matplotlib-users Mailing List for matplotlib (Page 7)

>>>>> "John" == John Kitchin <jki...@ch...> writes:
 

    John> Could these kinds of things be done in/with matplotlib? Or
    John> more importantly, does a framework in matplotlib exist that
    John> this kind of thing could be developed? I am interested in
    John> talking to anyone who has thoughts about this.


Basically, you will want to read up on matplotlib event handling.
Resources

  * user's guide section "event handling" in the pylab chapter

  * class documentation for Events at
    http://matplotlib.sf.net/matplotlib.backend_bases.html.

  * wiki entry at
    http://www.scipy.org/wikis/topical_software/InteractivePlotting


  * Example escripts

    picker_demo.py
    poly_editor.py


JDH

John Hunter wrote:

>>>>>>"Andrew" == Andrew Straw <str...@as...> writes:
>>>>>>            
>>>>>>
>
>    Andrew> So I modified nat.py in the following way, and it now
>    Andrew> works.  And there was much rejoicing!
>
>Anyone want to volunteer for a wiki entry on this one?  It comes up a
>lot...
>
>JDH
>  
>
John:  I was thinking about putting together a natgrid toolbox, which 
would provide a function similar to matlab's griddata.  This would 
building a new python interface to the natgrid c lib, since LLNL's 
license is too restrictive.  The natgrid lib itself is GPL, which I 
think precludes it from being included in matplotlib proper.  What do 
you think?

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/CDC  R/CDC1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

>>>>> "Andrew" == Andrew Straw <str...@as...> writes:

    Andrew> So I modified nat.py in the following way, and it now
    Andrew> works.  And there was much rejoicing!

Anyone want to volunteer for a wiki entry on this one?  It comes up a
lot...

JDH

>>>>> "Samuel" =3D=3D Samuel GARCIA <sg...@ol...> writes:

    Samuel>    I am new (futur) of pylab, I use a debian sid
    Samuel> (unstable) with this source.list : deb
    Samuel> [1]http://anakonda.altervista.org/debian packages/ deb-src
    Samuel> [2]http://anakonda.altervista.org/debian sources/ I try it
    Samuel> few 2 mouths ago and it worked, I have just updated all
    Samuel> and now it does nit worked.  Sorry if the answer is in
    Samuel> archive, I did'nt find it.  I have this message with from
    Samuel> pylab import * :

This is a problem with your debian packaging system, and unfortunately
is outside our ability to help.  I would report this to Vittorio, the
debian package maintainer.

gtk recently started using cairo as its rendering engine, and it
appears one of your package is linking to it but it is not provided, so
it looks like a debian dependency error.


JDH

    Samuel> -------------------------------------------------------------=
---------
    Samuel> ----- exceptions.ImportError Traceback (most recent call
    Samuel> last) /home/sgarcia/<console>
    Samuel> /usr/lib/python2.3/site-packages/pylab.py -3 from
    Samuel> matplotlib.pylab import *
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/pylab.py 197
    Samuel> 198 from axes import Axes, PolarAxes
    --> 199 import backends
    Samuel>        200 from cbook import flatten, is_string_like,
    Samuel> exception_to_str, popd, \ 201 silent_list, iterable,
    Samuel> enumerate
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/backends/__init__=
.py
    Samuel> 53 # a hack to keep old versions of ipython working with
    Samuel> mpl after bug 54 # fix #1209354 55 if 'IPython.Shell' in
    Samuel> sys.modules:
    ---> 56 new_figure_manager, draw_if_interactive, show =3D
    Samuel>    pylab_setup() 57
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/backends/__init__=
.py
    Samuel> in pylab_setup() 22 backend_name =3D
    Samuel> 'backend_'+backend.lower() 23 backend_mod =3D
    Samuel> __import__('matplotlib.backends.'+backend_name,
    ---> 24
    Samuel>    globals(),locals(),[backend_name]) 25 26 # Things we
    Samuel> pull in from all backends
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/backends/backend_=
gtkagg.py
    Samuel> 8 from matplotlib.figure import Figure 9 from backend_agg
    Samuel> import FigureCanvasAgg
    ---> 10 from backend_gtk import gtk, FigureManagerGTK,
    Samuel>    FigureCanvasGTK,\ 11 show, draw_if_interactive,\ 12
    Samuel> error_msg_gtk, NavigationToolbar, PIXELS_PER_INCH,
    Samuel> backend_version, \
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/backends/backend_=
gtk.py
    Samuel> 20 from matplotlib.backend_bases import RendererBase,
    Samuel> GraphicsContextBase, \ 21 FigureManagerBase,
    Samuel> FigureCanvasBase, NavigationToolbar2, cursors
    ---> 22 from matplotlib.backends.backend_gdk import RendererGDK,
    Samuel>    FigureCanvasGDK 23 from matplotlib.cbook import
    Samuel> is_string_like, enumerate 24 from matplotlib.figure import
    Samuel> Figure
    Samuel> /usr/lib/python2.3/site-packages/matplotlib/backends/backend_=
gdk.py
    Samuel> 32 from matplotlib.backends._na_backend_gdk import
    Samuel> pixbuf_get_pixels_array 33 else:
    ---> 34 from matplotlib.backends._nc_backend_gdk import
    Samuel>    pixbuf_get_pixels_array 35 36 ImportError:
    Samuel> libpangocairo-1.0.so.0: Ne peut ouvrir le fichier d'objet
    Samuel> partag=E9: Aucun fichier ou r=E9pertoire de ce type Samuel --
    Samuel> Samuel GARCIA CNRS - UMR5020 Universite Claude Bernard
    Samuel> LYON 1 Laboratoire des Neurosciences et Systemes
    Samuel> Sensoriels 50, avenue Tony Garnier 69366 LYON Cedex 07 04
    Samuel> 37 28 74 64

