Updating a plot using bokeh server

Hi,

I am writing a program which has a set of variables which keep changing and I plot their values as histograms. I have a command

mysession = push_session(curdoc())

in order to set the session document and the command

mysession.show(Column(*histogram_rows))

(where histogram rows is a list of Row widgets which consist of histograms) to output the figure on the server. When I run my program the figure updates as expected. I want to be able to add/remove histograms.

The way I tried to do that is to clear the output, take the new set of histograms and plot again as

mysession.show(Column(*new_histogram_rows))

somehow, this does not work. (Note: This works inline on ipython notebook when I use output_notebook() and push_notebook() instead of the server option.) Can anyone help me identify what I am doing wrong or suggest a better method to get this done?

Thanks!

Is this a duplicate
posting?

···

On 8/8/16 2:36 PM, Charith Peris wrote:

Hi,

      I am writing a program which has a set of variables which

keep changing and I plot their values as histograms. I have a
command

mysession = push_session(curdoc())

in order to set the session document and the command

mysession.show(Column(*histogram_rows))

      (where histogram rows is a list of Row widgets which

consist of histograms) to output the figure on the server.
When I run my program the figure updates as expected. I want
to be able to add/remove histograms.

      The way I tried to do that is to clear the output, take the

new set of histograms and plot again as

mysession.show(Column(*new_histogram_rows))

      somehow, this does not work. (Note: This works inline on

ipython notebook when I use output_notebook() and
push_notebook() instead of the server option.) Can anyone help
me identify what I am doing wrong or suggest a better method
to get this done?

Thanks!

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Sarah Bird
Developer, Bokeh

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Yes this is. Sorry about that.

“However, I believe there’s a bug where you can’t update nested children. So in your case of a column of rows, you may have a problem.”

My nested children plots get updated okay. The issue is when I try to add/remove new histograms (i.e. new figures) into the plot, as I’ve more clearly stated in this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

command with my new histogram I thought it should work. Is my thinking in correct by any chance?

···

On Mon, Aug 8, 2016 at 5:40 PM, Sarah Bird - Continuum [email protected] wrote:

Is this a duplicate
posting?

On 8/8/16 2:36 PM, Charith Peris wrote:

Hi,

      I am writing a program which has a set of variables which

keep changing and I plot their values as histograms. I have a
command

mysession = push_session(curdoc())

in order to set the session document and the command

mysession.show(Column(*histogram_rows))

      (where histogram rows is a list of Row widgets which

consist of histograms) to output the figure on the server.
When I run my program the figure updates as expected. I want
to be able to add/remove histograms.

      The way I tried to do that is to clear the output, take the

new set of histograms and plot again as

mysession.show(Column(*new_histogram_rows))

      somehow, this does not work. (Note: This works inline on

ipython notebook when I use output_notebook() and
push_notebook() instead of the server option.) Can anyone help
me identify what I am doing wrong or suggest a better method
to get this done?

Thanks!

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Sarah Bird
Developer, Bokeh

    [
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I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the children of your column worked

  • due to I bug
    2) redoing mysession.show(Column(*new_histogram_rows)) is not
    the correct way to update your column of plots. The correct way is
    to maintain a reference to the original column and update the
    children…but see point 1.

Can you provide runnable code if you want more help?

Sincerely,

Sarah Bird

···

On 8/8/16 2:45 PM, Charith Peris wrote:

Yes this is. Sorry about that.

        "However, I believe there's

a bug where you can’t update nested children. So in your
case of a column of rows, you may have a problem."

        My nested children plots get

updated okay. The issue is when I try to add/remove new
histograms (i.e. new figures) into the plot, as I’ve more
clearly stated in this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

        command with my new

histogram I thought it should work. Is my thinking in
correct by any chance?

      On Mon, Aug 8, 2016 at 5:40 PM, Sarah

Bird - Continuum [email protected] wrote:

Is this a duplicate posting?

On 8/8/16 2:36 PM, Charith Peris wrote:

Hi,

                    I am writing a program which has a set of

variables which keep changing and I plot their
values as histograms. I have a command

mysession = push_session(curdoc())

                    in order to set the session document and the

command

mysession.show(Column(*histogram_rows))

                    (where histogram rows is a list of Row

widgets which consist of histograms) to output
the figure on the server. When I run my program
the figure updates as expected. I want to be
able to add/remove histograms.

