Re: [Matplotlib-users] Colormap cluttering?

2008-07-29 Thread Laurent Dufréchou
Hi andrew, eric,

Excellent that is exactly what I was looking for :)

Laurent

> -Message d'origine-
> De : Eric Firing [mailto:[EMAIL PROTECTED]
> Envoyé : mardi 29 juillet 2008 02:39
> À : Laurent Dufrechou
> Cc : matplotlib-users@lists.sourceforge.net
> Objet : Re: [Matplotlib-users] Colormap cluttering?
> 
> Laurent Dufrechou wrote:
> > Hello,
> >
> >
> >
> > I would like to have a cluttering functionality to colorbar.
> >
> > http://en.wikipedia.org/wiki/Clutter_(radar)
> >
> >
> >
> > Before writing it, I would like to know if there is a way to doing it
> > with matplotlib.
> >
> > What I mean by cluttering is:
> >
> >
> >
> > You’ve got a colormap associated with a graphic where value goes from
> 0
> > to 255 for example.
> >
> > Assigning a classical colormap (for example cm.jet) 0 value will be
> blue
> > and 255 one will be red.
> >
> > What I need is a low  clutter and max clutter, if I set low clutter
> to
> > 10 and ax cluter to 250 then:
> >
> > Blue will be for value from 0 to 10
> >
> > Then the colormap do his job from 10 to 250 and finally
> >
> >  From 250 to 255 colr will be set to max one = red.
> >
> >
> >
> > Is it ever done in matplotlib, if not what could be the strategy
> here…?
> >
> > I was thinking of set_over/set_under but seems not be exactly what I
> > need because I want to recreate the colormap from 10 to 250 with N
> segments.
> >
> > (moreover I don’t understand how you set the over/under value…)
> 
> If you don't really care how many colors are in the map, then for your
> 0-255 example, try this:
> 
> import numpy as np
> import matplotlib.pyplot as plt
> fakedata = np.random.rand(10,20) * 255.0
> cmap = plt.cm.jet
> norm = plt.Normalize(vmin=100, vmax=150)
> plt.imshow(fakedata, cmap=cmap, norm=norm, interpolation="nearest")
> plt.colorbar(extend="both")
> plt.show()
> 
> I made the colored range small to emphasize what you call the
> "cluttering" effect.
> 
> We are taking advantage of the default, which is that the over and
> under
> values are the top and bottom ends of the colormap.  If you want other
> colors for the ends, then after defining your cmap, use, e.g.:
> 
> cmap.set_under('w')
> cmap.set_over('k')
> 
> If you want to use a smaller number of colors in your colormap, then
> you
> need to make the colormap this way, for example:
> 
> from matplotlib.colors import LinearSegmentedColormap
> from matplotlib._cm import _jet_data
> cmap = LinearSegmentedColormap("yourname", _jet_data, N=10)
> 
> (I should add a helper function to make this more obvious and
> straightforward.)
> 
> Eric


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[Matplotlib-users] text picker

2008-07-29 Thread Ben Axelrod
Text picking does not seem to work for me anymore since I upgraded from 0.91.4 
to 0.98.1.

These lines should set up the picker.  They come straight from 
"pick_event_demo.py"

ax1.set_title('click on points, rectangles or text', picker=True)
ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))

fig.canvas.mpl_connect('pick_event', onpick1)

def onpick1(event):
if isinstance(event.artist, Line2D):
thisline = event.artist
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
print 'onpick1 line:', zip(npy.take(xdata, ind), npy.take(ydata, 
ind))
elif isinstance(event.artist, Rectangle):
patch = event.artist
print 'onpick1 patch:', patch.get_path()
elif isinstance(event.artist, Text):
text = event.artist
print 'onpick1 text:', text.get_text()


I apologize if this is a known issue. I tried searching the listserve, but did 
not find anything.
-Ben
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Re: [Matplotlib-users] text picker

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 10:55 AM, Ben Axelrod <[EMAIL PROTECTED]> wrote:
> Text picking does not seem to work for me anymore since I upgraded from
> 0.91.4 to 0.98.1.

This is fixed in matplotlib svn and will be out in the next release.

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[Matplotlib-users] bar plot picker with 0 height data

2008-07-29 Thread Ben Axelrod
I get an exception when I set up a bar chart with a picker that has a bar with 
0 height, and I click on the chart.

