calculator / optimal_training /bokeh_test.py
teven's picture
changing paths
fadd15c
''' Present an interactive function explorer with slider widgets.
Scrub the sliders to change the properties of the ``sin`` curve, or
type into the title text box to update the title of the plot.
Use the ``bokeh serve`` command to run the example by executing:
bokeh serve sliders.py
at your command prompt. Then navigate to the URL
http://localhost:5006/sliders
in your browser.
'''
import numpy as np
from bokeh.io import curdoc
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource, Slider, TextInput
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)
slider_moves = {"offset": 0, "amplitude": 0, "phase": 0, "freq": 0}
# 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 offset_force(attrname, old, new):
slider_moves["offset"] += 1
if slider_moves["amplitude"] < slider_moves["offset"]:
a = amplitude.value = offset.value
w = phase.value = offset.value
k = freq.value = offset.value
b = offset.value
x = np.linspace(0, 4 * np.pi, N)
y = a * np.sin(k * x + w) + b
source.data = dict(x=x, y=y)
def amp_force(attrname, old, new):
slider_moves["amplitude"] += 1
if slider_moves["offset"] < slider_moves["amplitude"]:
b = offset.value = amplitude.value * 2
w = phase.value = amplitude.value * 2
k = freq.value = amplitude.value * 2
a = amplitude.value
x = np.linspace(0, 4 * np.pi, N)
y = a * np.sin(k * x + w) + b
source.data = dict(x=x, y=y)
for w in [phase, freq]:
w.on_change('value', update_data)
offset.on_change('value', offset_force)
amplitude.on_change('value', amp_force)
# Set up layouts and add to document
inputs = column(text, offset, amplitude, phase, freq)
curdoc().add_root(row(inputs, plot, width=800))
curdoc().title = "Sliders"