iancze/frame.html

## frame.html
<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <title>Test plot</title>
    </head>
    <body>
    <div id="9fe4daf9-51ec-4a04-a625-d9d6c84217a9">
<script
    src="static/js/9fe4daf9-51ec-4a04-a625-d9d6c84217a9.js"
    id="59f4cb89-3999-476e-b338-ec5f0b321d90"
    async="true"
    data-bokeh-data="static"
    data-bokeh-modelid="9fe4daf9-51ec-4a04-a625-d9d6c84217a9"
    data-bokeh-modeltype="Plot"
></script>
        </div>
    </body>
</html>

## test_plot.py
#!/usr/bin/env python
import numpy as np

import bokeh
import bokeh.plotting as bplt
from bokeh.resources import Resources
from bokeh.embed import autoload_static


def make_snippet(plot):
    js_static_js = "static/js/"
    js_static_css = "static/css/"
    js_filename = plot._id + ".js"
    js_path = js_static_js + js_filename

    res = Resources("server")
    res.js_files = [js_static_js + "bokeh.min.js"]
    res.css_files = [js_static_css + "bokeh.min.css"]

    js, tag = autoload_static(plot, res, js_path)

    with open(js_path, "w") as f:
        f.write(js)
    print("Wrote %s" % js_path)

    return tag, plot._id

#Generate random data
xs = np.linspace(0, 10, num=50)
ys = np.random.normal(size=(50,))

bplt.output_file("image.html", title="Test Plot", mode="relative")
bplt.hold()

bplt.figure(title="Test Plot",
       tools="pan,wheel_zoom,box_zoom,reset,previewsave,select",
       plot_width=800, plot_height=300)

plot = bplt.line(xs , ys, line_width=1.5, legend="Random Data", color="blue")

tag1, id1 = make_snippet(plot)
with open("tag.txt", "w") as f:
    f.write(tag1)

with open("id.txt", "w") as f:
    f.write(id1)

bplt.show()
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Test plot</title>
	</head>
	<body>
	<div id="9fe4daf9-51ec-4a04-a625-d9d6c84217a9">
	<script
	src="static/js/9fe4daf9-51ec-4a04-a625-d9d6c84217a9.js"
	id="59f4cb89-3999-476e-b338-ec5f0b321d90"
	async="true"
	data-bokeh-data="static"
	data-bokeh-modelid="9fe4daf9-51ec-4a04-a625-d9d6c84217a9"
	data-bokeh-modeltype="Plot"
	></script>
	</div>
	</body>
	</html>
	#!/usr/bin/env python
	import numpy as np

	import bokeh
	import bokeh.plotting as bplt
	from bokeh.resources import Resources
	from bokeh.embed import autoload_static


	def make_snippet(plot):
	js_static_js = "static/js/"
	js_static_css = "static/css/"
	js_filename = plot._id + ".js"
	js_path = js_static_js + js_filename

	res = Resources("server")
	res.js_files = [js_static_js + "bokeh.min.js"]
	res.css_files = [js_static_css + "bokeh.min.css"]

	js, tag = autoload_static(plot, res, js_path)

	with open(js_path, "w") as f:
	f.write(js)
	print("Wrote %s" % js_path)

	return tag, plot._id

	#Generate random data
	xs = np.linspace(0, 10, num=50)
	ys = np.random.normal(size=(50,))

	bplt.output_file("image.html", title="Test Plot", mode="relative")
	bplt.hold()

	bplt.figure(title="Test Plot",
	tools="pan,wheel_zoom,box_zoom,reset,previewsave,select",
	plot_width=800, plot_height=300)

	plot = bplt.line(xs , ys, line_width=1.5, legend="Random Data", color="blue")

	tag1, id1 = make_snippet(plot)
	with open("tag.txt", "w") as f:
	f.write(tag1)

	with open("id.txt", "w") as f:
	f.write(id1)

	bplt.show()