您可以在
callback上使用，以使用
ColumnDataSource所选数据的索引更新Python变量：
%matplotlib inlineimport numpy as npfrom random import choicefrom string import ascii_lowercasefrom bokeh.models.tools import *from bokeh.plotting import *from bokeh.models import CustomJSoutput_notebook()TOOLS="pan,wheel_zoom,reset,hover,poly_select,box_select"p = figure(title = "My chart", tools=TOOLS)p.xaxis.axis_label = 'X'p.yaxis.axis_label = 'Y'source = ColumnDataSource( data=dict( xvals=list(range(0, 10)), yvals=list(np.random.normal(0, 1, 10)), letters = [choice(ascii_lowercase) for _ in range(10)] ))p.scatter("xvals", "yvals",source=source,fill_alpha=0.2, size=5)select_tool = p.select(dict(type=BoxSelectTool))[0]source.callback = CustomJS(args=dict(p=p), pre=""" var inds = cb_obj.get('selected')['1d'].indices; var d1 = cb_obj.get('data'); console.log(d1) var kernel = IPython.notebook.kernel; IPython.notebook.kernel.execute("inds = " + inds); """)show(p)然后，您可以使用类似的方法访问所需的数据属性
zip([source.data['xvals'][i] for i in inds], [source.data['yvals'][i] for i in inds])
