[Matplotlib-users] catching close figure event

2010-07-29 Thread Pellegrini Eric
Hello everybody,

I would like to call a function when I close manually a window previously 
opened by a pylab.figure. I tried the following:

f = pylab.figure()
f.canvas.mpl_connect('close_event',my_function)

but it fails because the 'close_event' is not recognized as a valid event 
(button_press_event, axis_leave_event ...). Would you have any idea ?

thank you very much

regards

Eric Pellegrini



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Re: [Matplotlib-users] catching close figure event

2010-07-29 Thread Pellegrini Eric
Hi Ben,

I use the version 0.99.3. 

Eric

--- En date de : Jeu 29.7.10, Benjamin Root ben.r...@ou.edu a écrit :

De: Benjamin Root ben.r...@ou.edu
Objet: Re: [Matplotlib-users] catching close figure event
À: Pellegrini Eric ericpellegr...@yahoo.fr
Cc: matplotlib-users@lists.sourceforge.net
Date: Jeudi 29 juillet 2010, 19h26

On Thu, Jul 29, 2010 at 12:18 PM, Pellegrini Eric ericpellegr...@yahoo.fr 
wrote:


Hello everybody,

I would like to call a function when I close manually a window previously 
opened by a pylab.figure. I tried the following:



f = pylab.figure()
f.canvas.mpl_connect('close_event',my_function)

but it fails because the 'close_event' is not recognized as a valid event 
(button_press_event, axis_leave_event ...). Would you have any idea ?



thank you very much

regards

Eric Pellegrini



Eric,

Which version of matplotlib are you using?  close_event is a valid event 
identifier.



Ben Root




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Re: [Matplotlib-users] catching close figure event

2010-07-29 Thread Pellegrini Eric
Hi Ryan,

bad luck, I use the version 0.99.3 ... and currently I must keep on using it ...

Would you see another way to proceed from matplotlib ?

thanks

Eric

--- En date de : Jeu 29.7.10, Ryan May rma...@gmail.com a écrit :

De: Ryan May rma...@gmail.com
Objet: Re: [Matplotlib-users] catching close figure event
À: Pellegrini Eric ericpellegr...@yahoo.fr
Cc: Benjamin Root ben.r...@ou.edu, matplotlib-users@lists.sourceforge.net
Date: Jeudi 29 juillet 2010, 19h29

On Thu, Jul 29, 2010 at 12:26 PM, Benjamin Root ben.r...@ou.edu wrote:


On Thu, Jul 29, 2010 at 12:18 PM, Pellegrini Eric ericpellegr...@yahoo.fr 
wrote:




Hello everybody,

I would like to call a function when I close manually a window previously 
opened by a pylab.figure. I tried the following:





f = pylab.figure()
f.canvas.mpl_connect('close_event',my_function)

but it fails because the 'close_event' is not recognized as a valid event 
(button_press_event, axis_leave_event ...). Would you have any idea ?





thank you very much

Eric,



Which version of matplotlib are you using?  close_event is a valid event 
identifier.
It was added in the most recent 1.0, so make sure you have that.


Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma




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[Matplotlib-users] Redisplay a figure after it was closed

2010-07-11 Thread Pellegrini Eric
Hello everybody,

My question is in the title !

Say that I have the following code:

f = pylab.figure()
f.plot([1,2,3,4,5])
pylab.show()

and that, once I destroyed the figure by clicking on the top-right corner red 
button, I would like to redisplay it in the state it was just before I closed 
it. Is there way to do this ? There might be one as the variable f is still 
assigned as a figure object with all its attributes and methods still available.

Thank you very much

Eric



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[Matplotlib-users] redraw a figure

2010-01-24 Thread Pellegrini Eric
Hello everybody,

I have a question concerning the redrawing of one/several figures.

Say that I have the following (very) simple code:

ion()
f1 = figure(1)
plot([1,2,3,4])

f2 = figure(2)
plot([1,1,1,1])

and that I killed f1 and f2 figures by clicking on their respective right-top 
corner. Is there a way to redisplay f1 and/or f2 in the state they were just 
before destroying them ?

thank you very much for your help

best regards

Eric







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[Matplotlib-users] Question about gridlines

2009-05-28 Thread Pellegrini Eric
Dear all,



When writing:



f = figure()

...

gl = f.gca().get_xgridlines()



I always get a list of gridlines independantly of the fact that they are 
actually drawn or not.



Is there an attribute or a method that could inform me whether the 
gridlines are actually displayed or not ?



I thougt that the method get_visible could do the job but it seems to 
do an unrelated task.



thank you very much



Eric



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[Matplotlib-users] Updating a plot

2009-04-10 Thread Pellegrini Eric
Hello everybody,

I would like to create a plot from which I set the x data later. The method 
set_xdata works but the corresponding plot displays the initial x limits. Is it 
possible to update the plot automatically in order that the displayed plot has 
x limits corresponding to the newly set x data ?