    Samuel>    -------------------------------------------------------
    Samuel> This SF.Net email is sponsored by: Power Architecture
    Samuel> Resource Center: Free content, downloads, discussions, and
    Samuel> more.  http://solutions.newsforge.com/ibmarch.tmpl
    Samuel> _______________________________________________
    Samuel> Matplotlib-users mailing list
    Samuel> Mat...@li...
    Samuel> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

    Samuel> References

    Samuel>    1. http://anakonda.altervista.org/debian
    Samuel> 2. http://anakonda.altervista.org/debian

Your error occurs much more recently than the glyph one that occupies
your subject

Python 2.3.4 (#1, Feb  2 2005, 12:11:53)
[GCC 3.4.2 20041017 (Red Hat 3.4.2-6.fc3)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pylab import *
>>> from data_helper import get_daily_data
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
ImportError: No module named data_helper


It looks like you have not downloaded the data_helper module from the
web site, that this example uses.  You'll also need to download the
data files as well ...

>>> grid(True)
>>>
>>> show()
Traceback (most recent call last):
  File "/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtk.py", line 318, in expose_event

You should not use show from interactive mode.  Try reading

  http://matplotlib.sourceforge.net/interactive.html

  http://matplotlib.sourceforge.net/tutorial.html

and 

  http://matplotlib.sourceforge.net/faq.html#SHOW

JDH

>>>>> "Willi" == Willi Richert <w.r...@gm...> writes:

>>>>> "Willi" =3D=3D Willi Richert <w.r...@gm...> writes:

    Willi> Hi, here is the script:

Really very strange.  Are you running this from the command line or an
IDE?  Could you post the results of

  > python yourscript.py --verbose-helpful

Perhaps this is a problem with text cacheing if you run the same
script repeatedly from ipython or an IDE.

Does it matter if you put the x and y label calls *after* the errorbar
command?

JDH



    Willi> #!/usr/bin/python

    Willi> from scipy import * from pylab import *

    Willi> MAX_TIME =3D 7000

    Willi> fn_social=3D"all-avg.dat"

    Willi> def readStats(fn): q =3D [d for d in io.read_array(fn) if
    Willi> d[0]<=3DMAX_TIME]

    Willi> 	print q t=3D[s[0] for s in q]

    Willi> 	age=3D[s[1] for s in q] age_conf=3D[s[2] for s in q]

    Willi> 	wp=3D[s[3] for s in q] wp_conf=3D[s[4] for s in q]

    Willi> 	return t, age, age_conf, wp, wp_conf

    Willi> hold(True)

    Willi> t, age, age_conf, wp, wp_conf =3D readStats(fn_social)

    Willi> xlabel('time [s]') ylabel('average lifetime [s]')

    Willi> errorbar(t,wp,yerr=3Dwp_conf, color=3D"blue",ecolor=3D"black",
    Willi> mfc=3D'red', mec=3D'green', ms=3D200, mew=3D4)

    Willi> show()


