Bokeh：使用按钮单击从多个滑块更新

Question

目标-当我准备进行更新时，我想在THEN上滑动滑块，请按按钮根据当前滑块所在的位置来更新值。

以下是从Bokeh网站上借来的示例。理想情况下，我想更改滑块参数，然后在准备好全部更新时，单击按钮，让所有滑块更新并显示更改。此过程将一遍又一遍地重复。我已经尝试了以下方法，但没有得到想要的结果。

import numpy as np

from bokeh.io import curdoc,output_file, show
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource, Slider, TextInput, Button
from bokeh.plotting import figure

# Set up data
N = 200
x = np.linspace(0, 4*np.pi, N)
y = np.sin(x)
source = ColumnDataSource(data=dict(x=x, y=y))


# Set up plot
plot = figure(plot_height=400, plot_width=400, title="my sine wave",
              tools="crosshair,pan,reset,save,wheel_zoom",
              x_range=[0, 4*np.pi], y_range=[-2.5, 2.5])

plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)


# Set up widgets
text = TextInput(title="title", value='my sine wave')
offset = Slider(title="offset", value=0.0, start=-5.0, end=5.0, step=0.1)
amplitude = Slider(title="amplitude", value=1.0, start=-5.0, end=5.0, step=0.1)
phase = Slider(title="phase", value=0.0, start=0.0, end=2*np.pi)
freq = Slider(title="frequency", value=1.0, start=0.1, end=5.1, step=0.1)
button = Button(label="Update Changes", button_type="success")


# Set up callbacks
def update_title(attrname, old, new):
    plot.title.text = text.value

text.on_change('value', update_title)

def update_data(attrname, old, new):

    # Get the current slider values
    a = amplitude.value
    b = offset.value
    w = phase.value
    k = freq.value

    # Generate the new curve
    x = np.linspace(0, 4*np.pi, N)
    y = a*np.sin(k*x + w) + b

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

def update():
    for w in [offset, amplitude, phase, freq]:
        w.on_change('value', update_data)


button.on_click(update)

# Set up layouts and add to document
inputs = column(text, offset, amplitude, phase, freq, button)

curdoc().add_root(row(inputs, plot, width=800))

Answer 1

删除在滑块更改时设置回调的代码（因为您不希望这样做），而是从按钮调用update_data（在适当地更新了回调函数签名之后：]

def update_data():

    # Get the current slider values
    a = amplitude.value
    b = offset.value
    w = phase.value
    k = freq.value

    # Generate the new curve
    x = np.linspace(0, 4*np.pi, N)
    y = a*np.sin(k*x + w) + b

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

button.on_click(update_data)