matplotlib-users Mailing List for matplotlib

Joe,

Thank you!  I will especially use it to get the z value in images.  I
started to try to do something like this once but never finished.

One thing I'm having a bit of trouble with is providing an artist as an
argument.  The reason I wanted to do that is to look only at the values
for the image and not those for the contours drawn on the image.  How
does that work exactly?

As a side note, I thought that I had found a bug because an I was
looking at image would, in some places, print only the x and y values
but not the z value.  Then I realized it was printing the values for a
contour that I had made invisible by setting its edgecolor to 'None'.
This was because the contour created had two parts and I only wanted to
show one of them.  Anyone know a different way to do that?

Regards,
Jon

On Tue, 2013-03-12 at 22:58 -0500, Joe Kington wrote:
> I recently got around to polishing up a snippet I've been using for
> quite awhile.  https://github.com/joferkington/mpldatacursor/  and I
> was hoping to get some feeding on the current implementation.
> 
> 
> "mpldatacursor" allows a user to easily click on an artist and display
> a customizable, interactive pop-up box displaying information about
> the selected artist (e.g. x & y, label, z for images and collections,
> etc).  It's a stand-alone module (and in pypi), but you could also
> just download the examples directory from github and copy the
> mpldatacursor.py file into it to try things out.
> 
> 
> A few key questions:
> 
>      1. Is this something that anyone else finds useful?  
>         
>      2. Does it seem intuitive?
>         
>      3. Does the implementation seem flexible enough for most needs?
>         (Note that any additional kwargs are passed on to annotate to
>         create the "data cursor", so the appearance of the box is
>         customizable through annotation kwargs.)
>         
>      4. Are there any obvious features missing?
>         
>      5. Any suggestions? (especially better name suggestions...)
> 
> If it is something that other people find useful, I'd be happy to
> submit a pull request to incorporate it into matplotlib.  (If I did,
> it would probably be best to drop the HighlightDataCursor class, as
> its limited in what it can do.)
> 
> Thanks a bunch!
> 
> -Joe
> 
> 
> 

-- 
______________________________________________________________
Jonathan D. Slavin              Harvard-Smithsonian CfA
js...@cf...         60 Garden Street, MS 83
phone: (617) 496-7981           Cambridge, MA 02138-1516
 cell: (781) 363-0035           USA
______________________________________________________________

Nevermind on my earlier question on artists and using datacursor.  I
figured that one out.  What I did was basically (after creating the
image and contours):

artist = gca().images
datacursor(artist)

and it worked!

Jon

On Wed, 2013-03-13 at 15:50 -0400, Jonathan Slavin wrote:
> Joe,
> 
> Thank you!  I will especially use it to get the z value in images.  I
> started to try to do something like this once but never finished.
> 
> One thing I'm having a bit of trouble with is providing an artist as an
> argument.  The reason I wanted to do that is to look only at the values
> for the image and not those for the contours drawn on the image.  How
> does that work exactly?
> 
> As a side note, I thought that I had found a bug because an I was
> looking at image would, in some places, print only the x and y values
> but not the z value.  Then I realized it was printing the values for a
> contour that I had made invisible by setting its edgecolor to 'None'.
> This was because the contour created had two parts and I only wanted to
> show one of them.  Anyone know a different way to do that?
> 
> Regards,
> Jon
> 
> On Tue, 2013-03-12 at 22:58 -0500, Joe Kington wrote:
> > I recently got around to polishing up a snippet I've been using for
> > quite awhile.  https://github.com/joferkington/mpldatacursor/  and I
> > was hoping to get some feeding on the current implementation.
> > 
> > 
> > "mpldatacursor" allows a user to easily click on an artist and display
> > a customizable, interactive pop-up box displaying information about
> > the selected artist (e.g. x & y, label, z for images and collections,
> > etc).  It's a stand-alone module (and in pypi), but you could also
> > just download the examples directory from github and copy the
> > mpldatacursor.py file into it to try things out.
> > 
> > 
> > A few key questions:
> > 
> >      1. Is this something that anyone else finds useful?  
> >         
> >      2. Does it seem intuitive?
> >         
> >      3. Does the implementation seem flexible enough for most needs?
> >         (Note that any additional kwargs are passed on to annotate to
> >         create the "data cursor", so the appearance of the box is
> >         customizable through annotation kwargs.)
> >         
> >      4. Are there any obvious features missing?
> >         
> >      5. Any suggestions? (especially better name suggestions...)
> > 
> > If it is something that other people find useful, I'd be happy to
> > submit a pull request to incorporate it into matplotlib.  (If I did,
> > it would probably be best to drop the HighlightDataCursor class, as
> > its limited in what it can do.)
> > 
> > Thanks a bunch!
> > 
> > -Joe
> > 
> > 
> > 
> 

-- 
______________________________________________________________
Jonathan D. Slavin              Harvard-Smithsonian CfA
js...@cf...         60 Garden Street, MS 83
phone: (617) 496-7981           Cambridge, MA 02138-1516
 cell: (781) 363-0035           USA
______________________________________________________________

Dear Goyo,

Thanks for your information. I finally change them into pdf but not used
yet.
Otherwise I will try png format.

cheers,

Chao

On Wed, Mar 13, 2013 at 6:54 PM, Goyo <goy...@gm...> wrote:

