Bokeh missing plots in IPython notebook

Question

Maintainers note: this question is obsolete. Calling multiple glyph methods on a figure automatically combines (and has for many years). For information on modern Bokeh, see:

https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html

OBSOLETE:

I am running the Bokeh tutorial in the IPython notebook. It only displays the scatter plot and not the line plot. From the command-line it renders both plots separately.

How do I get both graphs in the same chart, on top of each other?

import numpy as np
import bokeh.plotting as bplt
bplt.output_file("bokehtest.html")
#bplt.output_notebook(url=None)
x = np.linspace(-2*np.pi, 2*np.pi, 100)
y = np.cos(x)
bplt.line(x, y, color="red")
bplt.scatter(x, y, marker="square", color="blue")
bplt.show()

@Jack, "bokeh" is a photography term hijacked by the library. There are plenty of questions about image processing and creating the bokeh effect here. Without something to specify that it's a library in Python, people are going to abuse it. Remember, nobody actually reads wiki excerpts... — Charles
– Charles, Commented Dec 12, 2013 at 3:17
@Charles You didn't filter out answers from that list; and only a handful of the remaining questions actually talk about the effect itself. — Ja͢ck
– Ja͢ck, Commented Dec 12, 2013 at 3:31

Valeriy Van · Accepted Answer · 2023-09-28 03:45:03Z

3

OBSOLETE ANSWER: see https://docs.bokeh.org/en/latest/docs/user_guide/output/jupyter.html#jupyter-interactors* for modern Bokeh

You just need to call bplt.hold() before any of the plotting commands, to toggle the "hold state". The following code works for me:

import numpy as np
import bokeh.plotting as bplt
bplt.output_file("bokehtest.html")
#bplt.output_notebook(url=None)
x = np.linspace(-2*np.pi, 2*np.pi, 100)
y = np.cos(x)
bplt.hold()  # <--- The important line!!
bplt.line(x, y, color="red")
bplt.scatter(x, y, marker="square", color="blue")
bplt.show()

edited Sep 28, 2023 at 3:45

Valeriy Van

1,86416 silver badges19 bronze badges

answered Mar 22, 2014 at 6:16

Peter Wang

1,63810 silver badges14 bronze badges

Sign up to request clarification or add additional context in comments.

1 Comment

Valeriy Van Over a year ago

Page by URL for answer for modern Bokeh shows 404.

bigreddot · Accepted Answer · 2019-11-23 07:07:36Z

1

OBSOLETE ANSWER: see https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html for modern Bokeh

Try using the figure command like in this example:

import numpy as np
import bokeh.plotting as bplt
bplt.output_file("bokehtest.html")
x = np.linspace(-2*np.pi, 2*np.pi, 100)
y = np.cos(x)

bplt.figure()
bplt.line(x, y, color="red")
bplt.scatter(x, y, marker="square", color="blue")
bplt.show()

edited Nov 23, 2019 at 7:07

bigreddot

34.8k5 gold badges73 silver badges128 bronze badges

answered Dec 11, 2013 at 20:57

Paul H

68.7k23 gold badges165 silver badges139 bronze badges

1 Comment

john mangual Over a year ago

No... right now I have them in the same cell and they come out in two different charts.

Collectives™ on Stack Overflow

Bokeh missing plots in IPython notebook

2 Answers 2

1 Comment

1 Comment

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

2 Answers 2

1 Comment

1 Comment

Your Answer

Sign up or log in

Post as a guest

Related