Here is the script that fails:

import pylab
fig = pylab.figure()
ax = fig.add_subplot(111, label = 'plot1')
p, = ax.plot([1,2,3,4,5])
p.set_xdata([10,20,30,40,50])
# ax.set_xlim([10,50])
fig.show()

to update the xlim I have to add the commented line.

thank you very much

Eric Pellegrini



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[Matplotlib-users] Memory leak using matplotlib

2007-04-03 Thread Pellegrini Eric
Hi evebrybody,
   
  I started a discussion one week ago about a problem of memory leak using the 
following code:
   
  

  from Tkinter import *
  from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
  import pylab
   
  def display():
  mat = pylab.zeros((100,100))
  pylab.ioff()
  image = pylab.matshow(mat)
  pylab.ion()
  pylab.close()
  can = FigureCanvasTkAgg(image, master=frame)
  can.show()
  can.get_tk_widget().grid(row = 0,column = 0)
   
  root = Tk()
  frame = Frame(root)
  frame.grid(row = 0,column = 0)
  canvas = Canvas(frame, width = 240, height = 240, relief = sunken, bg = 
white) 
  canvas.grid()
  button = Button(root,text=DisplayMatrix,command = display)
  button.grid(row = 1,column = 0)
  
***
   
  up to now, I have not found any way to solve it and unfortunately the 
proposed hints did not solve the problem (gc_collect(), clf(), cla()). Is there 
something new about this ?
   
  thanks
   
  Eric


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[Matplotlib-users] Memory leak with FigureCanvasTk

2007-03-20 Thread Pellegrini Eric
Hi,
   
  I have a problem of memory leak using the following code:
   
  

  from Tkinter import *
  from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
  import pylab
   
  def display():
  mat = pylab.zeros((100,100))
  pylab.ioff()
  image = pylab.matshow(mat)
  pylab.ion()
  pylab.close()
  can = FigureCanvasTkAgg(image, master=frame)
  can.show()
  can.get_tk_widget().grid(row = 0,column = 0)
   
  root = Tk()
  frame = Frame(root)
  frame.grid(row = 0,column = 0)
  canvas = Canvas(frame, width = 240, height = 240, relief = sunken, bg = 
white) 
  canvas.grid()
  button = Button(root,text=DisplayMatrix,command = display)
  button.grid(row = 1,column = 0)
  
***
   
  would you have any idea of what is going wrong ?
   
  Thank you very much
   
  Eric
   
   
   
   
   
   
   
   
   
   


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[Matplotlib-users] Question about pylab.figure

2007-03-20 Thread Pellegrini Eric
Hi everybody,
   
  when repeating the following sequence:
   
  pylab.figure()
  pylab.close()
   
  the memory used increases like if something remained. Would you have any idea 
of what is going on ? How to solve this kind of memory leak ?
   
  thank you very much
   
  Eruc 


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[Matplotlib-users] Question about matshow

2007-03-19 Thread Pellegrini Eric
Hi,

I have some problems to combine a matshow object with a canvas. Here is a 
little piece of code that illustrates my problem. It displays a matshow object 
when pressing a button. 
I would like to embed the matshow object into a canvas of a fixed dimension. 
The code I wrote does the opposite i.e. it is the canvas that adapts its size 
and not the matshow object. Would you have any hints ?


**
from Tkinter import *
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import pylab

def display():
mat = pylab.zeros((100,100))
pylab.ioff()
image = pylab.matshow(mat)
pylab.ion()
can = FigureCanvasTkAgg(image, master=frame)
can.show()
can.get_tk_widget().grid(row = 0,column = 0)

root = Tk()
frame = Frame(root)
frame.grid(row = 0,column = 0)
canvas = Canvas(frame, width = 240, height = 240, relief = sunken, bg = 
white)
canvas.grid()

button = Button(root,text=DisplayMatrix,command = display)
button.grid(row = 1,column = 0)


Thank you very much

Eric



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[Matplotlib-users] Problem to embed figure in Tk

2007-03-16 Thread Pellegrini Eric
Hi everybody,

Would you have any idea how to embed a matshow (or imshow) object in a Tk 
application but with a given dimension ?
Using FigureCanvasTkAgg embed a matshow object in my application but it takes
 the dimension of the matshow object not the dimension of the place where I 
would like to embed it.

Thank you very much

Best regards

Eric Pellegrini


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[Matplotlib-users] Question about imshow and matshow

2007-03-15 Thread Pellegrini Eric
Hello everybody,

when using matplotlib, any plot I create is displayed separately from my 
Tkinter application. Is there a direct way to embed the plot created by 
matplotlib in a widget such as a canvas using something like create_image or 
something else ?

Currently, the only thing I managed to do is:
-create my plot with matshow
-save the figure using savefig (png)
-embed the png in a canvas using create_image

not very smart, isn't it ?

Thank you very much

best regards

Eric Pellegrini

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[Matplotlib-users] RE : Re: Problem with pylab.fill

2006-12-07 Thread Pellegrini Eric
Hi John,
   
  thank you very much for the hand.
   
  I think that I have found my mistake. I was launching my script trough Idle 
that seems to be the reason why it was to slow. Running my script with the 
command line or by double-clicking on it gave results similar to yours. Would 
you know why Idle application slows down so much the execution of my script ?
   