                    The way I tried to do that is to clear the

output, take the new set of histograms and plot
again as

mysession.show(Column(*new_histogram_rows))

                    somehow, this does not work. (Note: This

works inline on ipython notebook when I use
output_notebook() and push_notebook() instead of
the server option.) Can anyone help me identify
what I am doing wrong or suggest a better method
to get this done?

Thanks!

                You received this message because you are subscribed

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group.

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Sarah Bird
Developer, Bokeh

              [ ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png) ](http://continuum.io)
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Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
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Okay got it. I did maintain a reference to the original Column and I still have the issue. I guess I am running into the bug. I will work on getting runnable code to show outline the issue I am I facing. Thanks!

···

On Mon, Aug 8, 2016 at 5:50 PM, Sarah Bird - Continuum [email protected] wrote:

I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the children of your column worked

  • due to I bug
    2) redoing mysession.show(Column(*new_ histogram_rows)) is not
    the correct way to update your column of plots. The correct way is
    to maintain a reference to the original column and update the
    children…but see point 1.

Can you provide runnable code if you want more help?

Sincerely,

Sarah Bird

On 8/8/16 2:45 PM, Charith Peris wrote:

Yes this is. Sorry about that.

        "However, I believe there's

a bug where you can’t update nested children. So in your
case of a column of rows, you may have a problem."

        My nested children plots get

updated okay. The issue is when I try to add/remove new
histograms (i.e. new figures) into the plot, as I’ve more
clearly stated in this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

        command with my new

histogram I thought it should work. Is my thinking in
correct by any chance?

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


Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
    ](http://continuum.io)

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      On Mon, Aug 8, 2016 at 5:40 PM, Sarah

Bird - Continuum [email protected] wrote:

Is this a duplicate posting?

On 8/8/16 2:36 PM, Charith Peris wrote:

Hi,

                    I am writing a program which has a set of

variables which keep changing and I plot their
values as histograms. I have a command

mysession = push_session(curdoc())

                    in order to set the session document and the

command

mysession.show(Column(*histogram_rows))

                    (where histogram rows is a list of Row

widgets which consist of histograms) to output
the figure on the server. When I run my program
the figure updates as expected. I want to be
able to add/remove histograms.

                    The way I tried to do that is to clear the

output, take the new set of histograms and plot
again as

mysession.show(Column(*new_histogram_rows))

                    somehow, this does not work. (Note: This

works inline on ipython notebook when I use
output_notebook() and push_notebook() instead of
the server option.) Can anyone help me identify
what I am doing wrong or suggest a better method
to get this done?

Thanks!

                You received this message because you are subscribed

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


Sarah Bird
Developer, Bokeh

              [ ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png) ](http://continuum.io)
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Hi Sarah,

Here is a minimal code to outline the problem that I am facing. The first code block outputs a figure, the second code blocks adds a figure to the output. This works fine if you use the output_notebook() and push_notebook(). However when you use the server, the second instance does not produce plots. Any help would be appreciated.

########## CODE BLOCK 1 #############

def make_plot(x,y):

source = ColumnDataSource(data=dict(x=x, y=y))

p = figure(tools=“save, resize”,

background_fill_color="#E8DDCB", height=200, width=200)

p.circle(x=‘x’, y=‘y’, size=20, color=“navy”, alpha=0.5, source=source)

return p, source

from bokeh.models import ColumnDataSource, Range1d

from bokeh.plotting import figure, curdoc

from bokeh.layouts import Row

from bokeh.io import push_notebook

from bokeh.client import push_session, pull_session

import IPython.display

#output_notebook()

session = push_session(curdoc())

x = [1, 2, 3, 4, 5]

y = [6, 7, 2, 4, 5]

p1, source = make_plot(x,y)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

x = [4, 2, 3, 3, 6]

y = [3, 7, 1, 3, 4]

p2, source2 = make_plot(x,y)

IPython.display.clear_output(True)

session.show(Row(p1,p2))

#push_notebook()

···

On Monday, August 8, 2016 at 5:57:57 PM UTC-4, Charith Peris wrote:

Okay got it. I did maintain a reference to the original Column and I still have the issue. I guess I am running into the bug. I will work on getting runnable code to show outline the issue I am I facing. Thanks!