Code to generate exception:

from matplotlib.pyplot import figure, show
import numpy as np

def onpick1(event):
print 'foo'

fig = figure()
ax = fig.add_subplot(111)

xdata = [1, 2, 3]
ydata = [1, 0, 3] #change to [1, 2, 3] and code will run fine

ax.bar(xdata,
   ydata,
   picker = True)

fig.canvas.mpl_connect('pick_event', onpick1)

show()
#now click on chart

-
Exception generated:


Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Python24\lib\lib-tk\Tkinter.py", line 1345, in __call__
return self.func(*args)
  File "C:\Python24\Lib\site-packages\matplotlib\backends\backend_tkagg.py", 
line 236, in button_press_event
FigureCanvasBase.button_press_event(self, x, y, num, guiEvent=event)
  File "C:\Python24\Lib\site-packages\matplotlib\backend_bases.py", line 1074, 
in button_press_event
self.callbacks.process(s, mouseevent)
  File "C:\Python24\Lib\site-packages\matplotlib\cbook.py", line 152, in process
func(*args, **kwargs)
  File "C:\Python24\Lib\site-packages\matplotlib\backend_bases.py", line 983, 
in pick
self.figure.pick(mouseevent)
  File "C:\Python24\Lib\site-packages\matplotlib\artist.py", line 226, in pick
for a in self.get_children(): a.pick(mouseevent)
  File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 2306, in pick
martist.Artist.pick(self,args[0])
  File "C:\Python24\Lib\site-packages\matplotlib\artist.py", line 226, in pick
for a in self.get_children(): a.pick(mouseevent)
  File "C:\Python24\Lib\site-packages\matplotlib\artist.py", line 220, in pick
inside,prop = self.contains(mouseevent)
  File "C:\Python24\Lib\site-packages\matplotlib\patches.py", line 385, in 
contains
x, y = self.get_transform().inverted().transform_point(
  File "C:\Python24\Lib\site-packages\matplotlib\transforms.py", line 1840, in 
inverted
return CompositeGenericTransform(self._b.inverted(), self._a.inverted())
  File "C:\Python24\Lib\site-packages\matplotlib\transforms.py", line 1338, in 
inverted
self._inverted = Affine2D(inv(mtx))
  File "C:\Python24\Lib\site-packages\numpy\linalg\linalg.py", line 332, in inv
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
  File "C:\Python24\Lib\site-packages\numpy\linalg\linalg.py", line 235, in 
solve
raise LinAlgError, 'Singular matrix'
LinAlgError: Singular matrix

--
Stats:
MPL 0.98.1
Python 2.4.4
Numpy 1.1.0
I get the error on both Windows and Linux

Thanks,
-Ben
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Re: [Matplotlib-users] bar plot picker with 0 height data

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 12:27 PM, Ben Axelrod <[EMAIL PROTECTED]> wrote:
> I get an exception when I set up a bar chart with a picker that has a bar
> with 0 height, and I click on the chart.

Thanks for the report -- I just committed a fix for this to svn r5922

JDH

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[Matplotlib-users] matplotlib 0.98.3 release candidate, please test

2008-07-29 Thread John Hunter
We are in the final stages of preparing a new matplotlib release, and
a lot of work has gone into it.  If you would like to test the release
and see if it is working for you, that would be a big help

  http://matplotlib.sourceforge.net/tmp/matplotlib-0.98.3rc2.tar.gz

Unfortunately, we do not have binary builds available at this time.

Sandro, I saw that Georg released the 0.4.2 sphinx bugfix release, so
as soon as Mikhail gets that into debian you can test this release
candidate.

JDH

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Re: [Matplotlib-users] bar plot picker with 0 height data

2008-07-29 Thread Ben Axelrod
Thanks for the bug fix.  Do you think this fix will make it into the 0.98.3 
release?

-Original Message-
From: John Hunter [mailto:[EMAIL PROTECTED]
Sent: Tuesday, July 29, 2008 1:49 PM
To: Ben Axelrod
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] bar plot picker with 0 height data

On Tue, Jul 29, 2008 at 12:27 PM, Ben Axelrod <[EMAIL PROTECTED]> wrote:
> I get an exception when I set up a bar chart with a picker that has a bar
> with 0 height, and I click on the chart.

Thanks for the report -- I just committed a fix for this to svn r5922

JDH

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Re: [Matplotlib-users] bar plot picker with 0 height data

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 1:20 PM, Ben Axelrod <[EMAIL PROTECTED]> wrote:
> Thanks for the bug fix.  Do you think this fix will make it into the 0.98.3 
> release?

it will.

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[Matplotlib-users] Waterfall Plot?

2008-07-29 Thread Travis Ruthenburg
I'm new to matplotlib and was hoping someone could point me in the  
right direction for making a waterfall plot, similar to MATLAB's  
'waterfall'.

I'd like to plot a series of 2-D spectra staggered by time.

Thanks,

Travis

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Re: [Matplotlib-users] Waterfall Plot?

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 1:48 PM, Travis Ruthenburg <[EMAIL PROTECTED]> wrote:
> I'm new to matplotlib and was hoping someone could point me in the
> right direction for making a waterfall plot, similar to MATLAB's
> 'waterfall'.
>
> I'd like to plot a series of 2-D spectra staggered by time.

