Juno and interactive plot

New to Julia
1

Hi,

I am trying to update a juno plot (with Plots.gr()) in a for loop but it does not work.

Can you give me a hint on whether it is possible? (I saw that it is possible with GR directly by in an external window)

Thank you,

Romain

1 Like
2

This works fine for me (in Atom 1.17.2):

using Plots
gr()
for n in 1:100
  histogram(randn(10000))
end

I’m on Plots and GR master.

3

Use the gui() command to open the external window. I believe GR’s GUI isn’t interactive (yet, but that’s a big promised feature :slight_smile:)

4

Oh, is it working on the plot pane?

5

Plot pane interactivity requires that the output is javascript (others plot a PNG). If you want plot pane interactivity, use PlotlyJS. GR should get plot pane interactivity as part of its big GUI update, but you’ll probably hear more about that at JuliaCon.

6

Yes, it’s working in the plot pane - the plot is updated while the loop is executing. Real interactivity coming soon …

1 Like
7

Depending on setup, you may need gr(show = true). This plot is not interactive, by the way - it is just updated.

8

@jheinen Are you on Julia v0.6?

In Atom [Plots and GR are on Master, OSX environment] , the for loop does not update the plot pane at all:

using Plots
gr()
for n in 1:3
  sleep(0.2)
  histogram(randn(10000))
end

but this one does

using Plots
gr()
for n in 1:3
  sleep(0.2)
  histogram(randn(10000))
end
title!("Update!")

and it does it by showing the last plot and not the plot in between.

9

You should use

using Plots
gr()
for n in 1:3
  sleep(0.2)
  display(histogram(randn(10000)))
end

Juno doesn’t display plots when you call plot, unless the result of the call to plot is actually shown somewhere (just like the REPL).

2 Likes
10

Excellent! Thank you.

11

Could you pls try the following code - just to ensure, that GR is working fine:

using GR
inline("atom")
for n in 1:100
  sleep(0.02)
  histogram(randn(10000))
end

BTW: The sleep command is not necessary - but we have to slow down the animation (GR is fast) :slight_smile:

1 Like
12

@jheinen

It works as well! Thank you a lot.

13

Hi,
I am trying to plot in real time with Julia
I use this code

using Plots
gr(show = :ijulia)
x = 0:0.01:2*pi
for i in 1:200
plot(x, sin.(x + i / 10.0))
end

Sometimes it works. But most of the times I just get all the lines on a same plots at the end of the loop.
Do you have any idea of what happens?
Thank you

14

Could you try to add a sleep command (sleep(0.01)) in the loop ?

… or, add a display command:
display(plot(x, sin.(x + i / 10.0)))

This worked for me, e.g.:

using Plots
gr()
for i in 1:100
  display(histogram(randn(10000)))
end
15

display

displays this :
1-element Array{Any,1}:
PyObject <matplotlib.lines.Line2D object at 0x32549b5d0>
at each step of the loop… Do you have an idea of why?

sleep(0.01)

does not change the output : still all the lines on the same plot at the end of the loop…

I use IJulia on a jupyter notebook, if this can help. Thank you !

16

In IJulia (Jupyter notebook), this works for me:

using Plots
gr(show=:ijulia)
for i in 1:100
  histogram(randn(10000))
end
17

This works :

using Plots
gr(show=:ijulia)
for i in 1:100
histogram(randn(10000))
end

but not this :

using Plots
gr(show=:ijulia)
x = 0:0.01:2*pi
for i in 1:200
plot(x, sin.(x + i / 10.0))
end

Do you have any idea why? Thanks

18

There seems to be a limitation concerning the amount of data which can be transferred between the kernel and the notebook server. You can increase this limit with a command line option:

jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000

Seems to be a new feature in the notebook protocol. :slight_smile:

19

It does not change the result.
I will try to look in that direction though.

20

Hi,

I still did not find a way to plot in real time. Increasing the amount of data authorized does not work. I tried to find other solutions but I did not find any that would allow me to go on using jupiter notebook which is quite convenient.

Do you have any other idea to find a solution?

Thank you