On Mon, Aug 8, 2016 at 5:50 PM, Sarah Bird - Continuum [email protected] wrote:

I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the children of your column worked

  • due to I bug
    2) redoing mysession.show(Column(*new_ histogram_rows)) is not
    the correct way to update your column of plots. The correct way is
    to maintain a reference to the original column and update the
    children…but see point 1.

Can you provide runnable code if you want more help?

Sincerely,

Sarah Bird

On 8/8/16 2:45 PM, Charith Peris wrote:

Yes this is. Sorry about that.

        "However, I believe there's

a bug where you can’t update nested children. So in your
case of a column of rows, you may have a problem."

        My nested children plots get

updated okay. The issue is when I try to add/remove new
histograms (i.e. new figures) into the plot, as I’ve more
clearly stated in this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

        command with my new

histogram I thought it should work. Is my thinking in
correct by any chance?

      On Mon, Aug 8, 2016 at 5:40 PM, Sarah > > > Bird - Continuum <[email protected]> wrote:

Is this a duplicate posting?

On 8/8/16 2:36 PM, Charith Peris wrote:

Hi,

                    I am writing a program which has a set of

variables which keep changing and I plot their
values as histograms. I have a command

mysession = push_session(curdoc())

                    in order to set the session document and the

command

mysession.show(Column(*histogram_rows))

                    (where histogram rows is a list of Row

widgets which consist of histograms) to output
the figure on the server. When I run my program
the figure updates as expected. I want to be
able to add/remove histograms.

                    The way I tried to do that is to clear the

output, take the new set of histograms and plot
again as

mysession.show(Column(*new_histogram_rows))

                    somehow, this does not work. (Note: This

works inline on ipython notebook when I use
output_notebook() and push_notebook() instead of
the server option.) Can anyone help me identify
what I am doing wrong or suggest a better method
to get this done?

Thanks!

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Sarah Bird
Developer, Bokeh

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Sarah Bird
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Hi,

                  You're a little out of my area

of experti se -
bryan may have some thoughts.

                                                              But, here's

a couple of things:

                                 1                                      ) You

can’t add the same plot to the
document twice. You need to build
p lot1
every time you want to
use it in the same
document.
the reason this was ok
in the notebook I’m
guessing is because of
IPython.display.clear_output(True)

                                                                                                   2) I don't

think you s hould be
calling
session.show
twice. for me it opens up two browser windows, when I correct
you code so it
doesn’t go blank I
see three plots
which I don’t
think is what you
intended

                                                                                                          Here's

code that will
at least run:

                                                                                                              from

bokeh.models
import
ColumnDataSource,
Range1d

                                                      from

bokeh.plotting
import figure,
curdoc

                                                      from

bokeh.layouts
import Row

                                                      from bokeh.io

import
push_notebook

                                                      from

bokeh.client
import
push_session,
pull_session

                                                      def

make_plot(x,y):

                                                          source =

ColumnDataSource(data=dict(x=x,
y=y))

                                                          p =

figure(tools=“save,
resize”,

            background_fill_color="#E8DDCB", height=200, width=200)

p.circle(x=‘x’,
y=‘y’,
size=20,
color=“navy”,
alpha=0.5,
source=source)

                                                          return p,

source

#output_notebook()

                                                      session =

push_session(curdoc())

                                                      x1 = [1, 2, 3,

4, 5]

                                                      y1 = [6, 7, 2,

4, 5]

                                                      p1, source =

make_plot(x1,y1)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

                                                      x2 = [4, 2, 3,

3, 6]

                                                      y2 = [3, 7, 1,

3, 4]

                                                      p1, source =

make_plot(x1,y1)

                                                      p2, source2 =

make_plot(x2,y2)

session.show(Row(p1,p2))

#push_notebook()

···

On 8/10/16 2:30 PM, Charith Peris
wrote:

Hi Sarah,

      Here is a minimal code to outline the problem that I am

facing. The first code block outputs a figure, the second code
blocks adds a figure to the output. This works fine if you use
the output_notebook() and push_notebook(). However when you
use the server, the second instance does not produce plots.
Any help would be appreciated.