The specgram function is the closest equivalent:

http://matplotlib.sourceforge.net/matplotlib.pyplot.html#-specgram

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[Matplotlib-users] SVG rendering problems

2008-07-29 Thread Mathieu Leplatre
Hi all,

With both matplotlib versions (0.91 and 0.98), my SVGs are rendered
correctly in Inkscape (and almost well in Firefox), but they are not
rendered correctly when viewed with ImageMagick or Eye-of-Gnome.

I did screenshots here, showing this "curve cropping" issue :
http://mathieu-leplatre.info/media/matplotlib-svg/

I am running CentOS 5.2 with matplotlib compiled manually in both cases.
Cairo 1.2.4, librsvg 2.16, inkscape 0.46

Could it be related to matplotlib ? Or to operating system libraries ?

Thank you all for your support.
Mathieu.

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Re: [Matplotlib-users] Waterfall Plot?

2008-07-29 Thread Eric Firing
Travis Ruthenburg wrote:
> I'm new to matplotlib and was hoping someone could point me in the  
> right direction for making a waterfall plot, similar to MATLAB's  
> 'waterfall'.
> 
> I'd like to plot a series of 2-D spectra staggered by time.

Travis,

I presume you are handling the calculation of spectra, and the question 
is really about plotting offset lines.

We do not have the 3-D type plot illustrated here:
http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/waterfall.html&http://www.mathworks.com/cgi-bin/texis/webinator/search/

but there are a couple of ways you can plot offset lines.  One is to use 
the plot command to plot a set of lines, to which you have added the 
offsets yourself.  The other is to make a LineCollection.  I see that 
our example of the latter does not actually make use of the feature that 
  automatically applies the constant offsets, so I need to make a 
revised example, which I can't do right this minute.  In the meantime, 
the approach in line_collection.py and line_collection2.py in the mpl 
examples directory (examples/pylab_examples/ in the 0.98.x and svn 
versions) will work.

Backing off slightly, the larger points are (1) mpl is 2-D only; there 
was a 3-D module in earlier versions, but it was unmaintained and has 
been dropped; (2) 2-D plotting is very flexible; (3) often the problem 
is not one of plotting but of manipulating your input arrays, so the 
better you know numpy, the easier and more efficiently you can generate 
plots.

Eric

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Re: [Matplotlib-users] plotting a contour map from CSV file

2008-07-29 Thread Tim Michelsen
Hello Jeff,
I just wanna give feedback on what got me going here:

 data preparation
### data is loaded from a CSV file
###
lats = y # data[:,0]
## lon => x
lons = x # data[:,1]
## values => z
values = z #data[:,2]
###
lat_uniq = list(set(lats.tolist()))
nlats = len(lat_uniq)
lon_uniq = list(set(lons.tolist()))
nlons = len(lon_uniq)
color_map = plt.cm.spectral
print lats.shape, nlats, nlons
yre = lats.reshape(nlats,nlons)
xre = lons.reshape(nlats,nlons)
zre = values.reshape(nlats,nlons)
 later in the defined map
CT = m.contourf(xre, yre, zre, cmap=color_map)

Of course, this can be simplified. But, really, in the end the solution 
was just simple and I hadn't thought of it...

If you want I can try to create a short example for the distribution.

Thanks for your help again,
Timmie


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[Matplotlib-users] imshow update norm make my app crash.

2008-07-29 Thread Laurent Dufrechou
Hi guys, continuing exploring matplotlib capabilities J

 

I've applied the idea you've said later about colormap.

Now I would like on an event to refresh my view so I've written this code:

 

   .

 

   def InitCode(self):

.

self.norm = plt.Normalize(vmin=0, vmax=255)

self.cmap = cm.jet

im_full = full_sonar.imshow( z, aspect= 'auto', cmap=self.cmap,
norm=self.norm, interpolation='quadric')

im_zoom = zoomed_sonar.imshow( z, aspect= 'auto',cmap=self.cmap,
norm=self.norm, interpolation='quadric')

 
self.fig.colorbar(im_full,cax=cax,orientation='vertical',extend='both')

self.im_full = im_full

self.im_zoom = im_zoom

.



def updateSonarView(self):

self.im_full.set_cmap(self.cmap)

self.im_zoom.set_cmap(self.cmap)

self.im_full.set_norm(self.norm)

self.im_zoom.set_norm(self.norm)

self.fig.canvas.draw()



def OnUpdateButton(self, event):

self.low_clutter_val = self.clutter_low.GetPosition()

self.high_clutter_val = self.clutter_high.GetPosition()

self.norm = plt.Normalize(vmin=self.low_clutter_val,
vmax=self.high_clutter_val)

self.updateSonarView()