> 2013/3/11 Chao YUE <cha...@gm...>:
> > Dear all,
> >
> > I searched the internet but still get confused by how can I save a figure
> > with high dpi value to jpeg format.
> >
> > I am using matplotlib 1.2.0 with ubuntu system.
> > In [14]: mat.__version__
> > Out[14]: '1.2.0'
> >
> > I tried both setting the flag "savefig.dpi" flag in matplotlibrc as 300,
> > and use fig.savefig('temp.jpg',dpi=300) when saving the figure.
> > But when I checked the figure dpi with GIMP, it says 72.
>
> I can replicate this, but saving as png I get the correct dpi. I don't
> know if this is a bug or a limitation of the jpg format.
>
> Anyway, the jpg and png images are made of the same number of pixels
> hence the dpi should not be an issue provided you can scale the image
> in your publishing software. And the png format will do better in many
> cases.
>
> Goyo
>



-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

2013/3/11 Chao YUE <cha...@gm...>:
> Dear all,
>
> I searched the internet but still get confused by how can I save a figure
> with high dpi value to jpeg format.
>
> I am using matplotlib 1.2.0 with ubuntu system.
> In [14]: mat.__version__
> Out[14]: '1.2.0'
>
> I tried both setting the flag "savefig.dpi" flag in matplotlibrc as 300,
> and use fig.savefig('temp.jpg',dpi=300) when saving the figure.
> But when I checked the figure dpi with GIMP, it says 72.

I can replicate this, but saving as png I get the correct dpi. I don't
know if this is a bug or a limitation of the jpg format.

Anyway, the jpg and png images are made of the same number of pixels
hence the dpi should not be an issue provided you can scale the image
in your publishing software. And the png format will do better in many
cases.

Goyo

Dear all,

None of the obvious ways for changing ticklabels seem to work for the 
current version of Matplotlib (1.2.0 for me). At present, 
ax.yaxis.get_ticklabels().get_text() returns empty strings, as does 
ax.get_yticklabels(), and the equivalent set_* functions don't seem to 
have any effect.

So: help!

Yours,

Andrew

On Tue, Mar 12, 2013 at 11:58 PM, Joe Kington <jof...@gm...> wrote:
> I recently got around to polishing up a snippet I've been using for quite
> awhile.  https://github.com/joferkington/mpldatacursor/  and I was hoping to
> get some feeding on the current implementation.
>
> "mpldatacursor" allows a user to easily click on an artist and display a
> customizable, interactive pop-up box displaying information about the
> selected artist (e.g. x & y, label, z for images and collections, etc).
> It's a stand-alone module (and in pypi), but you could also just download
> the examples directory from github and copy the mpldatacursor.py file into
> it to try things out.
>
> A few key questions:
>
> Is this something that anyone else finds useful?

Yes, I had tried out your previous snippet.
I thought it would make a nice way to get the labels for an outlier
plot, when there are too many points to add the labels to the plot.
(statsmodels didn't have an outlier plot or calculations at the time.)

Thanks for the snippets.

Josef

>
> Does it seem intuitive?
>
> Does the implementation seem flexible enough for most needs? (Note that any
> additional kwargs are passed on to annotate to create the "data cursor", so
> the appearance of the box is customizable through annotation kwargs.)
>
> Are there any obvious features missing?
>
> Any suggestions? (especially better name suggestions...)
>
> If it is something that other people find useful, I'd be happy to submit a
> pull request to incorporate it into matplotlib.  (If I did, it would
> probably be best to drop the HighlightDataCursor class, as its limited in
> what it can do.)
>
> Thanks a bunch!
>
> -Joe
>
>
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>

Thanks for this Joe, mpldatacursor looks like an excellent piece of work -
I for one will be installing and using it regularly.

Thanks for sharing!





On 13 March 2013 03:58, Joe Kington <jof...@gm...> wrote:

> I recently got around to polishing up a snippet I've been using for quite
> awhile.  https://github.com/joferkington/mpldatacursor/  and I was hoping
> to get some feeding on the current implementation.
>
> "mpldatacursor" allows a user to easily click on an artist and display a
> customizable, interactive pop-up box displaying information about the
> selected artist (e.g. x & y, label, z for images and collections, etc).
> It's a stand-alone module (and in pypi), but you could also just download
> the examples directory from github and copy the mpldatacursor.py file into
> it to try things out.
>
> A few key questions:
>
>    1. Is this something that anyone else finds useful?
>
>    2. Does it seem intuitive?
>
>    3. Does the implementation seem flexible enough for most needs? (Note
>    that any additional kwargs are passed on to annotate to create the "data
>    cursor", so the appearance of the box is customizable through annotation
>    kwargs.)
>
>    4. Are there any obvious features missing?
>
>    5. Any suggestions? (especially better name suggestions...)
>
> If it is something that other people find useful, I'd be happy to submit a
> pull request to incorporate it into matplotlib.  (If I did, it would
> probably be best to drop the HighlightDataCursor class, as its limited in
> what it can do.)
>
> Thanks a bunch!
>
> -Joe
>
>
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_d2d_mar
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I recently got around to polishing up a snippet I've been using for quite
awhile.  https://github.com/joferkington/mpldatacursor/  and I was hoping
to get some feeding on the current implementation.

"mpldatacursor" allows a user to easily click on an artist and display a
customizable, interactive pop-up box displaying information about the
selected artist (e.g. x & y, label, z for images and collections, etc).
It's a stand-alone module (and in pypi), but you could also just download
the examples directory from github and copy the mpldatacursor.py file into
it to try things out.

A few key questions:

   1. Is this something that anyone else finds useful?

   2. Does it seem intuitive?

   3. Does the implementation seem flexible enough for most needs? (Note
   that any additional kwargs are passed on to annotate to create the "data
   cursor", so the appearance of the box is customizable through annotation
   kwargs.)

   4. Are there any obvious features missing?

   5. Any suggestions? (especially better name suggestions...)

If it is something that other people find useful, I'd be happy to submit a
pull request to incorporate it into matplotlib.  (If I did, it would
probably be best to drop the HighlightDataCursor class, as its limited in
what it can do.)

Thanks a bunch!

-Joe