########## CODE BLOCK 1 #############

def make_plot(x,y):

source = ColumnDataSource(data=dict(x=x, y=y))

p = figure(tools=“save, resize”,

        background_fill_color="#E8DDCB",

height=200, width=200)

        p.circle(x='x', y='y', size=20, color="navy",

alpha=0.5, source=source)

return p, source

from bokeh.models import ColumnDataSource, Range1d

from bokeh.plotting import figure, curdoc

from bokeh.layouts import Row

from bokeh.io import push_notebook

from bokeh.client import push_session, pull_session

import IPython.display

#output_notebook()

session = push_session(curdoc())

x = [1, 2, 3, 4, 5]

y = [6, 7, 2, 4, 5]

p1, source = make_plot(x,y)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

x = [4, 2, 3, 3, 6]

y = [3, 7, 1, 3, 4]

p2, source2 = make_plot(x,y)

IPython.display.clear_output(True)

session.show(Row(p1,p2))

#push_notebook()

      On Monday, August 8, 2016 at 5:57:57 PM UTC-4, Charith Peris

wrote:

          Okay got it. I did maintain a reference to

the original Column and I still have the issue. I guess I
am running into the bug. I will work on getting runnable
code to show outline the issue I am I facing. Thanks!

            On Mon, Aug 8, 2016 at 5:50 PM,

Sarah Bird - Continuum [email protected] wrote:

I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the children of
your column worked - due to I bug
2) redoing mysession.show(Column(*new_ histogram_rows))
is not the correct way to update your column of
plots. The correct way is to maintain a reference
to the original column and update the
children…but see point 1.

                  Can you provide runnable code if you want more

help?

Sincerely,

Sarah Bird

On 8/8/16 2:45 PM, Charith Peris wrote:

Yes this is. Sorry about that.

                            "However,

I believe there’s a bug where you can’t
update nested children. So in your case
of a column of rows, you may have a
problem."

                            My

nested children plots get updated okay.
The issue is when I try to add/remove
new histograms (i.e. new figures) into
the plot, as I’ve more clearly stated in
this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

                            command

with my new histogram I thought it
should work. Is my thinking in correct
by any chance?

                          On Mon, Aug 8, 2016

at 5:40 PM, Sarah Bird - Continuum [email protected]
wrote:

Is this a duplicate
posting?

                                    On 8/8/16 2:36 PM, Charith

Peris wrote:

Hi,

                                        I am writing a program

which has a set of variables
which keep changing and I
plot their values as
histograms. I have a command

                                        mysession =

push_session(curdoc())

                                        in order to set the

session document and the
command

mysession.show(Column(*histogram_rows))

                                        (where histogram rows is

a list of Row widgets which
consist of histograms) to
output the figure on the
server. When I run my
program the figure updates
as expected. I want to be
able to add/remove
histograms.

                                        The way I tried to do

that is to clear the output,
take the new set of
histograms and plot again
as

mysession.show(Column(*new_histogram_rows))

                                        somehow, this does not

work. (Note: This works
inline on ipython notebook
when I use output_notebook()
and push_notebook() instead
of the server option.) Can
anyone help me identify what
I am doing wrong or suggest
a better method to get this
done?

Thanks!

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Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
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Hi,

Okay thanks for pointing that out. Of course the IPython.display.clear_output(True) would not have worked on the browser. I have a few follow up questions:

(1) Is there anyway to clear the output on the browser in a similar manner that IPython.display.clear_output(True) works for the notebook? In other words there anyway to update a plot on the browser without opening a new browser window?

(2) Creating a plot again might be a high computational cost. Is there a way around this?

···

On Friday, August 12, 2016 at 6:15:57 AM UTC-4, Sarah Bird wrote:

Hi,

                  You're a little out of my area

of experti se -
bryan may have some thoughts.

