[Matplotlib-users] Mouse event blocked in 1.0 but works with 0.93 ?

2010-09-23 Thread David Trémouilles
Hello,

  I've just updated matplotlib to 1.0 svn version from 0.93.
My pyqt4 app use the pick event. Cliking on a point in the graph
triggers an event but with matplotlib 1.0 it does not anymore while
it was working fine with 0.93.
Any idea/help on where I should look for ?

Thanks in advance,

David

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Re: [Matplotlib-users] Mouse event blocked in 1.0 but works with 0.93 ?

2010-09-23 Thread David Trémouilles

OK, was able to narrow thinks down:
actually it looks like
figure.canvas.mpl_connect('pick_event', function)
does not connect the function if it is a class method (...?)
In attachment you will find two files illustrating this:
buggy_pick.py and buggy_pick2.py
Both work nicely with matplotlib 0.93
With matplotlib 1.0 buggy_pick.py does not work while buggy_pick2.py 
does work.

The only difference is in the PickFig class...

Is it really a bug or I'm doing something wrong ?

Any workaround would be welcome.

Thx,

David

PS. Is it better to discuss this on users or devel list ?

Le 23/09/10 15:42, Ryan May a écrit :

On Thu, Sep 23, 2010 at 3:20 AM, David Trémouillesdavid.t...@gmail.com  wrote:

Hello,

  I've just updated matplotlib to 1.0 svn version from 0.93.
My pyqt4 app use the pick event. Cliking on a point in the graph
triggers an event but with matplotlib 1.0 it does not anymore while
it was working fine with 0.93.
Any idea/help on where I should look for ?


Not without a better idea of what you're doing. I *can* say that both
picking examples work fine for me with the Qt4Agg backend. Can you
create a complete, minimal example that replicates the problem you're
seeing? Without that, I'd just be guessing blindly.

Ryan

import matplotlib
matplotlib.use('Qt4Agg')
import numpy as np
import sys
from PyQt4 import QtCore
from PyQt4 import QtGui


from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg as NavigationToolbar

class MatplotlibFig(QtGui.QWidget):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self)
figure = Figure()
fig_canvas = FigureCanvasQTAgg(figure)
fig_toolbar = NavigationToolbar(fig_canvas, self)
fig_vbox = QtGui.QVBoxLayout()
fig_vbox.addWidget(fig_canvas)
fig_vbox.addWidget(fig_toolbar)
fig_canvas.setParent(self)
self.setLayout(fig_vbox)
self.figure = figure

class PickFig(object):
def __init__(self, fig):
x = np.arange(10)
y = np.exp(x)
ax1 = fig.add_subplot(111)
selected_flag = np.zeros(x.shape[0],dtype=np.bool)
ax1.plot(x, y)
line, = ax1.plot(x, y, 'o', picker=5)
selected_point, = ax1.plot(x[selected_flag], y[selected_flag], 'ro')
self.ax1 = ax1
self.x = x
self.y = y
self.fig = fig
self.selected_flag = selected_flag
self.selected_point = selected_point
fig.canvas.mpl_connect('pick_event', self.onpick3)
fig.canvas.draw()

def onpick3(self, event):
print event
if event.mouseevent.button == 1:
self.ax1.set_autoscale_on(False)
ind = event.ind
self.selected_flag[ind] = not self.selected_flag[ind]
print self.x[self.selected_flag]
print 'onpick3 scatter:', ind, np.take(self.x, ind), np.take(self.y, ind)
self.selected_point.set_data(self.x[self.selected_flag],
self.y[self.selected_flag])
self.fig.canvas.draw()



class TestFig(MatplotlibFig):
def __init__(self, parent=None):
MatplotlibFig.__init__(self, parent)
PickFig(self.figure)


class MainWin(QtGui.QMainWindow):
def __init__(self, parent=None):
QtGui.QMainWindow.__init__(self, parent)
self.setWindowTitle(Test)
mat_fig = TestFig(self)
self.setCentralWidget(mat_fig)


def main():
app = QtGui.QApplication(sys.argv)
mainwin = MainWin()
mainwin.show()
sys.exit(app.exec_())

if __name__ == '__main__':
main()
import matplotlib
matplotlib.use('Qt4Agg')
import numpy as np
import sys
from PyQt4 import QtCore
from PyQt4 import QtGui


from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg as NavigationToolbar

class MatplotlibFig(QtGui.QWidget):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self)
figure = Figure()
fig_canvas = FigureCanvasQTAgg(figure)
fig_toolbar = NavigationToolbar(fig_canvas, self)
fig_vbox = QtGui.QVBoxLayout()
fig_vbox.addWidget(fig_canvas)
fig_vbox.addWidget(fig_toolbar)
fig_canvas.setParent(self)
self.setLayout(fig_vbox)
self.figure = figure

class PickFig(object):
def __init__(self, fig):
x = np.arange(10)
y = np.exp(x)
ax1 = fig.add_subplot(111)
selected_flag = np.zeros(x.shape[0],dtype=np.bool)
ax1.plot(x, y)
line, = ax1.plot(x, y, 'o', picker=5)
selected_point, = ax1.plot(x[selected_flag], y[selected_flag], 'ro')
def onpick3(event):
print event
if event.mouseevent.button == 1:
ax1.set_autoscale_on(False)
ind = event.ind

Re: [Matplotlib-users] Mouse event blocked in 1.0 but works with 0.93 ? (Solved)

2010-09-23 Thread David Trémouilles
Wonderful !
This does indeed solve my issue.

