Offset_slider. Try out the effect of these parameters interactively: pn. now just your basic if statement to handle either case Controls The TextInput widget exposes a number of options which can be changed from both Python and Javascript. so we can figure out what's being altered (i.e the slider or the text) via the name attribute attached to cb_obj useful: built into CustomJS funcs is the cb_obj variable, which refers to the object that is being altered/used Thecallback = CustomJS(args=dict(source=source,os=offset_slider,ot=offset_text), Offset_text = TextInput(value="0.1", title="offsettext",name='textyboi') Offset_slider = Slider(start=-5, end=5, value=0, step=1, title="Offsetslider",name='slideyboi') #adding "name" attributes to the models can really help identify them later. My solution is to use/abuse the “name” attribute (which is available on all bokeh models AFAIK). The tricky part with making it “one callback” is that you need a way to identify what widget was changed, and then update the other one. That’s totally possible to do (and my solution below does that), but you COULD simplify things by creating two callbacks, one to execute when the slider changes, and one to execute when the text input changes. The second thing is the callback code itself → you are really trying to make the function work for both cases: one) where user changes text input you want the slider to update, and two) where user changes slider you want the text to update. For more information about configuring a tooltip on a plot with the HoverTool, see the Basic Tooltips section for more information. This tool uses Bokeh’s generic tooltip object behind the scenes, but contains many additional, topics features. With CustomJS, you don’t need to embed it in a python function, you just assign the callback to the widget via js_on_change. Use the hover tool in case you want to display tooltips on hover over certain areas of a plot. ALL software version info (bokeh, python, notebook, OS, browser, any other relevant packages) bokeh 0.13.0, Safari, MacOSX High Sierra Description of expected behavior and the observed behavior I h. The biggest thing is that you’re mixing up python-callbacks with CustomJS callbacks. Layout = row(plot,column(offset_slider,offset_text)) Offset_text.js_on_change('value', thecallback(offset_text)) Offset_slider.js_on_change('value', thecallback(offset_slider)) Return CustomJS(args=dict(source=source, offset=offset_type), Offset_text = TextInput(value="0.1", title="offsettext") Offset_slider = Slider(start=-5, end=5, value=0, step=1, title="Offsetslider") Plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6) Source = ColumnDataSource(data=dict(x=x, y=y)) See examples/models/widgets.Hi the situation where I am … import numpy as npįrom bokeh.models import CustomJS, Sliderįrom otting import ColumnDataSource, figure, showįrom import TextInput ![]() The Menu model allows you to define a custom context For example, theĭialog model allows you to define a dialog overlay, while Other UI elements #īokeh also supports additional UI elements that you can use to add more You have two options to identify an UI element to the targetĪn instance of one of the selectors models representingĪ CSS selector for the element you want to attach the tooltip toĪfter defining your Tooltip object and specifying the target, you need to add ![]() Use the target property of a Tooltip object to link this tooltip to an In addition to adding tooltips to elements that explicitly support it, you can also add tooltips to Adding tooltips to arbitrary UI elements # From bokeh.io import show from bokeh.layouts import row from bokeh.models import HelpButton, RadioButtonGroup, Tooltip LABELS = radio_button_group = RadioButtonGroup ( labels = LABELS, active = 0 ) tooltip = Tooltip ( content = f "Select one of the following options: ", position = "right" ) help_button = HelpButton ( tooltip = tooltip ) show ( row ( radio_button_group, help_button ))
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