matplotlib-users Mailing List for matplotlib (Page 14)

Mathew Yeates wrote:
> Hi
> How easy is it to customize the Basemap class? I seem to remember an 
> example where something is added to the toolbar but I can't remember 
> which example it was. What if I want to add a menu at the top of the window?
>
> Mathew
>
>   

Mathew:


Basemap doesn't handle any GUI stuff - this is all done by matplotlib 
proper.  So, you'll need to look at the matplotlib docs to see how to 
customize the toolbar.

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

Hi
How easy is it to customize the Basemap class? I seem to remember an 
example where something is added to the toolbar but I can't remember 
which example it was. What if I want to add a menu at the top of the window?

Mathew

On Mon, 2008-10-06 at 08:04 -0500, John Hunter wrote:
> On Mon, Oct 6, 2008 at 3:52 AM, Henry Proudhon <hen...@en...> wrote:
> > Hi everyone,
> >
> > I wonder if there is a simple way to apply a multiplication factor to
> > the ticks labels of an axis.
> >
> > say I'm plotting a 100 x 100 matrix with imshow and want the axis to
> > show (0 to 70) instead of (0 to 100), while still displaying the whole
> > matrix. In that case the coefficient would be 0.7.
> >
> > I had a look at the Formatter class but I cannot find a method to do
> > that, do I've to implement a custom formatter or I'm missing something
> > obvious here ?
> 
> Use the "extent" keyword argument to imshow to set the [xmin, xmax,
> ymin, ymax] extent of the image
> 
> JDH

Thanks a lot John, works great.

Henry

jcarnes schrieb:
> I am writing a GUI application in wxPython and using MPL that plots figures,
> saves them to image files, and then closes them all from within a thread to
> keep the GUI responsive. Using the Enthought 2.3 install I would
> sporatically have crashes that were hard to reproduce, but now that I've
> upgrade to Enthought 2.5 (Python 2.5 and MPL 0.91.2.0001) it started
> throwing exceptions when attempting to close a figure that I don't
> understand. I've created an example script that excites the exception. I'm
> not sure if the syptoms are a combination of problems caused by my use of
> threads but this problem does not occur if threading is removed from the
> script. I've read of others experiencing memory leaks and such when closing
> figures, but no situations quite like this.
>
> I am working from a desktop in Windows XP and I use the WXAgg backend.
>
> Does anyone have any ideas, or any feedback on my use of threads? Thanks,
> Josh
>   

wxPython and multithreading don't go well together. Have a look at the 
wxWidgets docs about multithreading. Changes to the GUI (this includes 
closing a window) should only be done from the main thread.

Continously creating and destroying a figure window seems not necessary 
in your application. Create it once in the main thread ((have a look at 
the embedding_in_wx examples of matplotlib) and  only clear/replot it in 
your thread. In my experience replotting from the main thread is fast 
enough, saving to a file takes more time, this is worth to be done in 
another thread.

Gregor

On Mon, Oct 6, 2008 at 3:52 AM, Henry Proudhon <hen...@en...> wrote:
> Hi everyone,
>
> I wonder if there is a simple way to apply a multiplication factor to
> the ticks labels of an axis.
>
> say I'm plotting a 100 x 100 matrix with imshow and want the axis to
> show (0 to 70) instead of (0 to 100), while still displaying the whole
> matrix. In that case the coefficient would be 0.7.
>
> I had a look at the Formatter class but I cannot find a method to do
> that, do I've to implement a custom formatter or I'm missing something
> obvious here ?

Use the "extent" keyword argument to imshow to set the [xmin, xmax,
ymin, ymax] extent of the image

JDH

On Mon, Oct 6, 2008 at 7:15 AM, Michael Droettboom <md...@st...> wrote:
> In 0.98 ellipse is drawn using bezier curves, which do not scale
> correctly in log-scaled plots.
>
> As an alternative, you can use a RegularPolygon with a high number of
> vertices (this is exactly what 0.91 did).