    Willi> Am Freitag, 14. Oktober 2005 16:05 schrieb John Hunter:
    >> >>>>> "Willi" =3D=3D Willi Richert <ri...@c-...> writes:
    >>=20
    Willi> Thanks, that helped! Switching to QtAgg did the trick.
    Willi> However, I have still some issues: 1) the text placement of
    Willi> the titles does not really work:
    Willi> http://wr.objectis.net/Members/Papst/Matplotlib_Problems
    >>
    Willi> 2) The confidence intervals are only vertical lines. I
    Willi> would like to have some small horizontal "stoppers" at the
    Willi> upper and lower point of those error bars.  Is that
    Willi> possible with matplotlib?
    >>=20
    >>=20
    >> Could you post the script -- hard to debug in a vacuum.
    >>=20
    >> JDH
    >>=20
    >>=20
    >> ------------------------------------------------------- This
    >> SF.Net email is sponsored by: Power Architecture Resource
    >> Center: Free content, downloads, discussions, and
    >> more. http://solutions.newsforge.com/ibmarch.tmpl
    >> _______________________________________________
    >> Matplotlib-users mailing list
    >> Mat...@li...
    >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

    Willi> -- Dipl.-Inform. Willi Richert C-LAB - Cooperative
    Willi> Computing & Communication Laboratory der Universit=E4t
    Willi> Paderborn und Siemens

    Willi> FU.323 F=FCrstenallee 11 D-33102 Paderborn Tel: +49 52 51 60
    Willi> - 61 20 Fax: +49 52 51 60 - 60 65 E-Mail: ri...@c-...
    Willi> Internet: http://www.c-lab.de


    Willi> -------------------------------------------------------
    Willi> This SF.Net email is sponsored by: Power Architecture
    Willi> Resource Center: Free content, downloads, discussions, and
    Willi> more. http://solutions.newsforge.com/ibmarch.tmpl
    Willi> _______________________________________________
    Willi> Matplotlib-users mailing list
    Willi> Mat...@li...
    Willi> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On 10/14/05, Mark Bakker <ma...@gm...> wrote:
>
> Hello all -
>
> I finally found time to fix the axis('scaled') feature.
> It is now consistent when zooming, as requested.
> In essence, it works the same as axis('equal'), but fixes the
> lower-left-hand corner rather than the center of the
> subplot. When using axis('scaled') the _autoscaleon is
> set to False, so that axis limits will be fixed when
> features are added to the figure. You can overwrite this
> by setting it the regular way (also works for axis('equal'))
> ax.set_autoscale_on(False).
>
> My last modification is a prototype implementation of
> zooming when two axes are linked. The idea behind this
> is that when an axis is 'equal' or 'scaled' and another
> axis is linked to this axis, that when you are zooming and
> changing the size of the subplot, then the size of the
> linkes axis should change accordingly. I use this when
> I am contouring 2D horizontal data and have a vertical
> cross-section linked to the x-axis of the horizontal plot.
> When I zoom in on the horizontal plot, the length of the
> linked axis now gets changes too! Works great, actually,
> but has been implemented for linked x-axis only for now.
> It works when zooming in the horizontal data (which
> has axis 'equal'), but not yet when zooming in the
> linked vertical cross-section. Still working on it.



Hi,
yes this is a step in the right direction! IMO it would also be nice with
functionality for
zooming in/out on single clicks with the left and right button, e.g.
something like the below for backend_bases.py: (hope it is not wrapped to
death...)

Helge


<pre>
...
def release_zoom(...):
...
# single click: 5 pixels is a threshold
if abs(x-lastx)<5 or abs(y-lasty)<5:

lastx, lasty =3D a.transData.inverse_xy_tup( (lastx, lasty) )
x, y =3D a.transData.inverse_xy_tup( (x, y) )
Xmin,Xmax=3Da.get_xlim()
Ymin,Ymax=3Da.get_ylim()

if self._button_pressed =3D=3D 1:

# zoom in by 20%, make point clicked center
dx=3D(Xmax-Xmin)*0.8*0.5
dy=3D(Ymax-Ymin)*0.8*0.5
a.set_xlim((x-dx, x+dx))
a.set_ylim((y-dy, y+dy))

elif self._button_pressed =3D=3D 3:

