matplotlib-users Mailing List for matplotlib

Hi Jens

Thanks. %matplitlib notebook looks great!. As I move the mouse around I see
values for x, and y . Any idea how I can get programmatic access to the
mouse events? I.E. When a user clicks I need to fetch some additional info.

I am sure there are many other things I’ll eventually want to do. For
example I have several different lines on the same graph. I want to make it
easy for the user to select values on a give line not just some random spot

Are there any other code examples or documentation?

Kind Regards

Andy


From:  Jens Nielsen <jen...@gm...>
Date:  Saturday, February 27, 2016 at 12:45 AM
To:  Andrew Davidson <An...@Sa...>,
<mat...@li...>
Subject:  Re: [Matplotlib-users] how to create interactive plots in jupyter
python3 notebook?

> Hi Andy
> 
> Please just try replacing %matplotlib inline with %matplitlib notebook which
> should give you a complete interactive backend in the notebook.
> It's by no means as nicely documented as it should be, but I use it on a
> regular basis with matplotlib 1.5.1 and don't have any major issues. If you
> see any issues
> please report them here or on the github bug tracker.
> 
> You can use the IPython widgets together with the notebook backend with the
> caveat that the interactive slider has to be defined in a new cell following
> the figure due to a bug see
> https://gist.github.com/jenshnielsen/20d9bf3fa40b309ad865  for an example
> 
> Hope this is useful
> Jens
> 
> On Sat, 27 Feb 2016 at 03:04 Andy Davidson <An...@sa...>
> wrote:
>> 
>>> >Hi
>>> >
>>> >I currently have a plot that gets update in a loop with data from a
>>> >remote system. It works and looks great. (matplotlib rocks!) I currently
>>> >use
>>> >
>>> >%matplotlib inline
>>> >
>>> >Now I need to make the graph interactive. By interactive I mean I would
>>> >like the user to be able to
>>> >
>>> >
>>> >1. move the mouse to get info about that point in the graph
>>> >2. Click on a point on the graph to do some sort of drill down. I¹ll
>>> >probably need to fetch additional data, to display. The data might be
>>> >text or some sort of table to display
>>> >3. Scroll the graph along it¹s x and y axis
>>> >4. Add a couple of widgets that let users select parameters of the graph
>>> >or underlying data set
>>> >
>>> >
>>> >Googling around I found people mention several choices
>>> >
>>> >1) Œ%matplotlib notebook¹ and the nbagg backend, how ever I have not been
>>> >able to find any documentation or code tutorials, or examples
>>> >
>>> >2)  Plot.ly https://plot.ly/python/ipython-notebook-tutorial/
>>> >
>>> >3) Python widgets for the Jupiter Notebook
>>> >https://github.com/ipython/ipywidgets
>>> >
>>> >Any comments or suggestions would be appreciated.
>>> >
>>> >Kind regards
>>> >
>>> >Andy
>> 
>> 
>> 
>> 
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Hi Andy

Please just try replacing %matplotlib inline with %matplitlib notebook
which should give you a complete interactive backend in the notebook.
It's by no means as nicely documented as it should be, but I use it on a
regular basis with matplotlib 1.5.1 and don't have any major issues. If you
see any issues
please report them here or on the github bug tracker.

You can use the IPython widgets together with the notebook backend with the
caveat that the interactive slider has to be defined in a new cell
following the figure due to a bug see
https://gist.github.com/jenshnielsen/20d9bf3fa40b309ad865  for an example

Hope this is useful
Jens

On Sat, 27 Feb 2016 at 03:04 Andy Davidson <An...@sa...>
wrote:

>
> >Hi
> >
> >I currently have a plot that gets update in a loop with data from a
> >remote system. It works and looks great. (matplotlib rocks!) I currently
> >use
> >
> >%matplotlib inline
> >
> >Now I need to make the graph interactive. By interactive I mean I would
> >like the user to be able to
> >
> >
> >1. move the mouse to get info about that point in the graph
> >2. Click on a point on the graph to do some sort of drill down. I¹ll
> >probably need to fetch additional data, to display. The data might be
> >text or some sort of table to display
> >3. Scroll the graph along it¹s x and y axis
> >4. Add a couple of widgets that let users select parameters of the graph
> >or underlying data set
> >
> >
> >Googling around I found people mention several choices
> >
> >1) Œ%matplotlib notebook¹ and the nbagg backend, how ever I have not been
> >able to find any documentation or code tutorials, or examples
> >
> >2)  Plot.ly https://plot.ly/python/ipython-notebook-tutorial/
> >
> >3) Python widgets for the Jupiter Notebook
> >https://github.com/ipython/ipywidgets
> >
> >Any comments or suggestions would be appreciated.
> >
> >Kind regards
> >
> >Andy
>
>
>
>
> ------------------------------------------------------------------------------
> Site24x7 APM Insight: Get Deep Visibility into Application Performance
> APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month
> Monitor end-to-end web transactions and take corrective actions now
> Troubleshoot faster and improve end-user experience. Signup Now!
> http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

>Hi
>
>I currently have a plot that gets update in a loop with data from a
>remote system. It works and looks great. (matplotlib rocks!) I currently
>use
>
>%matplotlib inline
>
>Now I need to make the graph interactive. By interactive I mean I would
>like the user to be able to
>
>
>1. move the mouse to get info about that point in the graph
>2. Click on a point on the graph to do some sort of drill down. I¹ll
>probably need to fetch additional data, to display. The data might be
>text or some sort of table to display
>3. Scroll the graph along it¹s x and y axis
>4. Add a couple of widgets that let users select parameters of the graph
>or underlying data set
>
>
>Googling around I found people mention several choices
>
>1) Œ%matplotlib notebook¹ and the nbagg backend, how ever I have not been
>able to find any documentation or code tutorials, or examples
>
>2)  Plot.ly https://plot.ly/python/ipython-notebook-tutorial/
>
>3) Python widgets for the Jupiter Notebook
>https://github.com/ipython/ipywidgets
>
>Any comments or suggestions would be appreciated.
>
>Kind regards
>
>Andy