Here is some example code which compares the polygonal ellipse with
the spline version to get you started if you decide to go with the
polygonal appromximation Michal suggest:

import numpy as npy
from matplotlib import patches
from pylab import figure, show

xcenter, ycenter = 0.38, 0.52
#xcenter, ycenter = 0., 0.
width, height = 1e-1, 3e-1
angle = -30

theta = npy.arange(0.0, 360.0, 1.0)*npy.pi/180.0
x = width/2. * npy.cos(theta)
y = height/2. * npy.sin(theta)

rtheta = angle*npy.pi/180.
R = npy.array([
    [npy.cos(rtheta),  -npy.sin(rtheta)],
    [npy.sin(rtheta), npy.cos(rtheta)],
    ])


x, y = npy.dot(R, npy.array([x, y]))
x += xcenter
y += ycenter

fig = figure()
ax = fig.add_subplot(211, aspect='auto')
ax.fill(x, y, alpha=0.2, facecolor='yellow', edgecolor='yellow',
linewidth=1, zorder=1)

e1 = patches.Arc((xcenter, ycenter), width, height,
             angle=angle, linewidth=2, fill=False, zorder=2)

ax.add_patch(e1)

ax = fig.add_subplot(212, aspect='equal')
ax.fill(x, y, alpha=0.2, facecolor='green', edgecolor='green', zorder=1)
e2 = patches.Arc((xcenter, ycenter), width, height,
             angle=angle, linewidth=2, fill=False, zorder=2)


ax.add_patch(e2)

#fig.savefig('ellipse_compare.png')
fig.savefig('ellipse_compare')

show()

imshow always assumes a regular rectangular grid of pixels.  To plot 
image data on a non-rectilinear projection, you need to use pcolor or 
pcolormesh.

You may also want to look at the basemap toolkit, which provides much 
better support for geographic projections.  The ones included in 
matplotlib are essentially "toy" examples to test the infrastructure, 
but aren't really intended for advanced usage.

Cheers,
Mike

dasratsel wrote:
> Hi,
>
> I've done some poking an I can't find a way to use imshow() to plot a
> luminosity map on a hammer projection. (looking to generate a plot like
> http://en.wikipedia.org/wiki/Image:WMAP_2008.png). Just setting the
> projection in a call to subplot gives some axes and an off-center retangular
> image of my array. Bearing in mind that I am completely new to matplotlib,
> does anyone have an idea of how to get this sort of plot?
>
> Thanks,
> Kris
>
> (PS. Apologies if this shows up in two places, I'm not used to using mailing
> lists)
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Eric Firing wrote:
> dasratsel wrote:
>   
>> Hi,
>>
>> I've done some poking an I can't find a way to use imshow() to plot a
>> luminosity map on a hammer projection. (looking to generate a plot like
>> http://en.wikipedia.org/wiki/Image:WMAP_2008.png). Just setting the
>> projection in a call to subplot gives some axes and an off-center retangular
>> image of my array. Bearing in mind that I am completely new to matplotlib,
>> does anyone have an idea of how to get this sort of plot?
>>
>> Thanks,
>> Kris
>>
>> (PS. Apologies if this shows up in two places, I'm not used to using mailing
>> lists)
>>     
>
> Kris,
>
> For any sort of mapping like this, you will probably want to use basemap 
> matplotlib toolkit, except that I don't see "hammer" among the supported 
> projections.
>
> With straight mpl, imshow does not support projections.  You could use 
> pcolor (very slow) or pcolormesh.  In neither case will you get 
> interpolation; you will be specifying colored quadrilaterals.
>
> Eric
>
>
>   
Kris:  Basemap does not support the 'hammer' projection, but it does 
have mollweide, which is very similar.  Something like this ought to do it:

