无法从Bokeh RadioButtonGroup获得回复

Question

我试图了解如何使用Bokeh和CustomJS以及Python函数在RadioButtonGroup中使用交互性。我已经调整the example provided at the Bokeh site来绘制y = x ^ f。我没有使用滑块作为功率f，而是想在两个幂之间切换，f = 0.5和f = 0.2。我已经按照手册并使用Jupyter笔记本在我的代码中插入了RadioButtonGroup。按钮显示和响应，但我无法通过切换按钮获得任何回调响应。

任何帮助将不胜感激。

＆＃13;

＆＃13;

from math import pi

from bokeh.io import output_file, show
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, CustomJS, Slider, TextInput, RadioButtonGroup
from bokeh.plotting import Figure, output_notebook

output_notebook()

x = [x*0.005 for x in range(0, 200)]
y = x

source = ColumnDataSource(data=dict(x=x, y=y))

plot = Figure(plot_width=400, plot_height=400)
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)

def callback(source=source, input1=input1, window=None):
    data = source.data
    m= input1.active
    if m==0:
        f=.5
    else:
        f=2
        
    x, y = data['x'], data['y']
    for i in range(len(x)):
        y[i] = window.Math.pow(x[i], f)
    source.trigger('change')

input1 = RadioButtonGroup(labels=["power = .5", "power = 2."], active=0)

input1.button_type="success"
input1.js_on_change('active', CustomJS.from_py_func(callback))

layout = column(input1, plot)

show(layout)

＆＃13;

＆＃13;

＆＃13;

Answer 1

我无法让bokeh.models.RadioButtonGroup生成回调，但bokeh.models.RadioGroup我可以（我使用散景版0.12.4）也许新版本可以促使RadioButtonGroup生成打回来）。此外，您在声明之前引用input1。它不需要作为回调函数的输入，你可以使用cb_obj。参见：

import bokeh
import bokeh.plotting

bokeh.io.output_notebook()

x = [x*0.005 for x in range(0, 200)]
y = x

source = bokeh.models.ColumnDataSource(data=dict(x=x, y=y))

plot = bokeh.plotting.figure(plot_width=400, plot_height=400)
plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)

def callback(source=source, window=None):
    data = source.data
    m = cb_obj.active
    if m==0:
        f=.5
    else:
        f=2

    x, y = data['x'], data['y']
    for i in range(len(x)):
        y[i] = window.Math.pow(x[i], f)
    source.trigger('change')

input1 = bokeh.models.RadioGroup(labels=["power = .5", "power = 2."],active=0,
                   callback=bokeh.models.CustomJS.from_py_func(callback))

layout = bokeh.layouts.column(input1, plot)

bokeh.io.show(layout)