frombokeh.ioimportoutput_file,showfrombokeh.modelsimportColumnDataSource,Selectfrombokeh.plottingimportfigurefrombokeh.layoutsimportcolumnfrombokeh.sampledata.irisimportdata# 创建ColumnDataSourcesource=ColumnDataSource(data)# 创建选择下拉框select=Select(title="Species",options=list(data.species.unique()),value...
callback和CustomJS/js_on_change从dict中按列值筛选行来更改数据源文章背景：Excel二维表中记录着多行...
p.add_glyph(source, rect, selection_glyph=rect, nonselection_glyph=rect) p.js_on_event(SelectionGeometry, callback) show(p) cb_data 回调代码可用的cb_data参数将包含两个HoverTool 特定的字段: index:包含数据源中悬停点的索引 const indices = cb_data.index.indices geometry:包含悬停光标处的坐标 co...
问把Bokeh的选择记在笔记本上EN要在图中选择一些点并在木星笔记本中检索它们，您可以使用CustomJS回调。
allows the user to define a rectangular selection region by left-dragging a mouse LassoSelectTool name: 'lasso_select allows the user to define an arbitrary region for selection by left-dragging a mouse PanTool name: 'pan', 'xpan', 'ypan', allows the user to pan the plot by left...
(source, rect, selection_glyph=rect, nonselection_glyph=rect) # Python side event to display the contents of the Rectangle glyphs data_source.data object # This also adds a new Rectangle that should appear in the chart def button_click_event(): print("Button was pushed") # data = copy...
bokeh.events.SelectionGeometry(3) bokeh.ext.build(2) bokeh.io.reset_output(2) bokeh.layouts.Spacer(2) bokeh.model.Model(40) bokeh.models.Arrow(3) bokeh.models.BoxAnnotation(9) bokeh.models.Button(28) bokeh.models.CellEditor(1) bokeh.models.ColorBar(29) ...
selected.on_change('indices', selection_change) Powered By In the callback section, the first and second functions define the callback for ticker 1 and ticker 2, respectively. The update() function updates the plots whenever the user selects a different combination of tickers; the update_...
- #9267 [component: bokehjs] [bug] range_tool selection is over-responsive in y direction - #9309 [API: models] [component: docs] [bug] documentation panels empty - #9317 [regression] [bug] splattable lists no longer allow using list-like methods ...
circle('x', 'y', size=1, source=s1, color=None, selection_color="red") p2 = figure( x_range=p1.x_range, y_range=(-1, 1), plot_width=400, plot_height=400, tools=bokeh_tool_list, title="Watch here catched points", tooltips=bokeh_tool_tips, name="p2", ) p2.circle('x'...