Re: [Matplotlib-users] matplotlib and pyside..
Have a closer look at the example I gave. The currently released version of matplotlib doesn't support PySide at all. So I cheated and simply drew to the generic Agg backend and then copied the whole figure (gcf = get current figure) into a PySide QImage object at the end. The QImage can then be displayed however you want inside your Qt application. I used a QGraphicsScene but there are other options. If you really wanted to I guess you could use FigureCanvasAgg as an intermediary - but the process is fundamentally different. You can't just drop that it into your PySide app as a widget like you can with FigureCanvasQTAgg. As mentioned earlier, if you'd like to use the same code simply wait for the next release of matplotlib which will support PySide or you can get a copy of the source from github master today that also support PySide. Gerald. On 20/07/2011 3:59 PM, lionel chiron wrote: Hi Gerald, I found yesterday interesting informations on a forum where you answered about Matplotlib and pyside .. but some details are missing to make what I want. Few days ago I developped stuff in PyQt I 'd like to recuperate in Pyside.. the central difficulty is to import Matplotlib in Pyside. In PyQt I was using FigureCanvasQTAgg but in Pyside I couldn't find something equivalent allowing to link Mpl and pyside.. It seems you're able to make drawings (with add.patch) but how to do for inserting a figure? Thanks Best Lionel -- 10 Tips for Better Web Security Learn 10 ways to better secure your business today. Topics covered include: Web security, SSL, hacker attacks Denial of Service (DoS), private keys, security Microsoft Exchange, secure Instant Messaging, and much more. http://www.accelacomm.com/jaw/sfnl/114/51426210/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matplotlib and pyside..
The version of PySide doesn't really matter so long as it is reasonably new. You need a newer version of Matplotlib and yes, the Github master is newer than the current release. Gerald. On 20/07/2011 8:29 PM, lionel chiron wrote: Hi Gerald again, I recuperated the Pyside last version the 1.0.4 from Pyside's site but I obtained the same error message trying to use my former code (same used with PyQt with Figure Canvas) raise ImportError, Warning: formlayout requires PyQt4v4.3 Is the github version even more recent than this one?? Thanks Regards Lionel 2011/7/20 Gerald Storer g...@mrxtech.com.au mailto:g...@mrxtech.com.au Have a closer look at the example I gave. The currently released version of matplotlib doesn't support PySide at all. So I cheated and simply drew to the generic Agg backend and then copied the whole figure (gcf = get current figure) into a PySide QImage object at the end. The QImage can then be displayed however you want inside your Qt application. I used a QGraphicsScene but there are other options. If you really wanted to I guess you could use FigureCanvasAgg as an intermediary - but the process is fundamentally different. You can't just drop that it into your PySide app as a widget like you can with FigureCanvasQTAgg. As mentioned earlier, if you'd like to use the same code simply wait for the next release of matplotlib which will support PySide or you can get a copy of the source from github master today that also support PySide. Gerald. On 20/07/2011 3:59 PM, lionel chiron wrote: Hi Gerald, I found yesterday interesting informations on a forum where you answered about Matplotlib and pyside .. but some details are missing to make what I want. Few days ago I developped stuff in PyQt I 'd like to recuperate in Pyside.. the central difficulty is to import Matplotlib in Pyside. In PyQt I was using FigureCanvasQTAgg but in Pyside I couldn't find something equivalent allowing to link Mpl and pyside.. It seems you're able to make drawings (with add.patch) but how to do for inserting a figure? Thanks Best Lionel -- 5 Ways to Improve Secure Unified Communications Unified Communications promises greater efficiencies for business. UC can improve internal communications as well as offer faster, more efficient ways to interact with customers and streamline customer service. Learn more! http://www.accelacomm.com/jaw/sfnl/114/51426253/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] matplotlib + pyside
As Eric said Github master works with PySide. If you can't wait for a
release and you don't want to run the Github version of MPL you can use
the following code to render a plot inside a PySide app. Note that this
will just show the plot image. You won't get the tool bar, status bar
or any other GUI elements.
Gerald.
