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在bokeh官网关于Laying out Plots andWidgets的介绍中，引出一个关于boarddash的例子，在该例子中介绍了
- bokeh.layouts模块中的layout
- bokeh.models模块中的CustomJS、Slider、ColumnDataSource、WidgetBox
layout的作用是将不同的图像按照不同的样式来摆放。
CustomJS的作用是引入JavaScript代码。
Slider的作用是引入可以调节值大小的滑块，下图第二行左侧的四个滑块：Amplitude、Frequency、Phase、Offset。
为了将这四个滑块组件组合起来，使用WidgetBox可以将不同的组件组合起来。
源码为：
import numpy as npfrom bokeh.layouts import layout
from bokeh.models import CustomJS, Slider, ColumnDataSource, WidgetBox
from bokeh.plotting import figure, output_file, showoutput_file('dashboard.html')tools = 'pan'def bollinger():# Define Bollinger Bands.upperband = np.random.random_integers(100, 150, size=100)lowerband = upperband - 100x_data = np.arange(1, 101)# Bollinger shading glyph:band_x = np.append(x_data, x_data[::-1])band_y = np.append(lowerband, upperband[::-1])p = figure(x_axis_type='datetime', tools=tools)p.patch(band_x, band_y, color='#7570B3', fill_alpha=0.2)p.title.text = 'Bollinger Bands'p.title_location = 'left'p.title.align = 'left'p.plot_height = 600p.plot_width = 800p.grid.grid_line_alpha = 0.4return [p]def slider():x = np.linspace(0, 10, 100)y = np.sin(x)source = ColumnDataSource(data=dict(x=x, y=y))plot = figure(y_range=(-10, 10), tools='', toolbar_location=None,title="Sliders example")plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)callback = CustomJS(args=dict(source=source), code="""var data = source.data;var A = amp.value;var k = freq.value;var phi = phase.value;var B = offset.value;var x = data['x']var y = data['y']for (var i = 0; i < x.length; i++) {y[i] = B + A*Math.sin(k*x[i]+phi);}source.change.emit();""")amp_slider = Slider(start=0.1, end=10, value=1, step=.1, title="Amplitude", callback=callback, callback_policy='mouseup')callback.args["amp"] = amp_sliderfreq_slider = Slider(start=0.1, end=10, value=1, step=.1, title="Frequency", callback=callback)callback.args["freq"] = freq_sliderphase_slider = Slider(start=0, end=6.4, value=0, step=.1, title="Phase", callback=callback)callback.args["phase"] = phase_slideroffset_slider = Slider(start=-5, end=5, value=0, step=.1, title="Offset", callback=callback)callback.args["offset"] = offset_sliderwidgets = WidgetBox(amp_slider, freq_slider, phase_slider, offset_slider)return [widgets, plot]def linked_panning():N = 100x = np.linspace(0, 4 * np.pi, N)y1 = np.sin(x)y2 = np.cos(x)y3 = np.sin(x) + np.cos(x)s1 = figure(tools=tools)s1.circle(x, y1, color="navy", size=8, alpha=0.5)s2 = figure(tools=tools, x_range=s1.x_range, y_range=s1.y_range)s2.circle(x, y2, color="firebrick", size=8, alpha=0.5)s3 = figure(tools='pan, box_select', x_range=s1.x_range)s3.circle(x, y3, color="olive", size=8, alpha=0.5)return [s1, s2, s3]l = layout([bollinger(),slider(),linked_panning(),
], sizing_mode='stretch_both')show(l)这篇关于[python]bokeh学习总结——dashboard例子学习的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