                                                              But, here's

a couple of things:

                                 1                                      ) You

can’t add the same plot to the
document twice. You need to build
p lot1
every time you want to
use it in the same
document.
the reason this was ok
in the notebook I’m
guessing is because of
IPython.display.clear_output(True)

                                                                                                   2) I don't

think you s hould be
calling
session.show
twice. for me it opens up two browser windows, when I correct
you code so it
doesn’t go blank I
see three plots
which I don’t
think is what you
intended

                                                                                                          Here's

code that will
at least run:

                                                                                                              from

bokeh.models
import
ColumnDataSource,
Range1d

                                                      from

bokeh.plotting
import figure,
curdoc

                                                      from

bokeh.layouts
import Row

                                                      from [bokeh.io](http://bokeh.io)
                                                      import

push_notebook

                                                      from

bokeh.client
import
push_session,
pull_session

                                                      def

make_plot(x,y):

                                                          source =

ColumnDataSource(data=dict(x= x,
y=y))

                                                          p =

figure(tools=“save,
resize”,

            background_fill_color="#E8DDCB", height=200, width=200)

p.circle(x=‘x’,
y=‘y’,
size=20,
color=“navy”,
alpha=0.5,
source=source)

                                                          return p,

source

#output_notebook()

                                                      session =

push_session(curdoc())

                                                      x1 = [1, 2, 3,

4, 5]

                                                      y1 = [6, 7, 2,

4, 5]

                                                      p1, source =

make_plot(x1,y1)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

                                                      x2 = [4, 2, 3,

3, 6]

                                                      y2 = [3, 7, 1,

3, 4]

                                                      p1, source =

make_plot(x1,y1)

                                                      p2, source2 =

make_plot(x2,y2)

session.show(Row(p1,p2))

#push_notebook()

  On 8/10/16 2:30 PM, Charith Peris > wrote:

Hi Sarah,

      Here is a minimal code to outline the problem that I am

facing. The first code block outputs a figure, the second code
blocks adds a figure to the output. This works fine if you use
the output_notebook() and push_notebook(). However when you
use the server, the second instance does not produce plots.
Any help would be appreciated.

########## CODE BLOCK 1 #############

def make_plot(x,y):

source = ColumnDataSource(data=dict(x=x, y=y))

p = figure(tools=“save, resize”,

background_fill_color="# E8DDCB",
height=200, width=200)

        p.circle(x='x', y='y', size=20, color="navy",

alpha=0.5, source=source)

return p, source

from bokeh.models import ColumnDataSource, Range1d

from bokeh.plotting import figure, curdoc

from bokeh.layouts import Row

from bokeh.io import push_notebook

from bokeh.client import push_session, pull_session

import IPython.display

#output_notebook()

session = push_session(curdoc())

x = [1, 2, 3, 4, 5]

y = [6, 7, 2, 4, 5]

p1, source = make_plot(x,y)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

x = [4, 2, 3, 3, 6]

y = [3, 7, 1, 3, 4]

p2, source2 = make_plot(x,y)

IPython.display.clear_output(True)

session.show(Row(p1,p2))

#push_notebook()

      On Monday, August 8, 2016 at 5:57:57 PM UTC-4, Charith Peris > > wrote:
          Okay got it. I did maintain a reference to

the original Column and I still have the issue. I guess I
am running into the bug. I will work on getting runnable
code to show outline the issue I am I facing. Thanks!

            On Mon, Aug 8, 2016 at 5:50 PM, > > > Sarah Bird - Continuum <[email protected]> wrote:

I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the children of
your column worked - due to I bug
2) redoing mysession.show(Column(*new_ histogram_rows))
is not the correct way to update your column of
plots. The correct way is to maintain a reference
to the original column and update the
children…but see point 1.

                  Can you provide runnable code if you want more

help?

Sincerely,

Sarah Bird

On 8/8/16 2:45 PM, Charith Peris wrote:

Yes this is. Sorry about that.

                            "However,

I believe there’s a bug where you can’t
update nested children. So in your case
of a column of rows, you may have a
problem."

                            My

nested children plots get updated okay.
The issue is when I try to add/remove
new histograms (i.e. new figures) into
the plot, as I’ve more clearly stated in
this version of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

                            command

with my new histogram I thought it
should work. Is my thinking in correct
by any chance?

                          On Mon, Aug 8, 2016 > > > > > at 5:40 PM, Sarah Bird - Continuum <[email protected]> > > > > >                               wrote:

Is this a duplicate
posting?

