Wildcarde · February 7, 2023 21:15 · ghost · Sep 18, 2017 · dmitriidatsenko · Sep 28, 2017
diff --git a/01_Readme.md b/01_Readme.md
diff --git a/bokeh-sliders.py b/bokeh-sliders.py
 ''' 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 row, widgetbox
 from bokeh.models import ColumnDataSource
 from bokeh.models.widgets import 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)
 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)


 # 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 = widgetbox(text, offset, amplitude, phase, freq)

 curdoc().add_root(row(inputs, plot, width=800))
 curdoc().title = "Sliders"
diff --git a/hello.html b/hello.html
 <html>
 <head>
    <title>Website</title>
 <style>
 @import url(http://fonts.googleapis.com/css?family=Amatic+SC:700);



 body{
    text-align: center;
 }
 h1{
    font-family: 'Amatic SC', cursive;
    font-weight: normal;
    color: #8ac640;
    font-size: 2.5em;
 }

 </style>

 </head>
 <body>
 <p>Flask embedding Bokeh test</p>
 {{ bokS|indent(4)|safe }}

 </body>
 </html>
diff --git a/hello.py b/hello.py
 from flask import Flask, flash, redirect, render_template, request, session, abort
 from bokeh.embed import autoload_server
 app = Flask(__name__)

 @app.route("/")
 def hello():
    script=autoload_server(model=None,app_path="/bokeh-sliders",url="http://localhost:5006")
    return render_template('hello.html',bokS=script)

 if __name__ == "__main__":
    app.run()
	''' 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 row, widgetbox
	from bokeh.models import ColumnDataSource
	from bokeh.models.widgets import 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)
	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)


	# 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 = anp.sin(kx + 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 = widgetbox(text, offset, amplitude, phase, freq)

	curdoc().add_root(row(inputs, plot, width=800))
	curdoc().title = "Sliders"
	<html>
	<head>
	<title>Website</title>
	<style>
	@import url(http://fonts.googleapis.com/css?family=Amatic+SC:700);



	body{
	text-align: center;
	}
	h1{
	font-family: 'Amatic SC', cursive;
	font-weight: normal;
	color: #8ac640;
	font-size: 2.5em;
	}

	</style>

	</head>
	<body>
	<p>Flask embedding Bokeh test</p>
	{{ bokS\|indent(4)\|safe }}

	</body>
	</html>
	from flask import Flask, flash, redirect, render_template, request, session, abort
	from bokeh.embed import autoload_server
	app = Flask(__name__)

	@app.route("/")
	def hello():
	script=autoload_server(model=None,app_path="/bokeh-sliders",url="http://localhost:5006")
	return render_template('hello.html',bokS=script)

	if __name__ == "__main__":
	app.run()