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
# lon_0 is the center longitude of the data.
map = Basemap(projection='moll',lon_0=180)
# lons, lats are the longitudes and latitudes of the data
# lons.shape, lats.shape = data.shape
x, y = map(lons,lats)
# make a filled mesh plot.
im = map.pcolormesh(x,y,data,cmap=plt.cm.jet)
# draw a boundary around the map
map.drawmapboundary()
plt.show()


-Jeff




-- 
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/PSD1        FAX   : (303)497-6449
325 Broadway                Boulder, CO, USA 80305-3328

On Monday 29 September 2008 13:35:57 Buz Barstow wrote:
> Dear All,
>
> Does anyone know of a citation that I can use for Numpy?
>
> Thanks! and all the best,

I found the following link that discusses a few options, but you may want to 
ask on the numpy-discussion mailing list if there is a more up-to-date and 
preferred option:

http://www.mail-archive.com/num...@sc.../msg04303.html

In 0.98 ellipse is drawn using bezier curves, which do not scale 
correctly in log-scaled plots.

As an alternative, you can use a RegularPolygon with a high number of 
vertices (this is exactly what 0.91 did).

Mike

Yves Revaz wrote:
> Dear list,
>
> How is it possible to draw a nice ellipse in a log-log plot using 
> patches.Ellipse ?
> With matplotlib 0.91 I was able to to that using :
> Ellipse((log10(100),log10(100)), width=100, height=100,alpha=0.5)
>
> Now, it seems that something has changed in version 0.98 and I do not 
> need to ad the log10
> in Ellipse. However, instead of having a nice ellipse, I get a kind of 
> patatoïd ?
> See the example below.
> How can I fix it ?
>
> Thanks in advance,
>
> yves
>
>
>
>
>
> from numpy import *
> import pylab as pt
> from matplotlib.patches import Ellipse
>
>
> ax = pt.gca()
>
> e = Ellipse((100,100), width=100, height=100,alpha=0.5)
> ax.add_artist(e)  
>
> pt.semilogx()
> pt.semilogy()
>
> pt.axis([1,1e3,1,1e3])
>
> pt.show()
>
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hi everyone,

I wonder if there is a simple way to apply a multiplication factor to
the ticks labels of an axis.

say I'm plotting a 100 x 100 matrix with imshow and want the axis to
show (0 to 70) instead of (0 to 100), while still displaying the whole
matrix. In that case the coefficient would be 0.7.

I had a look at the Formatter class but I cannot find a method to do
that, do I've to implement a custom formatter or I'm missing something
obvious here ?

many thanks
Henry

Dear list,

How is it possible to draw a nice ellipse in a log-log plot using 
patches.Ellipse ?
With matplotlib 0.91 I was able to to that using :
Ellipse((log10(100),log10(100)), width=100, height=100,alpha=0.5)

Now, it seems that something has changed in version 0.98 and I do not 
need to ad the log10
in Ellipse. However, instead of having a nice ellipse, I get a kind of 
patatoïd ?
See the example below.
How can I fix it ?

Thanks in advance,

yves





from numpy import *
import pylab as pt
from matplotlib.patches import Ellipse


ax = pt.gca()

e = Ellipse((100,100), width=100, height=100,alpha=0.5)
ax.add_artist(e)  

pt.semilogx()
pt.semilogy()

pt.axis([1,1e3,1,1e3])

pt.show()

-- 
                                                 (o o)
--------------------------------------------oOO--(_)--OOo-------
  Yves Revaz
  Laboratory of Astrophysics EPFL
  Observatoire de Sauverny     Tel : ++ 41 22 379 24 28
  51. Ch. des Maillettes       Fax : ++ 41 22 379 22 05
  1290 Sauverny             e-mail : Yve...@ep...
  SWITZERLAND                  Web : http://www.lunix.ch/revaz/
----------------------------------------------------------------