                                    On 8/8/16 2:36 PM, Charith > > > > > > Peris wrote:

Hi,

                                        I am writing a program

which has a set of variables
which keep changing and I
plot their values as
histograms. I have a command

                                        mysession =

push_session(curdoc())

                                        in order to set the

session document and the
command

mysession.show(Column(*histogram_rows))

                                        (where histogram rows is

a list of Row widgets which
consist of histograms) to
output the figure on the
server. When I run my
program the figure updates
as expected. I want to be
able to add/remove
histograms.

                                        The way I tried to do

that is to clear the output,
take the new set of
histograms and plot again
as

mysession.show(Column(*new_histogram_rows))

                                        somehow, this does not

work. (Note: This works
inline on ipython notebook
when I use output_notebook()
and push_notebook() instead
of the server option.) Can
anyone help me identify what
I am doing wrong or suggest
a better method to get this
done?

Thanks!

                                    You received this message

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** Sarah
Bird**
*** Developer,
Bokeh***

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Developer, Bokeh

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Sarah Bird
Developer, Bokeh

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      <img alt="Continuum Analytics" src="https://lh6.googleusercontent.com/proxy/VYgVjggTk1hCXSN9wFkffE3I6kxTvJ51tT4KvDXOuKbs1WyFG66k7kt2-vkDimbyxfWtP-d1paJmstMYhPPnDYSUF4rLPoYM2GM2QFM=w5000-h5000" height="30px" width="150px">
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A common way of
updating an existing plot is just to update the data.

  source =

ColumnDataSource(data=dict(x= ,
y=))

                                                      def

make_plot():

                                                          p =

figure(tools=“save,
resize”,

background_fill_color="# E8DDCB",
height=200,
width=200)

p.circle(x=‘x’,
y=‘y’,
size=20,
color=“navy”,
alpha=0.5,
source=source)

return p

def set_data(x, y):

source.data =
dict(x=x, y=y)

                                                      p =

make_plot()

                                                      show(p)

                                                      set_data(x1,

y1)

                                                      set_data(x2, y2)

                                                      You can

call set_data
as many times
as you need to
and it’ll
update the
data on the
existing plot.

                                                      There

are many
example s that
update the
data here:

···

https://github.com/bokeh/bokeh/tree/master/examples/app
On 8/12/16 7:13 AM, Charith Peris
wrote:

Hi,

      Okay thanks for pointing that out. Of course the

IPython.display.clear_output( True) would not have worked
on the browser. I have a few follow up questions:

      (1) Is there anyway to clear the output on the browser in a

similar manner that IPython.display.clear_output( True)
works for the notebook? In other words there anyway to update
a plot on the browser without opening a new browser window?

      (2) Creating a plot again might be a high computational

cost. Is there a way around this?

      On Friday, August 12, 2016 at 6:15:57 AM UTC-4, Sarah Bird

wrote:

Hi,

                            You're a little out of

my area of experti se - bryan
may have some thoughts.

                                                                                  But,

here’s a couple of things:

                                           1                                                ) You can't add

the same plot to the
document tw ice. You need
to build plot1 every time you want to use it in the same document. the reason this was ok in the notebook I’m
guessing is
because of IPython.display.clear_output(True)

                                                                                                                 2) I

don’t think
you s hould be
calling
session.show
twice. for me it opens up
two browser
windows, when I correct you
code so it
doesn’t go
blank I see
three plots
which I don’t
think is what
you intended

                                                                                                                Here's

code that will
at least run:

                                                                                                                from

bokeh.models
import
ColumnDataSource,
Range1d

                                                      from

bokeh.plotting
import figure,
curdoc

                                                      from

bokeh.layouts
import Row

                                                      from [bokeh.io](http://bokeh.io)
                                                      import

push_notebook

                                                      from

bokeh.client
import
push_session,
pull_session

                                                      def

make_plot(x,y):

                                                          source =

ColumnDataSource(data=dict(x= x,
y=y))

                                                          p =

figure(tools=“save,
resize”,

            background_fill_color="#                                                          E8DDCB", height=200,

width=200)

p.circle(x=‘x’,
y=‘y’,
size=20,
color=“navy”,
alpha=0.5,
source=source)

                                                          return p,

source

#output_notebook()

                                                      session =

push_session(curdoc())

                                                      x1 = [1, 2, 3,

4, 5]

                                                      y1 = [6, 7, 2,

4, 5]

