: "Pellegrini Eric"
Cc: "Benjamin Root" , matplotlib-users@lists.sourceforge.net
Date: Jeudi 29 juillet 2010, 19h29
On Thu, Jul 29, 2010 at 12:26 PM, Benjamin Root wrote:
On Thu, Jul 29, 2010 at 12:18 PM, Pellegrini Eric
wrote:
Hello everybody,
I would like to call a function whe
Hi Ben,
I use the version 0.99.3.
Eric
--- En date de : Jeu 29.7.10, Benjamin Root a écrit :
De: Benjamin Root
Objet: Re: [Matplotlib-users] catching close figure event
À: "Pellegrini Eric"
Cc: matplotlib-users@lists.sourceforge.net
Date: Jeudi 29 juillet 2010, 19h26
On Thu, Ju
zed as a valid event
(button_press_event, axis_leave_event ...). Would you have any idea ?
thank you very much
regards
Eric Pellegrini
--
The Palm PDK Hot Apps Program offers developers who use the
Plug-In Development Ki
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
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 th
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 th
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 th
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
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
impo
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
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.zer
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
to embed it.
Thank you very much
Best regards
Eric Pellegrini
-
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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
-
Découvrez une nouvelle faço
a']
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" == Pellegr
er <[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 lik
Hi everybody,
I would like to build an application where many filled polygons will have to be
displayed on the screen. To do so, I would like to use matplotlib but, up to
now, my application is not fast enough.
I use:
python 2.4.1
matplot-0.87.6
numpy-1.0rc1
and I checked my matplotlibrc file
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