Thanks for all replies.
I got a solution by copying some files from SVN trunk revision 6155. I did
as follow:

svn co
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib

sudo cp
-b matplotlib/lib/matplotlib/backends/backend_pdf.py
/sw/lib/python2.5/site-packages/matplotlib/backends
sudo cp
-b matplotlib/lib/matplotlib/config/mplconfig.py
/sw/lib/python2.5/site-packages/matplotlib/config
sudo cp
-b matplotlib/lib/matplotlib/mlab.py /sw/lib/python2.5/site-packages/matplotlib/
sudo cp
-b matplotlib/lib/matplotlib/path.py /sw/lib/python2.5/site-packages/matplotlib
sudo cp
-b matplotlib/lib/matplotlib/rcsetup.py
/sw/lib/python2.5/site-packages/matplotlib

Cheers,
Alan

On Fri, Oct 3, 2008 at 1:21 PM, Michael Droettboom <md...@st...> wrote:

> Are you perhaps trying to plot data containing NaN or Inf?  If so, this is
> a known bug in 0.98.3 that has seen been corrected on SVN trunk.
>
> A workaround is to pass masked arrays (where the NaNs and Infs are masked
> out) to matplotlib instead.
>
> But this bug should be gone in the next release of matplotlib.  If you're
> comfortable building from SVN, you could even try that now.
>
> Cheers,
> Mike
>
>
> Alan wrote:
>
>> Dear all,
>>
>> I don't know much how to express this issue I am having but I will try.
>>
>> We are developing an application (CING: cing.googlecodes.com) and we
>> have some routines to test the sanity of our code.
>>
>> I am developing in python, on a mac book pro with Mac OSX tiger and FINK.
>>
>> So when we were using matplotlib 0.90.1 and numpy 1.0.4 the routine
>> below was running fine.
>>
>> Then I updated all from Fink, having now mtplib 0.98.3 and numpy 1.1.1
>> and problems started to appear.
>>
>> I could solve all (e.g. replace verify_intervals()) but one, as shown
>> below.
>>
>> I don't have much idea at moment how to debug it better, but it seems
>> that I cannot generate the PDFs because mtplib functions don't guess a
>> finite number of pages.
>>
>> I hope someone can give any idea.
>>
>> Many thanks in advance.
>>
>> Alan
>>
>> ======================================================================
>> ERROR: testMoleculePlot (cing.Libs.test.test_NTMoleculePlot.AllChecks)
>> ----------------------------------------------------------------------
>> Traceback (most recent call last):
>>  File
>> "/Users/alan/workspace/cingWork/python/cing/Libs/test/test_NTMoleculePlot.py",
>> line 178, in testMoleculePlot
>>    createPngCopyToo=True  )
>>  File "/Users/alan/workspace/cingWork/python/cing/Libs/NTmoleculePlot.py",
>> line 176, in renderMoleculePlotSet
>>    if ps.hardcopy(fileNameList[r-1]):
>>  File "/Users/alan/workspace/cingWork/python/cing/Libs/NTplot.py",
>> line 1201, in hardcopy
>>    savefig(fileName)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/pyplot.py", line
>> 342, in savefig
>>    return fig.savefig(*args, **kwargs)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/figure.py", line
>> 964, in savefig
>>    self.canvas.print_figure(*args, **kwargs)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/backend_bases.py",
>> line 1310, in print_figure
>>    **kwargs)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/backend_bases.py",
>> line 1204, in print_pdf
>>    return pdf.print_pdf(*args, **kwargs)
>>  File
>> "/sw/lib/python2.5/site-packages/matplotlib/backends/backend_pdf.py",
>> line 1864, in print_pdf
>>    self.figure.draw(renderer)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/figure.py", line 759, in
>> draw
>>    for a in self.axes: a.draw(renderer)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/axes.py", line 1523, in
>> draw
>>    a.draw(renderer)
>>  File "/sw/lib/python2.5/site-packages/matplotlib/lines.py", line 437, in
>> draw
>>    markerFunc(renderer, gc, tpath, affine.frozen())
>>  File "/sw/lib/python2.5/site-packages/matplotlib/lines.py", line
>> 885, in _draw_plus
>>    path, path_trans)
>>  File
>> "/sw/lib/python2.5/site-packages/matplotlib/backends/backend_pdf.py",
>> line 1253, in draw_markers
>>    marker, Op.use_xobject)
>>  File
>> "/sw/lib/python2.5/site-packages/matplotlib/backends/backend_pdf.py",
>> line 451, in output
>>    self.write(fill(map(pdfRepr, data)))
>>  File
>> "/sw/lib/python2.5/site-packages/matplotlib/backends/backend_pdf.py",
>> line 124, in pdfRepr
>>    raise ValueError, "Can only output finite numbers in PDF"
>> ValueError: Can only output finite numbers in PDF
>>
>> ----------------------------------------------------------------------
>>
>>
>
> --
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>
>


