Archived discussions · Captured October 28, 2026

server plotting: blank figure the second time

mahe.perretteAug 05, 2014 #1

Hi, thanks for the good work, this project is impressive and I can think of many great uses in the climate science world.

I’m in the process of learning how to use it, and I just bumped into something weird.

I’ve put together a simple scatter plot example using Glyphs to illustrate that (attached).

$ bokeh-server # is launched, then in a new terminal

$ python test_server.py

Then visiting the link http://localhost:5006/bokeh/doc/…, everything looks as expected.

But if I execute python test_server.py a second time, the plot becomes blank (well, only the data part of it, the title and - I also tried - the tools still appears).

Restarting the bokeh server does not help.

I need to change the document name (session.use_doc) to make it work.

I could put a 10 digits random number generator for the document name, but there is probably a better solution

Any hint?

Sorry if I am missing something obvious, I am not at all familiar with web protocols, and already spend some time tracking down the problem to document name…

Thanks !

test_server.py (962 Bytes)

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mahe.perretteAug 05, 2014 #2

I should have mentioned, I’m using version 0.5.1, compiled from source with python setup.py install, Ubuntu 14.04

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mahe.perretteAug 05, 2014 #3

Here a slightly more advanced version with a text input box, using embed.autoload_server
Same story, the version I attached only works the first time (the plot also refreshes correctly when the seed text box is updated).

But if I stop the loop (Ctrl+C) and start it again. The drawing area of the plot will be blank.

Now something new : if I close the plot (clicking on “Close All Plots”) then execute the script again, the plot will show up correctly again.

I’m going to look for a way of doing that automatically.

The strange thing is that I did not encounter this problem in the bokeh examples (e.g. taylor_server.py runs fine regardless of how often I started it)

Would be great to hear what you think might hide under this…

test_server.py (2.25 KB)

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On Tuesday, August 5, 2014 12:20:11 PM UTC+2, mahe.p...@gmail.com wrote:

Hi, thanks for the good work, this project is impressive and I can think of many great uses in the climate science world.

I’m in the process of learning how to use it, and I just bumped into something weird.

I’ve put together a simple scatter plot example using Glyphs to illustrate that (attached).

$ bokeh-server # is launched, then in a new terminal

$ python test_server.py

Then visiting the link http://localhost:5006/bokeh/doc/…., everything looks as expected.

But if I execute python test_server.py a second time, the plot becomes blank (well, only the data part of it, the title and - I also tried - the tools still appears).

Restarting the bokeh server does not help.

I need to change the document name (session.use_doc) to make it work.

I could put a 10 digits random number generator for the document name, but there is probably a better solution

Any hint?

Sorry if I am missing something obvious, I am not at all familiar with web protocols, and already spend some time tracking down the problem to document name…

Thanks !

M

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mahe.perretteAug 05, 2014 #4

Ok, apparently this has to do with the initialization of the Circle Glyph.
Passing a few arguments like radius=0.1, fill_color=‘blue’ solves the issue.

I guess this is a bug.

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BryanAug 05, 2014 #5

Mahe,

It's quite possible, can you submit a Github issue with this information and any code to reproduce that you can share?

Thanks!

Bryan

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On Aug 5, 2014, at 12:38 PM, mahe.perrette@gmail.com wrote:

Ok, apparently this has to do with the initialization of the Circle Glyph.
Passing a few arguments like radius=0.1, fill_color='blue' solves the issue.
I guess this is a bug.

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mahe.perretteAug 05, 2014 #6

Hi Bryan,

ok, I just did

github.com/bokeh/bokeh

Circle Glyph bug on if fill_color is not passed

opened 12:26PM - 05 Aug 14 UTC

closed 11:00AM - 11 Aug 14 UTC

perrette

type: bug reso: working as intended

The example script displays a scatter plot via the `bokeh.glyphs.Circle` / `boke…h.objects.Glyph` interface, using the bokeh server. I noticed that when the `fill_color` parameter is not provided, the data area of the plot shows up as blank on the second execution (the first execution, for a given document, works just fine). You need either to click the "close all plots" button, or give a new document name, for the plot to show up again. If fill_color is provided, everything is normal. Below a minimal example. ``` import numpy as np from bokeh.objects import Plot, ColumnDataSource, DataRange1d, Glyph from bokeh.glyphs import Circle from bokeh.document import Document from bokeh.session import Session document = Document() session = Session() session.use_doc('test_server_issue') session.load_document(document) x = np.random.randn(100) y = np.random.randn(100) source = ColumnDataSource( data = dict(x=x, y=y) ) xdr = DataRange1d(sources=[source.columns('x')]) ydr = DataRange1d(sources=[source.columns('y')]) plot = Plot( data_sources=[source], x_range=xdr, y_range=ydr, plot_width=600, plot_height=600 ) circle = Circle(x='x', y='y') #circle = Circle(x='x', y='y', fill_color='blue') # adding fill_color will solve the bug circle_glyph = Glyph(data_source=source, xdata_range=xdr, ydata_range=ydr, glyph=circle) plot.renderers.append(circle_glyph) document.add(plot) session.store_document(document) link = session.object_link(document._plotcontext) print("Please visit %s to see the plots" % link) ```

Cheers

···

On Tuesday, August 5, 2014 2:01:05 PM UTC+2, Bryan Van de ven wrote:

Mahe,

It’s quite possible, can you submit a Github issue with this information and any code to reproduce that you can share?

Thanks!

Bryan

On Aug 5, 2014, at 12:38 PM, mahe.p...@gmail.com wrote:

Ok, apparently this has to do with the initialization of the Circle Glyph.
Passing a few arguments like radius=0.1, fill_color=‘blue’ solves the issue.
I guess this is a bug.

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For more options, visit https://groups.google.com/a/continuum.io/d/optout.

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systemJul 21, 2021 #7

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