python - 在 python Bokeh 图中动态链接 Span 和 Slider

Question

我正在尝试使用 bokeh 在 python 中创建绘图，允许动态可视化 bin 中的数据。值得知道的是，我对 python 比较陌生，对 bokeh 非常陌生，而且我知道零 javascript。我咨询过这个:

Link a Span or Cursor in between plots with Bokeh in Python

还有这个:

http://docs.bokeh.org/en/latest/docs/user_guide/interaction/callbacks.html

但是我在实现每一个的必要部分时遇到了麻烦。这是我在添加请求的功能之前的代码:

from bokeh.layouts import column, widgetbox
from bokeh.models.widgets import Slider
from bokeh.models import Span, CustomJS

output_file('Raw_Spectra_and_Spillover_Data.html')

# widgets for bin setup
Pix1_LowLow = Slider(start = self.StartDAC, end = self.EndDAC, value = 129, step = 1, title = 'Pixel-1 - Low Bin - Low Thresh')
Pix1_LowHigh = Slider(start = self.StartDAC, end = self.EndDAC, value = 204, step = 1, title = 'Pixel-1 - Low Bin - High Thresh')
Pix1_HighLow = Slider(start = self.StartDAC, end = self.EndDAC, value = 218, step = 1, title = 'Pixel-1 - High Bin - Low Thresh')
Pix1_HighHigh = Slider(start = self.StartDAC, end = self.EndDAC, value = 500, step = 1, title = 'Pixel-1 - High Bin - High Thresh')

plot1spect = figure(width=700, height=250, title='pixel-1 Spectrum')
plot1spect.line(self.SpectDACvals1[0], self.SpectrumData1[0], line_width=2)
plot1spect_LowLowSpan = Span(location=Pix1_LowLow.value, dimension = 'height')
plot1spect_LowHighSpan = Span(location=Pix1_LowHigh.value, dimension = 'height')
plot1spect_HighLowSpan = Span(location=Pix1_HighLow.value, dimension = 'height')
plot1spect_HighHighSpan = Span(location=Pix1_HighHigh.value, dimension = 'height')
plot1spect.renderers.extend([plot1spect_LowLowSpan, plot1spect_LowHighSpan, plot1spect_HighLowSpan, plot1spect_HighHighSpan])

plot1spill = figure(width=700, height=250, title='pixel-1 Spillover')
plot1spill.line(self.SpillDACvals1[0], self.SpillData1[0], line_width=2)
plot1spill_LowLowSpan = Span(location=Pix1_LowLow.value, dimension = 'height')
plot1spill_LowHighSpan = Span(location=Pix1_LowHigh.value, dimension = 'height')
plot1spill_HighLowSpan = Span(location=Pix1_HighLow.value, dimension = 'height')
plot1spill_HighHighSpan = Span(location=Pix1_HighHigh.value, dimension = 'height')
plot1spill.renderers.extend([plot1spill_LowLowSpan, plot1spill_LowHighSpan, plot1spill_HighLowSpan, plot1spill_HighHighSpan])

show(row(plot1spect,plot1spill, widgetbox(Pix1_LowLow, Pix1_LowHigh, Pix1_HighLow, Pix1_HighHigh)))

这段代码给了我这个:

如果有人可以告诉我如何获取 Pix1_LowLow slider 来动态控制 plot1spect_LowLowSpan 的位置，那么我可以将该技术扩展到其他 slider 和跨度。非常感谢!

python 3.5.2 - Bokeh 12.0

Answer 1

这是一个最小的完整示例。请注意，添加注释(如 Span)的推荐方法是使用 plot.add_layout，如下所示:

from bokeh.layouts import row, widgetbox
from bokeh.models import Slider, Span, CustomJS
from bokeh.plotting import figure, output_file, show

slider = Slider(start=0, end=10, value=3, step=0.1, title='Slider')

plot = figure(width=700, height=250, x_range=(0,10), y_range=(-1, 1))
span = Span(location=slider.value, dimension='height')
plot.add_layout(span)

callback = CustomJS(args=dict(span=span), code="""
    span.location = cb_obj.value
""")
slider.js_on_change('value', callback)

output_file('span_slider.html')

show(row(plot, widgetbox(slider)))