import numpy as np
from bokeh.layouts import column, grid
from bokeh.models import ColumnDataSource, CustomJS, Slider
from bokeh.plotting import figure, show
def bollinger():
upperband = np.random.randint(100, 150+1, size=100)
lowerband = upperband - 100
x_data = np.arange(1, 101)
band_x = np.append(x_data, x_data[::-1])
band_y = np.append(lowerband, upperband[::-1])
p = figure(width=800, height=600, x_axis_type='datetime', tools='pan')
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.grid.grid_line_alpha = 0.4
return [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)
amp = Slider(start=0.1, end=10, value=1, step=.1, title="Amplitude")
freq = Slider(start=0.1, end=10, value=1, step=.1, title="Frequency")
phase = Slider(start=0, end=6.4, value=0, step=.1, title="Phase")
offset = Slider(start=-5, end=5, value=0, step=.1, title="Offset")
callback = CustomJS(args=dict(source=source, amp=amp, freq=freq, phase=phase, offset=offset),
code="""
const A = amp.value
const k = freq.value
const phi = phase.value
const B = offset.value
const x = source.data.x
const y = Array.from(x, (x) => B + A*Math.sin(k*x+phi))
source.data = {x, y}
""")
amp.js_on_change('value', callback)
freq.js_on_change('value', callback)
phase.js_on_change('value', callback)
offset.js_on_change('value', callback)
widgets = column(amp, freq, phase, offset, sizing_mode="stretch_width")
return [widgets, plot]
def linked_panning():
x = np.linspace(0, 4 * np.pi, 100)
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.sin(x) + np.cos(x)
s1 = figure(tools='pan')
s1.scatter(x, y1, color="navy", size=8, alpha=0.5)
s2 = figure(tools='pan', x_range=s1.x_range, y_range=s1.y_range)
s2.scatter(x, y2, color="firebrick", size=8, alpha=0.5)
s3 = figure(tools='pan, box_select', x_range=s1.x_range)
s3.scatter(x, y3, color="olive", size=8, alpha=0.5)
return [s1, s2, s3]
l = grid([bollinger(), slider(), linked_panning()],
sizing_mode='stretch_both')
show(l)