-- 
Alan Wilter S. da Silva, D.Sc. - CCPN Research Associate
Department of Biochemistry, University of Cambridge.
80 Tennis Court Road, Cambridge CB2 1GA, UK.
>>http://www.bio.cam.ac.uk/~awd28<<

dasratsel wrote:
> Hi,
> 
> I've done some poking an I can't find a way to use imshow() to plot a
> luminosity map on a hammer projection. (looking to generate a plot like
> http://en.wikipedia.org/wiki/Image:WMAP_2008.png). Just setting the
> projection in a call to subplot gives some axes and an off-center retangular
> image of my array. Bearing in mind that I am completely new to matplotlib,
> does anyone have an idea of how to get this sort of plot?
> 
> Thanks,
> Kris
> 
> (PS. Apologies if this shows up in two places, I'm not used to using mailing
> lists)

Kris,

For any sort of mapping like this, you will probably want to use basemap 
matplotlib toolkit, except that I don't see "hammer" among the supported 
projections.

With straight mpl, imshow does not support projections.  You could use 
pcolor (very slow) or pcolormesh.  In neither case will you get 
interpolation; you will be specifying colored quadrilaterals.

Eric

Hi,

I've done some poking an I can't find a way to use imshow() to plot a
luminosity map on a hammer projection. (looking to generate a plot like
http://en.wikipedia.org/wiki/Image:WMAP_2008.png). Just setting the
projection in a call to subplot gives some axes and an off-center retangular
image of my array. Bearing in mind that I am completely new to matplotlib,
does anyone have an idea of how to get this sort of plot?

Thanks,
Kris

(PS. Apologies if this shows up in two places, I'm not used to using mailing
lists)
-- 
View this message in context: http://www.nabble.com/luminocity-plot-on-hammer-projection-tp19829899p19829899.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Angus McMorland wrote:
> Hi all,
> 
> I'm trying to plot a colour bar for a scatter plot, and set the
> maximum value of the plot to something arbitrary. At the moment it
> always comes up as 255. How can I change this?
> 
> ax = plt.gca()
> pts = ax.scatter(coords[:,0], coords[:,1], c=np.linspace(0,1,n_pts), s=16,
>                          edgecolors='k', linewidth=1)
> 
> Also, there seem to be many different ways to make colorbars associate
> with certain objects like the colorbar keyword to scatter perhaps, but
> the simplest/only way to create a colorbar that I can get to work is:
> 
> ax.figure.colorbar(ax.images[0])
> 
> Is there a better way to do this so the vmin and vmax attributes of
> the scatter plot get used in the colorbar?
> 
> Thanks,
> 
> Angus.

Maybe I am misunderstanding you, but the ipython -pylab approach looks 
like this:

In [1]:x = rand(20)

In [2]:y = rand(20)

In [3]:z = rand(20)*10

In [4]:scatter?