# zoom out by 20%, make point clicked center
dx=3D(Xmax-Xmin)*1.2*0.5
dy=3D(Ymax-Ymin)*1.2*0.5
a.set_xlim((x-dx, x+dx))
a.set_ylim((y-dy, y+dy))

self.draw()
self._xypress =3D None
self._button_pressed =3D=3D None

self.push_current()
self.release(event)
return

# zoom to rect
...
</pre>

Alan G Isaac wrote:
> On Fri, 14 Oct 2005, Steve Schmerler apparently wrote: 
> 
>>1.) yes, the plots are fine 
> 
> 
>>2.) yes, the bounding box is large enough 
> 
> 
>>I attached one of the .eps files I was talking about. In the printed 
>>.pdf where this is included the xlabel "T/K" as well as the numbers on 
>>the x-axis are missing. The "x"s in the legend box are also missing so 
>>it isn't a bb problem. 
> 
> 
>>I used dvipdf to convert .dvi -> .pdf (which I've learned only uses 
>>dvips and gs with some pdfwrite options) and not dvipdfm. Is it 
>>recommended to use dvipdfm over dvipdf? 
> 
> 
> Works fine with dvipdfm.
> (Ticks and labels are visible.)
> 
> Cheers,
> Alan Isaac
> (using Win2000, MiKTeX)
> 

Thanx. When I look at the .pdf on the screen everything is fine. Only
the printed version is the problem. I'll test (on Linux) if the printer
likes the .pdf produced by dvipfdm more than the output of dvipdf.

cheers,
steve


-- 
grep -ir fuck /usr/src/linux

On Fri, 14 Oct 2005, Steve Schmerler apparently wrote: 
> 1.) yes, the plots are fine 

> 2.) yes, the bounding box is large enough 

> I attached one of the .eps files I was talking about. In the printed 
> .pdf where this is included the xlabel "T/K" as well as the numbers on 
> the x-axis are missing. The "x"s in the legend box are also missing so 
> it isn't a bb problem. 

> I used dvipdf to convert .dvi -> .pdf (which I've learned only uses 
> dvips and gs with some pdfwrite options) and not dvipdfm. Is it 
> recommended to use dvipdfm over dvipdf? 

Works fine with dvipdfm.
(Ticks and labels are visible.)

Cheers,
Alan Isaac
(using Win2000, MiKTeX)

Hi,

here is the script:

#!/usr/bin/python

from scipy import *
from pylab import *

MAX_TIME =3D 7000

fn_social=3D"all-avg.dat"

def readStats(fn):
	q =3D [d for d in io.read_array(fn) if d[0]<=3DMAX_TIME]

	print q
	t=3D[s[0] for s in q]

	age=3D[s[1] for s in q]
	age_conf=3D[s[2] for s in q]

	wp=3D[s[3] for s in q]
	wp_conf=3D[s[4] for s in q]

	return t, age, age_conf, wp, wp_conf

hold(True)

t, age, age_conf, wp, wp_conf =3D readStats(fn_social)

xlabel('time [s]')
ylabel('average lifetime [s]')

errorbar(t,wp,yerr=3Dwp_conf, color=3D"blue",ecolor=3D"black", mfc=3D'red',=
=20
mec=3D'green', ms=3D200, mew=3D4)

show()


Am Freitag, 14. Oktober 2005 16:05 schrieb John Hunter:
> >>>>> "Willi" =3D=3D Willi Richert <ri...@c-...> writes:
>
>     Willi> Thanks, that helped! Switching to QtAgg did the trick.
>     Willi> However, I have still some issues: 1) the text placement of
>     Willi> the titles does not really work:
>     Willi> http://wr.objectis.net/Members/Papst/Matplotlib_Problems
>
>     Willi> 2) The confidence intervals are only vertical lines. I
>     Willi> would like to have some small horizontal "stoppers" at the
>     Willi> upper and lower point of those error bars.  Is that
>     Willi> possible with matplotlib?
>
>
> Could you post the script -- hard to debug in a vacuum.
>
> JDH
>
>
> -------------------------------------------------------
> This SF.Net email is sponsored by:
> Power Architecture Resource Center: Free content, downloads, discussions,
> and more. http://solutions.newsforge.com/ibmarch.tmpl
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

=2D-=20
Dipl.-Inform. Willi Richert
 C-LAB - Cooperative Computing & Communication Laboratory
 der Universit=E4t Paderborn und Siemens

=46U.323
 F=FCrstenallee 11
 D-33102 Paderborn
 Tel: +49 52 51 60 - 61 20
 Fax: +49 52 51 60 - 60 65
 E-Mail: ri...@c-...
 Internet: http://www.c-lab.de

I am interested in creating graphs where I can interact with the data
plotted in the graph.

 

For example, suppose I plot the heat of formation of ~ 80 different alloy
structures (which each have a name) against the composition of each
structure. What I would like is to hold the mouse over a data point and see
a balloon pop up that displays the crystal structure name, or to left click
on a data point to launch a structure viewer for the structure at that
point, or right click to get a menu of different options, or to press "f" to
see what filename the data for that point is saved in, etc...

