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75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
''' Present an interactive function explorer with slider widgets.
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Scrub the sliders to change the properties of the ``sin`` curve, or
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type into the title text box to update the title of the plot.
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Use the ``bokeh serve`` command to run the example by executing:
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bokeh serve sliders.py
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at your command prompt. Then navigate to the URL
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http://localhost:5006/sliders
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in your browser.
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'''
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import numpy as np
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from bokeh.io import curdoc
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from bokeh.layouts import column, row
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from bokeh.models import ColumnDataSource, Slider, TextInput
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from bokeh.plotting import figure
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# Set up data
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N = 200
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x = np.linspace(0, 4*np.pi, N)
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y = np.sin(x)
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source = ColumnDataSource(data=dict(x=x, y=y))
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# Set up plot
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plot = figure(plot_height=400, plot_width=400, title="my sine wave",
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tools="crosshair,pan,reset,save,wheel_zoom",
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x_range=[0, 4*np.pi], y_range=[-2.5, 2.5])
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plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)
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# Set up widgets
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text = TextInput(title="title", value='my sine wave')
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offset = Slider(title="offset", value=0.0, start=-5.0, end=5.0, step=0.1)
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amplitude = Slider(title="amplitude", value=1.0, start=-5.0, end=5.0, step=0.1)
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phase = Slider(title="phase", value=0.0, start=0.0, end=2*np.pi)
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freq = Slider(title="frequency", value=1.0, start=0.1, end=5.1, step=0.1)
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# Set up callbacks
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def update_title(attrname, old, new):
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plot.title.text = text.value
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text.on_change('value', update_title)
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def update_data(attrname, old, new):
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# Get the current slider values
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a = amplitude.value
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b = offset.value
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w = phase.value
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k = freq.value
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# Generate the new curve
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x = np.linspace(0, 4*np.pi, N)
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y = a*np.sin(k*x + w) + b
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source.data = dict(x=x, y=y)
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for w in [offset, amplitude, phase, freq]:
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w.on_change('value', update_data)
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# Set up layouts and add to document
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inputs = column(text, offset, amplitude, phase, freq)
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curdoc().add_root(row(inputs, plot, width=800))
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curdoc().title = "Sliders" |