In [5]:sc = scatter(x, y, c=z)

In [6]:sc
Out[6]:<matplotlib.collections.RegularPolyCollection object at 0x8d8dd6c>

In [7]:colorbar?

In [8]:colorbar(sc)
Out[8]:<matplotlib.colorbar.Colorbar instance at 0x92d29cc>


The more object-oriented approach with ax.scatter, etc. is essentially 
the same.  If color mapping is used by scatter, then the collection it 
returns is a "mappable", which is the argument colorbar needs to make 
the connection.

Eric

Hi all,

I'm trying to plot a colour bar for a scatter plot, and set the
maximum value of the plot to something arbitrary. At the moment it
always comes up as 255. How can I change this?

ax = plt.gca()
pts = ax.scatter(coords[:,0], coords[:,1], c=np.linspace(0,1,n_pts), s=16,
                         edgecolors='k', linewidth=1)

Also, there seem to be many different ways to make colorbars associate
with certain objects like the colorbar keyword to scatter perhaps, but
the simplest/only way to create a colorbar that I can get to work is:

ax.figure.colorbar(ax.images[0])

Is there a better way to do this so the vmin and vmax attributes of
the scatter plot get used in the colorbar?

Thanks,

Angus.
-- 
AJC McMorland
Post-doctoral research fellow
Neurobiology, University of Pittsburgh

Jae-Joon Lee wrote:
>> Done, except that it just raises a warning, and still works with the old
>> kwarg.  The new kwarg is "borderpad"; it is used if pad==0, which is the new
>> rc default.  I set the default borderpad=0.5.
>>
>> There is still too much other positioning in legend that is based on axes
>> units.  I briefly tried to start changing others, again with additional
>> kwargs, and things quickly fell apart.  Legend needs considerable reworking
>> to take full advantage of the transforms framework (and maybe other mpl
>> improvements since the original legend) and to put all positioning kwargs
>> and code in sensible units.  It is amazing that the present code works as
>> well as it does.
>>
>> The way to make a transition may be via a separate version for a while.
>> There could be a single interface, with a kwarg to choose the version.
>>
> 
> Thanks Eric.
> 
> I would like to help reworking on the legend class.
> I once tried to incorporate the FancyBox into the legend but the
> result is not satisfactory because the legend bounding box is defined
> as axes units in the current implementation (see the attached
> screenshot). And I guess it would be better do things in the display
> coordinate.
> 
> Also, in the current implementation, the vertical spacing between each
> legend varies according to the height of the legend text. For example,
> in the attached screenshot, the spacings between "ac", "ag", "lg" are
> all different and this is because their text heights are different. I
> think it is better if we have a fixed spacing, or have a minimum
> spacing as the text height of "lg". And use the baseline-alignment if
> possible.

Jae-Joon,

It would be great if you would take this on.  I agree about the spacing. 
I suspect there are good opportunities for factoring out parts of the 
problem in such a way that they can be used more flexibly in legend, and 
may turn out to be useful elsewhere.  An ability to nicely format plot 
elements (line segments, etc.) with text into a block would facilitate 
satisfying another request that has come up: a legend with more than one 
column, or a legend that is entirely horizontal.

Eric

On dimanche 05 octobre 2008, jcarnes wrote:
> I am writing a GUI application in wxPython and using MPL that plots
> figures, saves them to image files, and then closes them all from within a
> thread to keep the GUI responsive.

   Normally only the main thread should alter the graphics - you'll have 
crashes if you try to do it otherwise. If you want to perform calculations in 
a separate thread to keep the GUI responsive, you have to send an event from 
the working thread to the main thread, so that the main thread does the GUI 
update.

http://docs.wxwidgets.org/stable/wx_wxthreadoverview.html#wxthreadoverview

   Well, at least that's the story from my C++ wx knowledge, but it is 
probably still valid in Python.