 

Another example would be a graph of many lines, where each line corresponds
to a structure. Then I would want to click on the lines to do various
things. 

 

Sometimes the data is very dense, so it would also be nice if you could move
the focus to different points by tabbing or using the arrow buttons.

 

It would be interesting to be able to select portions of data points to do
some kind of analysis on, or to modify their appearance someway, maybe
change symbol the size according to atomic volume, or color according to
some property, etc. 

 

Could these kinds of things be done in/with matplotlib? Or more importantly,
does a framework in matplotlib exist that this kind of thing could be
developed? I am interested in talking to anyone who has thoughts about this.

 

Thanks,

 

j 

Hi Jeff,

This looks great but unfortunately I get the following error:

astraw@aspiring:~/other-peoples-src/natgrid/example$ python example.py
Traceback (most recent call last):
  File "example.py", line 3, in ?
    import nat
  File "/usr/lib/python2.3/site-packages/nat.py", line 362, in ?
    import string, math, sys, Numeric, cdms, MA, natgridmodule
ImportError: No module named cdms

So I modified nat.py in the following way, and it now works.  And there
was much rejoicing!

-import string, math, sys, Numeric, cdms, MA, natgridmodule
+import string, math, sys, Numeric, MA, natgridmodule

Jeff Whitaker wrote:
> Jesper Larsen wrote:
>
>> Hi matplotlib users,
>>
>> I have a long list of ungridded data that I would like to make a
>> contour plot of. The data is simply a list of (longitude, latitude,
>> datavalue) with the data value belonging the given longitude and
>> latitude. As far as I understand contour() only accepts gridded data
>> values.
>>
>> The solution is probably to interpolate the unstructured data to a
>> regular grid and then plot the data. Has anyone tried doing that or
>> know where to look for an interpolation/triangulation routine?
>>
>> Cheers,
>> Jesper
>>
>>
>>
>
> Jesper:  Since this question has come up a couple of times, I decided to
> cook up an example.  First you'll need to download and install the
> natgrid python module (included in CDAT, but I've separated it out from
> the huge tarball and put it at
> ftp://ftp.cdc.noaa.gov/Public/jsw/natgrid.tar.gz).  Then try this:
>
>
> from RandomArray import uniform
> import pylab as p
> import nat
>
> def griddata(x,y,z,xi,yi):
>    r = nat.Natgrid(y, x, yi, xi)
>    return r.rgrd(z)
>
> npts = 500
> x = uniform(-2,2,npts);  y = uniform(-2,2,npts)
> z = x*p.exp(-x**2-y**2)
>
> # x, y, and z are now vectors containing nonuniformly sampled data.
> # Define a regular grid and grid data to it.
> nx = 51; ny = 41
> x1 = p.linspace(-2,2,nx)
> y1 = p.linspace(-2,2,ny)
> xi, yi = p.meshgrid(x1, y1)
> zi = griddata(x,y,z,x1,y1)
>
> # Contour the gridded data, plotting dots at the nonuniform data points.
> CS = p.contour(xi,yi,zi,15,linewidths=0.5,colors=['k'])
> CS = p.contourf(xi,yi,zi,15,cmap=p.cm.jet)
> p.scatter(x,y,marker='o',c='b',s=5)
> p.xlim(-2,2)
> p.ylim(-2,2)
> p.show()
>
>
>
> It's interesting to see what happens when you vary npts (from 50 to 1000).
>
> HTH,
>
> -Jeff
>

Jesper Larsen wrote:

>Hi matplotlib users,
>
>I have a long list of ungridded data that I would like to make a contour plot 
>of. The data is simply a list of (longitude, latitude, datavalue) with the 
>data value belonging the given longitude and latitude. As far as I understand 
>contour() only accepts gridded data values.
>
>The solution is probably to interpolate the unstructured data to a regular 
>grid and then plot the data. Has anyone tried doing that or know where to 
>look for an interpolation/triangulation routine?
>
>Cheers,
>Jesper
>
>  
>

Jesper:  Since this question has come up a couple of times, I decided to 
cook up an example.  First you'll need to download and install the 
natgrid python module (included in CDAT, but I've separated it out from 
the huge tarball and put it at 
ftp://ftp.cdc.noaa.gov/Public/jsw/natgrid.tar.gz).  Then try this:


from RandomArray import uniform
import pylab as p
import nat

def griddata(x,y,z,xi,yi):
    r = nat.Natgrid(y, x, yi, xi)
    return r.rgrd(z)

npts = 500
x = uniform(-2,2,npts);  y = uniform(-2,2,npts)
z = x*p.exp(-x**2-y**2)

