's not generally the case that users should have to work with toolbars directly, they are finicky for a number of reasons.