 

But I get this error from the lib :

 

Traceback (most recent call last):

  File "./Filters\A1Filter.py", line 183, in OnUpdateButton

self.updateSonarView()

  File "./Filters\A1Filter.py", line 157, in updateSonarView

self.im_full.set_norm(self.norm)

  File "C:\Python25\Lib\site-packages\matplotlib\cm.py", line 129, in
set_norm

self.changed()

  File "C:\Python25\Lib\site-packages\matplotlib\image.py", line 123, in
changed

cm.ScalarMappable.changed(self)

  File "C:\Python25\Lib\site-packages\matplotlib\cm.py", line 174, in
changed

self.callbacksSM.process('changed', self)

  File "C:\Python25\Lib\site-packages\matplotlib\cbook.py", line 152, in
process

func(*args, **kwargs)

  File "C:\Python25\Lib\site-packages\matplotlib\figure.py", line 1028, in
on_changed

cb.update_bruteforce(m)

  File "C:\Python25\Lib\site-packages\matplotlib\colorbar.py", line 649, in
update_bruteforce

self.draw_all()

  File "C:\Python25\Lib\site-packages\matplotlib\colorbar.py", line 221, in
draw_all

self._process_values()

  File "C:\Python25\Lib\site-packages\matplotlib\colorbar.py", line 458, in
_process_values

b = self.norm.inverse(self._uniform_y(self.cmap.N+1))

  File "C:\Python25\Lib\site-packages\matplotlib\colors.py", line 652, in
inverse

return vmin + val * (vmax - vmin)

  File "C:\Python25\Lib\site-packages\numpy\ma\core.py", line 1686, in
__mul__

return multiply(self, other)

  File "C:\Python25\Lib\site-packages\numpy\ma\core.py", line 503, in
__call__

result = self.f(d1, d2, *args, **kwargs).view(get_masked_subclass(a,b))

ValueError: shape mismatch: objects cannot be broadcast to a single shape

 

UpdateSonarview works flawlessly if I modify the colormap (self.cmap) and
call it then.

If I modify self.norm and call UpdateSonarView I get this crash.

 

Is it a bug from my bad usage of the lib? If not, I can perhaps send you a
stripped down file showing the problem?

Using matplotlib 0.98.1 under windows.

 

Laurent

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[Matplotlib-users] savefig and animated elements

2008-07-29 Thread Chee Sing Lee
Hi,

I am trying to save figures where all the artists have animated =
True. The result I get (I have tried svg and png formats) is a set of
axes with labels, ticks, and grid, but no data points! I am using the
WxAgg backend.

Is this something to be expected, and if so, can anyone suggest a workaround?

Thanks,
Chee Sing Lee
Oregon State University
Dept. Nuclear Engineering and Radiation Health Physics

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[Matplotlib-users] savefig and animated elements

2008-07-29 Thread Chee Sing Lee
Hi,

I am trying to save figures where all the artists have animated =
True. The result I get (I have tried svg and png formats) is a set of
axes with labels, ticks, and grid, but no data points! I am using the
WxAgg backend.

Is this something to be expected, and if so, can anyone suggest a workaround?

Thanks,
Chee Sing Lee
Oregon State University
Dept. Nuclear Engineering and Radiation Health Physics

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Re: [Matplotlib-users] imshow update norm make my app crash.

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 6:52 PM, Laurent Dufrechou
<[EMAIL PROTECTED]> wrote:

> I've applied the idea you've said later about colormap.
>
> Now I would like on an event to refresh my view so I've written this code:


I would like to see what

self.low_clutter_val = self.clutter_low.GetPosition()

self.high_clutter_val = self.clutter_high.GetPosition()

low and high clutter val are (can you print them, as well as their type, eg

  print low', type(self.low_clutter_val), self.low_clutter_val

and likewise for the high val.  From the error, it looks lik they are
not scalars.

JDH

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Re: [Matplotlib-users] matplotlib 0.98.3 release candidate, please test

2008-07-29 Thread John Hunter
On Tue, Jul 29, 2008 at 1:12 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> We are in the final stages of preparing a new matplotlib release, and
> a lot of work has gone into it.  If you would like to test the release
> and see if it is working for you, that would be a big help
>
>  http://matplotlib.sourceforge.net/tmp/matplotlib-0.98.3rc2.tar.gz
>
> Unfortunately, we do not have binary builds available at this time.

Charlie was kind enough to build a windows installer for the release
candidate for testing, which is available here

  http://matplotlib.sourceforge.net/tmp/matplotlib-0.98.3rc2.win32-py2.5.exe

We aren't going to wait around for too long, so if you are able to
test, please do so sooner rather than later.  In the absence of
serious problems, we'll be pushing out a release in the next day or
two.

JDH

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