On 14/07/2011 3:33 PM, Eric Firing wrote:
On 07/13/2011 09:18 PM, Armagan Tarim wrote:
Hi All,
I have tried the sample PySide code given at
http://www.scipy.org/Cookbook/Matplotlib/PySide
the below excerpt is from my Python Shell for this sample code, which
gives this error,
Github master works with pyside. It is expected to emerge as a release
within a few weeks.
Eric
ImportError: Warning: formlayout requires PyQt4v4.3
It seems that it is looking for PyQt; but the whole point of using
PySide is to avoid using PyQt.
Any help is appreciated.
-- Armagan
Python 2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit
(Intel)] on win32
Type copyright, credits or license() for more information.
import sys
import matplotlib
matplotlib.use('Qt4Agg')
import pylab
Traceback (most recent call last):
File pyshell#3, line 1, inmodule
import pylab
File C:\Python27\lib\site-packages\pylab.py, line 1, inmodule
from matplotlib.pylab import *
File C:\Python27\lib\site-packages\matplotlib\pylab.py, line 263, in
module
from matplotlib.pyplot import *
File C:\Python27\lib\site-packages\matplotlib\pyplot.py, line 95, in
module
new_figure_manager, draw_if_interactive, show = pylab_setup()
File C:\Python27\lib\site-packages\matplotlib\backends\__init__.py,
line 25, in pylab_setup
globals(),locals(),[backend_name])
File
C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4agg.py,
line 12, inmodule
from backend_qt4 import QtCore, QtGui, FigureManagerQT, FigureCanvasQT,\
File C:\Python27\lib\site-packages\matplotlib\backends\backend_qt4.py,
line 18, inmodule
import matplotlib.backends.qt4_editor.figureoptions as figureoptions
File
C:\Python27\lib\site-packages\matplotlib\backends\qt4_editor\figureoptions.py,
line 11, inmodule
import matplotlib.backends.qt4_editor.formlayout as formlayout
File
C:\Python27\lib\site-packages\matplotlib\backends\qt4_editor\formlayout.py,
line 51, inmodule
raise ImportError, Warning: formlayout requires PyQt4v4.3
ImportError: Warning: formlayout requires PyQt4v4.3
-
import numpy as np
from matplotlib import use
use('AGG')
from matplotlib.transforms import Bbox
from matplotlib.path import Path
from matplotlib.patches import Rectangle
from matplotlib.pylab import *
from PySide import QtCore,QtGui
rect = Rectangle((-1, -1), 2, 2, facecolor=#aa)
gca().add_patch(rect)
bbox = Bbox.from_bounds(-1, -1, 2, 2)
for i in range(12):
vertices = (np.random.random((4, 2)) - 0.5) * 6.0
vertices = np.ma.masked_array(vertices, [[False, False], [True, True],
[False, False], [False, False]])
path = Path(vertices)
if path.intersects_bbox(bbox):
color = 'r'
else:
color = 'b'
plot(vertices[:,0], vertices[:,1], color=color)
app = QtGui.QApplication(sys.argv)
gcf().canvas.draw()
stringBuffer = gcf().canvas.buffer_rgba(0,0)
l, b, w, h = gcf().bbox.bounds
qImage = QtGui.QImage(stringBuffer,
w,
h,
QtGui.QImage.Format_ARGB32)
scene = QtGui.QGraphicsScene()
view = QtGui.QGraphicsView(scene)
pixmap = QtGui.QPixmap.fromImage(qImage)
pixmapItem = QtGui.QGraphicsPixmapItem(pixmap)
scene.addItem(pixmapItem)
view.show()
app.exec_()
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Re: [Matplotlib-users] Where to search with mailing list archive
There's a heap of searches - the old.nabble one listed. http://old.nabble.com/matplotlib---users-f2906.html plus http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/info.html http://blog.gmane.org/gmane.comp.python.matplotlib.general http://www.mailinglistarchive.com/html/matplotlib-users@lists.sourceforge.net/ I find google to be better at figuring out what you want though. So a google search like: search terms site:old.nabble.com intitle:matplotlib intitle:users tends to work better. Gerald. On 18/05/2011 10:55 PM, Benjamin Root wrote: On Wed, May 18, 2011 at 5:52 AM, Yue Chao chaoyue...@gmail.com mailto:chaoyue...@gmail.com wrote: Thank you Mark! If there is no search engine, we'll not make full use of FAQ history... Chao There is a search feature provided by nabble here: http://old.nabble.com/matplotlib---users-f2906.html Don't know how good it is, but it does exist. Ben Root -- What Every C/C++ and Fortran developer Should Know! Read this article and learn how Intel has extended the reach of its next-generation tools to help Windows* and Linux* C/C++ and Fortran developers boost performance applications - including clusters. http://p.sf.net/sfu/intel-dev2devmay ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- What Every C/C++ and Fortran developer Should Know! Read this article and learn how Intel has extended the reach of its next-generation tools to help Windows* and Linux* C/C++ and Fortran developers boost performance applications - including clusters. http://p.sf.net/sfu/intel-dev2devmay___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Animating plots with the Qt backend
Ah,
I did not know that. I shall investigate.