  By the way, using the Collection class, would you have any idea how to set 
different colors to the polygons ? Using set_color method change the color of 
all the plygons.
   
  Thanks again

  Eric
  
John Hunter [EMAIL PROTECTED] a écrit :
   Pellegrini == Pellegrini Eric writes:

Pellegrini Hi everybody, I would like to build an application
Pellegrini where many filled polygons will have to be displayed
Pellegrini on the screen. To do so, I would like to use
Pellegrini matplotlib but, up to now, my application is not fast
Pellegrini enough.

Hmm, I'm not seeing the performance problem on my system -- I can
create and save the figure in a fraction of a second. Is your numerix
setting set to numpy? Run the script with --verbose-helpful and send
us the output.

A few things to note: if you really want regular polygons, eg the
squared in your example, do any of the plot markers work for you.

plot(x, marker='s')

will be about as fast as mpl gets. You can set the marker size with
the markersize property.

Second, if you need arbitrary polygons, and need a lot of them, a
polygon collection will be faster. I had to bump the number of polys
up to about 8000 to show a dramatic performance difference.

Here are two scripts and performance numbers -- one using fill and one
using a polygon collection

 time python test.py -dAgg
6.595u 0.089s 0:06.68 99.8% 0+0k 0+0io 0pf+0w

 time python test2.py -dAgg
0.565u 0.033s 0:00.59 100.0% 0+0k 0+0io 0pf+0w

 cat test.py
import pylab

x = range(0,81000,10)
pylab.axis('off')
for i in range(0,len(x)-1):
pylab.fill([x[i],x[i+1],x[i+1],x[i]],[10,10,20,20])
pylab.axis((0,max(x),0,610))
pylab.savefig('test')
pylab.show()

 cat test2.py
import pylab
from matplotlib.collections import PolyCollection
fig = pylab.figure()
ax = fig.add_subplot(111)
x = range(0,81000,10)

pylab.axis('off')
verts = [((x[i], 10), (x[i+1], 10), (x[i+1], 20), (x[i], 20)) for i in 
range(len(x)-1)]
col = PolyCollection(verts)
ax.add_collection(col)
pylab.axis((0,max(x),0,610))
pylab.savefig('test')
pylab.show()



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[Matplotlib-users] RE : Re: Problem with pylab.fill

2006-12-07 Thread Pellegrini Eric
I forgot to send the output of the python test.py --verbose-helpful. Perhaps 
you will find something wrong there. Here it is:
   
  
  matplotlib data path C:\Python24\lib\site-packages\matplotlib\mpl-data
$HOME=C:\Documents and Settings\Eric
CONFIGDIR=C:\Documents and Settings\Eric\.matplotlib
loaded rc file C:\Python24\lib\site-packages\matplotlib\mpl-data\matplotlibrc
matplotlib version 0.87.6
verbose.level helpful
interactive is False
platform is win32
numerix numpy 1.0rc1
font search path ['C:\\Python24\\lib\\site-packages\\matplotlib\\mpl-data']
loaded ttfcache file C:\Documents and Settings\Eric\.matplotlib\ttffont.cache
backend TkAgg version 8.4

   
  Thanks again
   
  Eric
  

John Hunter [EMAIL PROTECTED] a écrit :
   Pellegrini == Pellegrini Eric writes:

Pellegrini Hi everybody, I would like to build an application
Pellegrini where many filled polygons will have to be displayed
Pellegrini on the screen. To do so, I would like to use
Pellegrini matplotlib but, up to now, my application is not fast
Pellegrini enough.

Hmm, I'm not seeing the performance problem on my system -- I can
create and save the figure in a fraction of a second. Is your numerix
setting set to numpy? Run the script with --verbose-helpful and send
us the output.

A few things to note: if you really want regular polygons, eg the
squared in your example, do any of the plot markers work for you.

plot(x, marker='s')

will be about as fast as mpl gets. You can set the marker size with
the markersize property.

Second, if you need arbitrary polygons, and need a lot of them, a
polygon collection will be faster. I had to bump the number of polys
up to about 8000 to show a dramatic performance difference.

Here are two scripts and performance numbers -- one using fill and one
using a polygon collection

 time python test.py -dAgg
6.595u 0.089s 0:06.68 99.8% 0+0k 0+0io 0pf+0w

 time python test2.py -dAgg
0.565u 0.033s 0:00.59 100.0% 0+0k 0+0io 0pf+0w

 cat test.py
import pylab

x = range(0,81000,10)
pylab.axis('off')
for i in range(0,len(x)-1):
pylab.fill([x[i],x[i+1],x[i+1],x[i]],[10,10,20,20])
pylab.axis((0,max(x),0,610))
pylab.savefig('test')
pylab.show()

 cat test2.py
import pylab
from matplotlib.collections import PolyCollection
fig = pylab.figure()
ax = fig.add_subplot(111)
x = range(0,81000,10)

pylab.axis('off')
verts = [((x[i], 10), (x[i+1], 10), (x[i+1], 20), (x[i], 20)) for i in 
range(len(x)-1)]
col = PolyCollection(verts)
ax.add_collection(col)
pylab.axis((0,max(x),0,610))
pylab.savefig('test')
pylab.show()



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