Another interesting read from the samples page:
http://docs.wxwidgets.org/trunk/page_samples.html#page_samples_thread

  Maybe simply using wxMutexGUIEnter() / wxMutexGUILeave() will sort your 
problems, but I've not tried this method.

	Vincent
-- 
Vincent Favre-Nicolin

CEA Grenoble/INAC/SP2M			http://inac.cea.fr
Univ. Joseph Fourier (Grenoble) http://www.ujf-grenoble.fr

ObjCryst & Fox			http://objcryst.sf.net/Fox

>
> Done, except that it just raises a warning, and still works with the old
> kwarg.  The new kwarg is "borderpad"; it is used if pad==0, which is the new
> rc default.  I set the default borderpad=0.5.
>
> There is still too much other positioning in legend that is based on axes
> units.  I briefly tried to start changing others, again with additional
> kwargs, and things quickly fell apart.  Legend needs considerable reworking
> to take full advantage of the transforms framework (and maybe other mpl
> improvements since the original legend) and to put all positioning kwargs
> and code in sensible units.  It is amazing that the present code works as
> well as it does.
>
> The way to make a transition may be via a separate version for a while.
> There could be a single interface, with a kwarg to choose the version.
>

Thanks Eric.

I would like to help reworking on the legend class.
I once tried to incorporate the FancyBox into the legend but the
result is not satisfactory because the legend bounding box is defined
as axes units in the current implementation (see the attached
screenshot). And I guess it would be better do things in the display
coordinate.

Also, in the current implementation, the vertical spacing between each
legend varies according to the height of the legend text. For example,
in the attached screenshot, the spacings between "ac", "ag", "lg" are
all different and this is because their text heights are different. I
think it is better if we have a fixed spacing, or have a minimum
spacing as the text height of "lg". And use the baseline-alignment if
possible.

Regards,

-JJ

Back in March, 2007, a user asked about getting the resize_even to work. 
No one responded to his question. I have the same problem. I tried 
hooking up a method that I hoped would be called every time the graph 
was resized (using the UI that is displayed by a show() call).

connect('resize_event', plotutils.recalculateTimeSeriesXLabels)

However, my method is never called, even when I maximize the window.

Here is his email as well:

Trying to get resize event to work, but either I don't understand the 
definition of when resize_event should work, or  it's broken.

for example
=======================
from matplotlib import pylab , numerix

def GotResizeEvent( event ):
    print 'Resize event detected'

def GotDrawEvent( event ):
    print 'Draw event detected'

X = range(0, 200)
Y = pylab.sin(X)

r = pylab.plot(X,Y)
pylab.connect( 'resize_event', GotResizeEvent)
pylab.connect( 'draw_event', GotDrawEvent)
pylab.show()
=========================
Will only get draw_events as I zoom in on the data, never a resize event?
I also get draw_events as I resize the window itself, but never a 
resize_event.

So my question, .. what user activity triggers a resize event?


-- 
Jon Froehlich
PhD Student
Computer Science and Engineering
University of Washington
http://www.cs.washington.edu/homes/jfroehli

Hi all,

I'm trying to install the latest matplotlib on a couple of machines.

They both run the same OS (an old custom version between Fedora 2 and 3) 
but the rest of the setup are rather different. For the curious, one is 
an MR scanner and the other is a developmental machine for compiling 
pulse-sequences etc.

I have root permissions on both, but would rather not disturb the 
installed directory tree. What is the best/recommended way of going 
about it?

1. Is it possible to install matplotlib ( and its requirements ) in the 
developmental machine in a separate root directory, export it and mount 
from the other machine? The idea is to install once and use those from 
both. Would this work? What backends would work on this setup?

2. This is to be used for dynamically plotting the data coming out of 
the scanner. I'm also thinking of embedding it in an UI. Can all the UI 
backends handle the rate of about 10 FPS with each data ~5K short-ints?

Thanks for your time,
Venkat.