Thanks,
Gerald.
On 6/05/2011 7:27 AM, Benjamin Root wrote:
On Tue, May 3, 2011 at 3:57 AM, Gerald Storer g...@mrxtech.com.au
mailto:g...@mrxtech.com.au wrote:
Hello,
I've been trying to animate some plots with the qt backend and run
into
a couple of problems.
Firstly,
I'd like to be able to update the axis limits in an automated
fashion as
the data changes size.
Secondly,
Resizing figures appears to redraw everything _but_ items with the
animation flag. The is causing me problems when the animation is
paused
or the frames are occurring slow enough such that there is a noticable
period where the my lines disappear.
I've sort of solved both of these problems but the solutions seem
hackish. In particular updating the axis limits is slowing the
animation by 25% and toggling the animated field using the qt events
just feels like its asking for trouble.
Below is the qt animation example with my solutions. Adjust the
size of
the plot after the animation finishes to see the effect of the resize
hack. I would be grateful if anyone could suggest some improvements.
Thanks,
Gerald.
# For detailed comments on animation and the techniqes used here, see
# the wiki entry http://www.scipy.org/Cookbook/Matplotlib/Animations
import os
import sys
#import matplotlib
#matplotlib.use('Qt4Agg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
as FigureCanvas
from PyQt4 import QtCore, QtGui
ITERS = 100
import numpy as np
import time
class BlitQT(FigureCanvas):
def __init__(self):
FigureCanvas.__init__(self, Figure())
self.ax http://self.ax = self.figure.add_subplot(111)
#self.ax.grid()
self.draw()
self.old_size = self.ax.bbox.width, self.ax.bbox.height
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.cnt = 0
self.x = np.arange(0,2*np.pi,0.01)
self.sin_line, = self.ax.plot(self.x, np.sin(self.x),
animated=True)
self.cos_line, = self.ax.plot(self.x, np.cos(self.x),
animated=True)
self.draw()
self.old_limits = self.ax.get_xlim(),self.ax.get_ylim()
self.tstart = time.time()
self.maintimer = self.startTimer(10)
## HACK for disapearing objects on resize
def resizeEvent(self,evt):
super(BlitQT,self).resizeEvent(evt)
self.sin_line.set_animated(False)
def paintEvent(self,evt):
super(BlitQT,self).paintEvent(evt)
self.sin_line.set_animated(True)
def timerEvent(self, evt):
current_size = self.ax.bbox.width, self.ax.bbox.height
if self.old_size != current_size:
self.old_size = current_size
#self.ax.clear()
#self.ax.grid()
self.draw()
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.restore_region(self.ax_background)
# update the data
self.sin_line.set_ydata(np.sin(self.x+self.cnt/10.0)*self.cnt/100.0)
self.cos_line.set_ydata(np.cos(self.x+self.cnt/10.0)*self.cnt/100.0)
## HACK for updating axis limits
self.ax.relim()
self.ax.autoscale_view()
current_limits = self.ax.get_xlim(),self.ax.get_ylim()
if self.old_limits != current_limits:
self.old_limits = current_limits
self.draw()
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.blit(self.figure.bbox)
# just draw the animated artist
self.ax.draw_artist(self.sin_line)
self.ax.draw_artist(self.cos_line)
# just redraw the axes rectangle
self.blit(self.ax.bbox)
if self.cnt == 0:
# TODO: this shouldn't be necessary, but if it is
excluded the
# canvas outside the axes is not initially painted.
self.draw()
if self.cnt==ITERS:
# print the timing info and quit
print 'FPS:' , ITERS/(time.time()-self.tstart)
#sys.exit()
self.killTimer(self.maintimer)
else:
self.cnt += 1
app = QtGui.QApplication(sys.argv)
widget = BlitQT()
widget.show()
sys.exit(app.exec_())
Gerald,
I haven't looked at your code, but I would like to point out that if
you wish to experiment a little further with animations in matplotlib,
there is a animation module that is in the current development branch
(but has not been officially released). Maybe using it might help
make your code
[Matplotlib-users] Animating plots with the Qt backend
Hello,
I've been trying to animate some plots with the qt backend and run into
a couple of problems.
Firstly,
I'd like to be able to update the axis limits in an automated fashion as
the data changes size.
Secondly,
Resizing figures appears to redraw everything _but_ items with the
animation flag. The is causing me problems when the animation is paused
or the frames are occurring slow enough such that there is a noticable
period where the my lines disappear.
I've sort of solved both of these problems but the solutions seem
hackish. In particular updating the axis limits is slowing the
animation by 25% and toggling the animated field using the qt events
just feels like its asking for trouble.
Below is the qt animation example with my solutions. Adjust the size of
the plot after the animation finishes to see the effect of the resize
hack. I would be grateful if anyone could suggest some improvements.
Thanks,
Gerald.
# For detailed comments on animation and the techniqes used here, see
# the wiki entry http://www.scipy.org/Cookbook/Matplotlib/Animations
import os
import sys
#import matplotlib
#matplotlib.use('Qt4Agg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from PyQt4 import QtCore, QtGui
ITERS = 100
import numpy as np
import time
class BlitQT(FigureCanvas):
def __init__(self):
FigureCanvas.__init__(self, Figure())
self.ax = self.figure.add_subplot(111)
#self.ax.grid()
self.draw()
self.old_size = self.ax.bbox.width, self.ax.bbox.height
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.cnt = 0
self.x = np.arange(0,2*np.pi,0.01)
self.sin_line, = self.ax.plot(self.x, np.sin(self.x), animated=True)
self.cos_line, = self.ax.plot(self.x, np.cos(self.x), animated=True)
self.draw()
self.old_limits = self.ax.get_xlim(),self.ax.get_ylim()
self.tstart = time.time()
self.maintimer = self.startTimer(10)
## HACK for disapearing objects on resize
def resizeEvent(self,evt):
super(BlitQT,self).resizeEvent(evt)
self.sin_line.set_animated(False)
def paintEvent(self,evt):
super(BlitQT,self).paintEvent(evt)
self.sin_line.set_animated(True)
def timerEvent(self, evt):
current_size = self.ax.bbox.width, self.ax.bbox.height
if self.old_size != current_size:
self.old_size = current_size
#self.ax.clear()
#self.ax.grid()
self.draw()
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.restore_region(self.ax_background)
# update the data
self.sin_line.set_ydata(np.sin(self.x+self.cnt/10.0)*self.cnt/100.0)
self.cos_line.set_ydata(np.cos(self.x+self.cnt/10.0)*self.cnt/100.0)
## HACK for updating axis limits
self.ax.relim()
self.ax.autoscale_view()
current_limits = self.ax.get_xlim(),self.ax.get_ylim()
if self.old_limits != current_limits:
self.old_limits = current_limits
self.draw()
self.ax_background = self.copy_from_bbox(self.ax.bbox)
self.blit(self.figure.bbox)
# just draw the animated artist
self.ax.draw_artist(self.sin_line)
self.ax.draw_artist(self.cos_line)
# just redraw the axes rectangle
self.blit(self.ax.bbox)
if self.cnt == 0:
# TODO: this shouldn't be necessary, but if it is excluded the
# canvas outside the axes is not initially painted.
self.draw()
if self.cnt==ITERS:
# print the timing info and quit
print 'FPS:' , ITERS/(time.time()-self.tstart)
#sys.exit()
self.killTimer(self.maintimer)
else:
self.cnt += 1
app = QtGui.QApplication(sys.argv)
widget = BlitQT()
widget.show()
sys.exit(app.exec_())
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