# x, y, and z are now vectors containing nonuniformly sampled data.
# Define a regular grid and grid data to it.
nx = 51; ny = 41
x1 = p.linspace(-2,2,nx)
y1 = p.linspace(-2,2,ny)
xi, yi = p.meshgrid(x1, y1)
zi = griddata(x,y,z,x1,y1)

# Contour the gridded data, plotting dots at the nonuniform data points.
CS = p.contour(xi,yi,zi,15,linewidths=0.5,colors=['k'])
CS = p.contourf(xi,yi,zi,15,cmap=p.cm.jet)
p.scatter(x,y,marker='o',c='b',s=5)
p.xlim(-2,2)
p.ylim(-2,2)
p.show()



It's interesting to see what happens when you vary npts (from 50 to 1000).

HTH,

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/CDC  R/CDC1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

Hello all -

I finally found time to fix the axis('scaled') feature.
It is now consistent when zooming, as requested.
In essence, it works the same as axis('equal'), but fixes the
lower-left-hand corner rather than the center of the
subplot. When using axis('scaled') the _autoscaleon is
set to False, so that axis limits will be fixed when
features are added to the figure. You can overwrite this
by setting it the regular way (also works for axis('equal'))
ax.set_autoscale_on(False).

My last modification is a prototype implementation of
zooming when two axes are linked. The idea behind this
is that when an axis is 'equal' or 'scaled' and another
axis is linked to this axis, that when you are zooming and
changing the size of the subplot, then the size of the
linkes axis should change accordingly. I use this when
I am contouring 2D horizontal data and have a vertical
cross-section linked to the x-axis of the horizontal plot.
When I zoom in on the horizontal plot, the length of the
linked axis now gets changes too! Works great, actually,
but has been implemented for linked x-axis only for now.
It works when zooming in the horizontal data (which
has axis 'equal'), but not yet when zooming in the
linked vertical cross-section. Still working on it.

Anyway, I modified 3 files, which I submitted on the patches
page. If anybody is interested, download these and let me
know what you think. I presume they'll get implemented in
CVS when John or others find the time to do so.

Mark

>>>>> "Mark" == Mark Bakker <ma...@gm...> writes:

    Mark> Was this a joke?  I have made a plot and tried pretty much
    Mark> any combination of funky keys plus an f to get it to full
    Mark> screen, but no go.  Any hint?  Thanks, Mark

GTK* only -- if you know how to do full screen mode for your GUI of
choice, please add it and send in the patch

You will need to define         

        self.full_screen_toggle()

for your figure manager of choice.

JDH

    Mark> Message: 5 From: Vidar Gundersen <vid...@37...> To:
    Mark> mat...@li... Date: Thu, 13 Oct
    Mark> 2005 18:06:52 +0200 Subject: [Matplotlib-users] shortcut
    Mark> keys and right-click menu


    Mark> as an addition to the toolbar (or as an alternative for
    Mark> users who want to turn it off), i think shortcut keys and a
    Mark> right-click menu for the figure window would be a useful
    Mark> addition to mpl.

    Mark> some suggested shortcut keys, (ctrl+)s = save as...  z =
    Mark> zoom to rectangle p = pan (and zoom) alt+right arrow,
    Mark> backspace = back alt+left arrow = forward esc, ctrl+w =
    Mark> close figure window

    Mark> we already have the neat f for fullscreen.


    Mark> ------------------------------------------------------- This
    Mark> SF.Net email is sponsored by: Power Architecture Resource
    Mark> Center: Free content, downloads, discussions, and
    Mark> more. http://solutions.newsforge.com/ibmarch.tmpl
    Mark> _______________________________________________
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    Mark> Mat...@li...
    Mark> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Was this a joke?
I have made a plot and tried pretty much any combination of funky keys
plus an f to get it to full screen, but no go.
Any hint?
Thanks,
Mark

Message: 5
From: Vidar Gundersen <vid...@37...>
To: mat...@li...
Date: Thu, 13 Oct 2005 18:06:52 +0200
Subject: [Matplotlib-users] shortcut keys and right-click menu


as an addition to the toolbar (or as an alternative for users who
want to turn it off), i think shortcut keys and a right-click
menu for the figure window would be a useful addition to mpl.

some suggested shortcut keys,
(ctrl+)s =3D save as...
z =3D zoom to rectangle
p =3D pan (and zoom)
alt+right arrow, backspace =3D back
alt+left arrow =3D forward
esc, ctrl+w =3D close figure window

we already have the neat f for fullscreen.