On Sun, Oct 5, 2008 at 3:50 AM, rocha <ber...@me...> wrote:

>>> self.canvas.figure.clf()
>>> self.canvas.draw()
>>> self.canvas.axes.plot([1.,2.,4.])
>>>
>>> and nothing is plotted. The Figure is totally gray. I tried to do the
>>> same thing in embedding_in_qt4.py example, modifying some parts, but it
>>> didn't work too.
>>>
>>> Do you have any suggestions?

The problem appears to be that you have kept a copy of your old axes
around (self.canvas.axes is not a mpl construct, so it looks like you
have attached an axes instance to your canvas instance).  You will
want to either not clear your figure and clear your axes instead

  ax.cla()
  ax.plot([1,2,3])
  canvas.draw()

or clear your figure, create a new axes, plot and then draw

   fig.clf()
   ax = fig.add_subplot(111)
   ax.plot([1,2,3])
   ax.draw()

Be careful with the name "axes" to refer to a single axes instance
attached to your canvas.  In the mpl scheme, axes is a list of Axes
instance and is attached to the Figure instance.  See for example

  http://matplotlib.sourceforge.net/doc/html/users/artists.html

JDH

ber...@xn... (Berthold
Höllmann) writes:

> (Pdb) print self._header
> {'Notice': 'Copyright (c) 1999 Ministry of Education, Taipei, Taiwan. All Rights Reserved.', 'Ascender': 880.0, 'FontBBox': [-123, -250, 1000, 880], 'Weight': 'Regular', 'Descender': -250.0, 'CharacterSet': 'Adobe-CNS1-0', 'IsFixedPitch': False, 'FontName': 'MOEKai-Regular', 'StartFontMetrics': 4.0999999999999996, 'CapHeight': 880.0, 'Version': '1.000', 'UnderlinePosition': -100, 'Characters': 13699, 'UnderlineThickness': 50, 'ItalicAngle': 0.0, 'StartCharMetrics': 13699}

That AFM file doesn't include a family name or a full name for the font
it describes. It seems that both are in fact optional attributes. I have
committed a change (on the trunk, and in the maintenance branch) that
should fix this, but since I don't have any AFM files like this, I can't
check that it works. Can you check out either the trunk or the
maintenance branch from Subversion, or apply the following patch and try
again?

-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Hi Jae-Joon Lee,

I tried it but unfortunately it didn't work too. After the Figure is 
cleared I cannot plot again.

I've attached the whole code that I'm trying to do this, I hope it could 
help a little bit. I modified the original example just to test this 
feature.

Thanks!
Bernardo M. Rocha

Jae-Joon Lee wrote:
> I guess you need to put draw() after plot()
>
> self.canvas.figure.clf()
> self.canvas.axes.plot([1.,2.,4.])
> self.canvas.draw()
>
> Let us know if it does not help.
>
> -JJ
>
>
>
> On Sat, Oct 4, 2008 at 7:17 PM, rocha <ber...@me...> wrote:
>   
>> Hi Guys,
>>
>> I need to clear the Figure after the user has clicked the some button in
>> PyQt, but when I try to plot the graphics again nothing appear. In
>> ipython it works, but when I try it inside my application it does not
>> work. What am I missing?
>>
>> Inside my MplCanvas class (actually it is a QWidget - see
>> embedding_in_qt4.py in matplotlib examples file - user_interface) I have
>> this code:
>>
>> self.fig = Figure(figsize=(self.width, self.height), dpi=dpi)
>>
>> And then in my main application I'm trying to do:
>>
>> self.canvas.figure.clf()
>> self.canvas.draw()
>> self.canvas.axes.plot([1.,2.,4.])
>>
>> and nothing is plotted. The Figure is totally gray. I tried to do the
>> same thing in embedding_in_qt4.py example, modifying some parts, but it
>> didn't work too.
>>
>> Do you have any suggestions?
>>
>> Thanks!
>> Best regards,
>> Bernardo M. Rocha
>>
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