Many many thanks,

David

Le 23/09/10 17:35, Ryan May a écrit :
 On Thu, Sep 23, 2010 at 9:16 AM, David Trémouillesdavid.t...@gmail.com  
 wrote:
 OK, was able to narrow thinks down:
 actually it looks like
 figure.canvas.mpl_connect('pick_event', function)
 does not connect the function if it is a class method (...?)
 In attachment you will find two files illustrating this:
 buggy_pick.py and buggy_pick2.py
 Both work nicely with matplotlib 0.93
 With matplotlib 1.0 buggy_pick.py does not work while buggy_pick2.py does
 work.
 The only difference is in the PickFig class...

 Is it really a bug or I'm doing something wrong ?

 Any workaround would be welcome.

 Technically, you're doing something sort of wrong, though it's very
 subtle. And it just so happens that the way the code for callbacks was
 reworked that this even showed up.
 In this code:

 class TestFig(MatplotlibFig):
  def __init__(self, parent=None):
  MatplotlibFig.__init__(self, parent)
  PickFig(self.figure)

 You create a PickFig, but since you don't assign it to anything, it
 gets garbage collected and (eventually) removed from the callbacks.
 Previously, the callback registry would have a reference to the
 callbacks, which would have kept PickFig alive. This was changed to
 eliminate some resource leaks. The fix is simple, just save the
 PickFig as a member of TestFig:

 self.pf = PickFig(self.figure)

 That fixes the problem for me.

 Ryan


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Re: [Matplotlib-users] Matplotlib and PySide ?

2010-09-23 Thread David Trémouilles
 On Wed, Sep 15, 2010 at 3:03 AM, David Trémouilles david.t...@gmail.com
 mailto:david.t...@gmail.com wrote:

 Hello,

   Does anybody know if matplotlib work with pyside ?
 If it does how to use matplotib with pyside ?

 Thanks,

 David


 David,

 I am not familiar with PySide, so I looked it up.  Please correct me if
 I am wrong, but it appears to be an alternative to PyQt for licensing
 reasons, and the FAQ says that it is API compatible.  On the python side
 of matplotlib, I wonder if using PySide would be as simple as just
 replacing all of the import PyQt or import PyQt4 with import
 PySide (and all the from PyQt import ...).

 Does PySide still use the same compiled Qt libraries that PyQt uses?  If
 so, then I don't *think* you need to recompile the Qt backends, but I am
 not entirely sure.

 Good luck!
 Ben Root


Hi Ben,
I did try to roughly replace PyQt4 import by PySide import
in my installed matplotlib but pyplot.plot function led to a seg fault...
(PyQt and PySide where indeed compiled with the same Qt lib)

I'm not skilled enough to go further on...

Thanks for your help,

David

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[Matplotlib-users] Matplotlib and PySide ?

2010-09-15 Thread David Trémouilles
Hello,

  Does anybody know if matplotlib work with pyside ?
If it does how to use matplotib with pyside ?

Thanks,

David

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[Matplotlib-users] interrupted line with maskedarray (normal behavior ?)

2008-02-10 Thread David Trémouilles

Hi,

 I've just start playing with maskedarray (the new implementation) 
using fresh svn matplotib (0_91 maintenance).

Plotting masked array does not behave as I would have expected.
Indeed when drawing a line graph the masked walues interrupted the 
line (see attach example). I would prefer to see a continues line...

Is it the expected behavior? Is there a way to change it?

Thanks in advance,

David
import pylab
import maskedarray as ma

x = ma.arange(10)
y = ma.sin(x/10.0)

y[2]=ma.masked

pylab.plot(x,y,'-o')
pylab.show()
inline: interupt.png-
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Re: [Matplotlib-users] interrupted line with maskedarray (normal behavior ?)

2008-02-10 Thread David Trémouilles
Thanks Jeff, I think now I get the purpose of maskedearray the way it is 
used in matplotlib.

I have a slightly different objective: I just want to remove outliers 
from my curves. I think I will still play with maskedarray and used the 
compressed() function before 'sending' to matplotlib.
Any comments on that, any other idea?

Thanks,

David

Jeff Whitaker a écrit :
 David Trémouilles wrote:
 Hi,

  I've just start playing with maskedarray (the new implementation) 
 using fresh svn matplotib (0_91 maintenance).
 Plotting masked array does not behave as I would have expected.
 Indeed when drawing a line graph the masked walues interrupted the 
 line (see attach example).
 
 David:  Yes, this is the correct behavior.  The masked values are 
 treated as missing data.  No attempt is made to fill, or interpolate, 
 the missing data.
 I would prefer to see a continues line...
 
 Then you should interpolate the missing values yourself.  I think it 
 would be unwise for matplotlib to guess how you might want to do that.
 
 -Jeff
 Is it the expected behavior? Is there a way to change it?

 Thanks in advance,

 David
 

 

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Re: [Matplotlib-users] interrupted line with maskedarray (normal behavior ?)

2008-02-10 Thread David Trémouilles
Thank you very much Pierre!
You made me discover boolean index (numpy is fantastic !)
In the mean time, I now understand the purpose of maskedarray that I 
totally missed at a first sight.

Thanks to all of you,

David

Pierre GM a écrit :
 On Sunday 10 February 2008 12:40:38 David Trémouilles wrote:
 
 I have a slightly different objective: I just want to remove outliers
 from my curves. I think I will still play with maskedarray and used the
 compressed() function before 'sending' to matplotlib.
 Any comments on that, any other idea?
 
 So, you have two arrays x and y, with missing values in y that you don't want 
 to plot ?
 Assuming that your arrays are 1D, you can try something like:
 plot(x[logical_not(y.mask)], y.compressed())
 in order to ensure that the x and y to be plotted have the same size.
 
 Note that in this simple case, you don't need masked arrays, you just want to 
 plot point satisfying a given condition, right ?
 So:
 condition = (y=min_value)  (y= max_value)
 plot(x[condition],y[condition])
 will give the same results.
 
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