                                                      p1, source =

make_plot(x1,y1)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

                                                      x2 = [4, 2, 3,

3, 6]

                                                      y2 = [3, 7, 1,

3, 4]

                                                      p1, source =

make_plot(x1,y1)

                                                      p2, source2 =

make_plot(x2,y2)

session.show(Row(p1,p2))

#push_notebook()

On 8/10/16 2:30 PM, Charith Peris wrote:

Hi Sarah,

                Here is a minimal code to outline the problem

that I am facing. The first code block outputs a
figure, the second code blocks adds a figure to the
output. This works fine if you use the
output_notebook() and push_notebook(). However when
you use the server, the second instance does not
produce plots. Any help would be appreciated.

########## CODE BLOCK 1 #############

def make_plot(x,y):

source = ColumnDataSource(data=dict(x= x,
y=y))

p = figure(tools=“save, resize”,

background_fill_color="# E8DDCB",
height=200, width=200)

                  p.circle(x='x', y='y', size=20,

color=“navy”, alpha=0.5, source=source)

return p, source

                  from bokeh.models import ColumnDataSource,

Range1d

from bokeh.plotting import figure, curdoc

from bokeh.layouts import Row

from bokeh.io import push_notebook

                  from bokeh.client import push_session,

pull_session

import IPython.display

#output_notebook()

session = push_session(curdoc())

x = [1, 2, 3, 4, 5]

y = [6, 7, 2, 4, 5]

p1, source = make_plot(x,y)

session.show(Row(p1))

#push_notebook()

############### CODE BLOCK 2 ###################

x = [4, 2, 3, 3, 6]

y = [3, 7, 1, 3, 4]

p2, source2 = make_plot(x,y)

IPython.display.clear_output(True)

session.show(Row(p1,p2))

#push_notebook()

                On Monday, August 8, 2016 at 5:57:57 PM UTC-4,

Charith Peris wrote:

                    Okay got it. I did maintain a

reference to the original Column and I still
have the issue. I guess I am running into the
bug. I will work on getting runnable code to
show outline the issue I am I facing. Thanks!

                      On Mon, Aug 8, 2016 at

5:50 PM, Sarah Bird - Continuum [email protected]
wrote:

I’m not following you.

I’m trying to say that:
1) I’d be surprised if changing the
children of your column worked - due to
I bug
2) redoing mysession.show(Column(*new_ histogram_rows))
is not the correct way to update your
column of plots. The correct way is to
maintain a reference to the original
column and update the children…but
see point 1.

                            Can you provide runnable code if you

want more help?

Sincerely,

Sarah Bird

                                On 8/8/16 2:45 PM, Charith Peris

wrote:

                                  Yes this is. Sorry

about that.

                                      "However,

I believe there’s a bug where
you can’t update nested
children. So in your case of a
column of rows, you may have a
problem."

                                      My

nested children plots get
updated okay. The issue is
when I try to add/remove new
histograms (i.e. new figures)
into the plot, as I’ve more
clearly stated in this version
of my issue. If I redo the

mysession.show(Column(*new_histogram_rows))

                                      command

with my new histogram I
thought it should work. Is my
thinking in correct by any
chance?

                                    On Mon,

Aug 8, 2016 at 5:40 PM, Sarah
Bird - Continuum [email protected]
wrote:

                                              Is

this a duplicate
posting?

                                              On 8/8/16 2:36 PM,

Charith Peris wrote:

Hi,

                                                  I am writing a

program which has
a set of variables
which keep
changing and I
plot their values
as histograms. I
have a command

                                                  mysession =

push_session(curdoc())

                                                  in order to set

the session
document and the
command

mysession.show(Column(*histogram_rows))

                                                  (where

histogram rows is
a list of Row
widgets which
consist of
histograms) to
output the figure
on the server.
When I run my
program the figure
updates as
expected. I want
to be able to
add/remove
histograms.

                                                  The way I tried

to do that is to
clear the output,
take the new set
of histograms and
plot again as

mysession.show(Column(*new_histogram_rows))

                                                  somehow, this

does not work.
(Note: This works
inline on ipython
notebook when I
use
output_notebook()
and
push_notebook()
instead of the
server option.)
Can anyone help me
identify what I am
doing wrong or
suggest a better
method to get this
done?

Thanks!

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