>>>>> "John" == John Hunter <jdh...@ac...> writes:

  if event.key=='left' and event.modifier=='alt':
     blah

That isn't the right approach, actually, because it doesn't support
multiple modifiers.  I think the better approach is to add attributes
alt, ctrl and shift which are booleans, eg one would do

  if event.alt and event.key=='x' :
     blah

or

  if event.alt and event.ctrl and event.key=='x' :
     blah

JDH

>>>>> "Charlie" == Charlie Moad <cw...@gm...> writes:

    Charlie> One note, I believe modifier keys aren't supported in a
    Charlie> natural way right now, so to catch "ctrl+s" for example
    Charlie> could be a pain.  Just pressing "ctrl" would generate an
    Charlie> event.  All the modifiers states would have to be
    Charlie> maintained manually, I believe.

Good point.  The first thing to be done is to add support for this in
the key event itself, by modifying FigureCanvasBase to track the state
of the modifier keys and add a modifier attr to the KeyEvent, so one
could do, eg

  if event.key=='left' and event.modifier=='alt':
     blah

Basically, you would want to add some state vars (_inalt, _inctrl,
_inshift) to FigureCanvasBase, and monitor event.key in
FigureCanvasBase.key_press_event and
FigureCanvasBase.key_release_event.  I would add a new kwarg to
KeyEvent like modifier=None that would be overrridden depending on the
_in* attrs.

Any takers on this one?

JDH

Jesper Larsen wrote:

>Hi matplotlib users,
>
>I have a long list of ungridded data that I would like to make a contour plot 
>of. The data is simply a list of (longitude, latitude, datavalue) with the 
>data value belonging the given longitude and latitude. As far as I understand 
>contour() only accepts gridded data values.
>
>The solution is probably to interpolate the unstructured data to a regular 
>grid and then plot the data. Has anyone tried doing that or know where to 
>look for an interpolation/triangulation routine?
>
>Cheers,
>Jesper
>
>
>  
>

Jesper:  I've had good luck with the natgrid package in CDAT 
(http://cdat.sf.net).  It will grid unstructured data for you.  You can 
install it without installing the rest of CDAT, just go to the 
contrib/natgrid directory and run setup.py install.

-Jeff


-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/CDC  R/CDC1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

In backend_bases.FigureManagerBase you can see how the
full_screen_toggle event is added and handled.  'f', 'l', and 'g' seem
reserved right now.

One note, I believe modifier keys aren't supported in a natural way
right now, so to catch "ctrl+s" for example could be a pain.  Just
pressing "ctrl" would generate an event.  All the modifiers states
would have to be maintained manually, I believe.

My two cents,
- Charlie

On 10/14/05, Erik Curiel <ec...@ke...> wrote:
>
> > some suggested shortcut keys,
> > (ctrl+)s =3D save as...
> > z =3D zoom to rectangle
> > p =3D pan (and zoom)
> > alt+right arrow, backspace =3D back
> > alt+left arrow =3D forward
> > esc, ctrl+w =3D close figure window
> >
> > we already have the neat f for fullscreen.
>
> That's a great idea!  If this were implemented, I'd like to see a set of
> emacs-like key-bindings.  Heck, if someone points me to the right place i=
n
> the code, I'll do it myself.
>
> E
>
>
>
> -------------------------------------------------------
> This SF.Net email is sponsored by:
> Power Architecture Resource Center: Free content, downloads, discussions,
> and more. http://solutions.newsforge.com/ibmarch.tmpl
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

>>>>> "Erik" == Erik Curiel <ec...@ke...> writes:

    >> some suggested shortcut keys, (ctrl+)s = save as...  z = zoom
    >> to rectangle p = pan (and zoom) alt+right arrow, backspace =
    >> back alt+left arrow = forward esc, ctrl+w = close figure window
    >> 
    >> we already have the neat f for fullscreen.

    Erik> That's a great idea!  If this were implemented, I'd like to
    Erik> see a set of emacs-like key-bindings.  Heck, if someone
    Erik> points me to the right place in the code, I'll do it myself.

Never one to turn down free help...

