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import panel as pn | |
import numpy as np | |
import pandas as pd | |
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(height=400, 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) | |
# 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) | |
for w in [offset, amplitude, phase, freq]: | |
w.on_change('value', update_data) | |
# Set up layouts and add to document | |
inputs = column(text, offset, amplitude, phase, freq) | |
bokeh_app = pn.pane.Bokeh(row(inputs, plot, width=800)) | |
bokeh_app.servable() |