The code is lib/matplotlib/backend_bases.py in FigureManagerBase.key_press

    def key_press(self, event):

        # these bindings happen whether you are over an axes or not
        #if event.key == 'q':
        #    self.destroy() # how cruel to have to destroy oneself!
        #    return

        if event.key == 'f':
            self.full_screen_toggle()

        if event.inaxes is None:
            return

        # the mouse has to be over an axes to trigger these
        if event.key == 'g':
            event.inaxes.grid()
            self.canvas.draw()
        elif event.key == 'l':
            event.inaxes.toggle_log_lineary()
            self.canvas.draw()


Some events like 'f' are applicable anywhere in the figure and some
are only appropriate over and axes.  event.inaxes is the axes the
event occurs over, or none.

If you want to simulate clicking the toolbar, you need to call the
appropriate toolbar method.  The class NavigationToolbar2 is in the
same module, eg toolbar.home(), toolbar.press_zoom(event).  For funcs
that need an event, you should just be able to pass in the key event
you get in key_press.

You can access the toolbar as self.toolbar, where self is the
FigureManager instance.

Have fun!

JDH

> some suggested shortcut keys,
> (ctrl+)s = save as...
> z = zoom to rectangle
> p = pan (and zoom)
> alt+right arrow, backspace = back
> alt+left arrow = forward
> esc, ctrl+w = close figure window
> 
> we already have the neat f for fullscreen.

That's a great idea!  If this were implemented, I'd like to see a set of
emacs-like key-bindings.  Heck, if someone points me to the right place in
the code, I'll do it myself.

E

Hi matplotlib users,

I have a long list of ungridded data that I would like to make a contour plot 
of. The data is simply a list of (longitude, latitude, datavalue) with the 
data value belonging the given longitude and latitude. As far as I understand 
contour() only accepts gridded data values.

The solution is probably to interpolate the unstructured data to a regular 
grid and then plot the data. Has anyone tried doing that or know where to 
look for an interpolation/triangulation routine?

Cheers,
Jesper

Dear matplotlib XP users,

I am battling with matplotlib and LaTeX for text handeling.

I am running Windows XP, python 2.3.5, matplotlib-0.83.2. ... and
MiKTeX...

With the WXAgg backend I don't see any text at all in any window, with:

text.usetex         : 	True =20

In my matplotlibrc file...


With PS backend with no show() line and a savefig(epsfilename) line, I
got the following error:

...
IOError: [Errno 2] No such file or directory:
'890ab9460a8ecc8327114aa4d5689212.eps'


I changed line 1097 in backend_ps.py to read:

                command =3D 'gswin32c -dBATCH -dNOPAUSE -dSAFER -r%d \

instead of:

                command =3D 'gs -dBATCH -dNOPAUSE -dSAFER -r%d \

Now at leas it writes the eps file, but GSView gives the following
error:

Unrecoverable error: configurationerror in setpagedevice
Operand stack:
    false  --nostringval--
Failed to open device or install ViewerPreProcess hook: returns -26

I then tried to see if savefig(psfilename) would work, but now I get the
error:

IOError: [Errno 2] No such file or directory:
'5cdf9668d6b377717ccafe1ddfbafb10.ps'

Probable indicating an error with the 'dvips' command... ?

Any ideas on what to do...  I'll leave it till Monday morning...

Kind regards and enjoy the weekend

   Peter-Jan Randewijk
   Senior Lektor - Drywingselektronika & Elektriese Aandrywing =20
=20
-oOOOOOOOOOOOOOOOOOOOOOOOOOOo-=20
    Departement E&E. Ingenieurswese - E313
    Universiteit Stellenbosch=20
    Privaatsak X1=20
    Matieland, 7603
    Suid-Afrika
    Tel:  +27 (0) 21 808 4457 (w)=20
    Faks: +27 (0) 21 808 3951 (w)=20
    Tel:  +27 (0) 21 883 8592 (h)=20
    Sel:  +27 (0) 83 556 5809 (h)
    Epos: pjr...@su... (w)
-oOOOOOOOOOOOOOOOOOOOOOOOOOOo-=20

>>>>> "Willi" == Willi Richert <ri...@c-...> writes:

    Willi> Thanks, that helped! Switching to QtAgg did the trick.
    Willi> However, I have still some issues: 1) the text placement of
    Willi> the titles does not really work:
    Willi> http://wr.objectis.net/Members/Papst/Matplotlib_Problems

    Willi> 2) The confidence intervals are only vertical lines. I
    Willi> would like to have some small horizontal "stoppers" at the
    Willi> upper and lower point of those error bars.  Is that
    Willi> possible with matplotlib?


Could you post the script -- hard to debug in a vacuum.

JDH