Hello,
I would like to see the following example http://matplotlib.sourceforge.net/examples/pylab_examples/ellipse_demo.ht
ml using the 2nd one http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt
4.html .
In fact, I don't undrestand how to add the figure to the screen (I'm a real
beginner with matplotlib but not with PyQt).
Thanks for any kind of help.
Everything you need is in those two examples. You create a figure, then create a canvas by passing the figure to the FigureCanvasQTAgg() constructor. Create the axes using the figure methods, add the ellipses using the axes methods, and then you can either set the FigureCanvasQTAgg instance as the central widget or you can add the canvas to the layout of another widget and set the widget as the central widget.
Darren
On Thu, Jan 15, 2009 at 11:56 AM, <projetmbc@…748…> wrote:
Hello,
I would like to see the following example [http://matplotlib.sourceforge.net/examples/pylab_examples/ellipse_demo.ht
ml](http://matplotlib.sourceforge.net/examples/pylab_examples/ellipse_demo.html) using the 2nd one [http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt
4.html](http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt4.html) .
In fact, I don’t undrestand how to add the figure to the screen (I’m a real
beginner with matplotlib but not with PyQt).
Thanks for any kind of help.
You’ll have to excuse some of the comments in the code (it’s in a constant state of revision), but this is a basic PyQt4/matplotlib widget that I use quite often and can be embedded using QtDesigner as well. You’ll obviously need PyQt4, Matplotlib, and Numpy to run it. Of course mods can be made as you see fit for your particular application.
I should note that Ctrl+Z zooms using the Spanselector and the top of the drawn span is the max Y and the the min Y always defaults to 0 (this works for my data sets). Ctrl+A zooms out. Save to csv is also an option (Ctrl+Alt+S)–this can fail if you’ve a weird data set. Ctrl+C copies a png of the current figure to the user’s home directory (works for both Linux and Windows) and also puts the image on the current clipboard.
I’ve also added an option to make multiple
plot layouts that are stored in a dictionary that can be accessed to plot to the given axes. If anyone has a more elegant solution please share. Let me know if you’ve questions.
Cheers,
Brian
mpl_pyqt4_widget.py (10.2 KB)
##############################
#!/usr/bin/env python
import os
import sys
from PyQt4 import QtCore, QtGui
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4 import NavigationToolbar2QT as NavigationToolbar
#from matplotlib.backend_bases import NavigationToolbar2
from matplotlib.figure import Figure
from matplotlib.widgets import SpanSelector
#from matplotlib.pyplot import savefig
import numpy as N
class MyMplCanvas(FigureCanvas):
def init(self, parent=None, width = 5, height = 5, dpi = 100, sharex = None, sharey = None):
self.fig = Figure(figsize = (width, height), dpi=dpi, facecolor = ‘#FFFFFF’)
self.axDict = {}
self.figInit = False
self.sharey = sharey
self.sharey = sharey
FigureCanvas.__init__(self, self.fig)
#self.fc = FigureCanvas(self.fig)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
self.setupSub(1)
def setupSub(self, numSubRows, numSubCols = 1, sharex = False, sharey = False):
self.fig.clf()
for m in range(1,numSubRows+1):
for n in range(1,numSubCols+1):
axName = 'ax%s'%m
axLoc = 100*numSubRows+10*n+m
#print axLoc
if sharex:
if m>1:
self.axDict[axName] = self.fig.add_subplot(axLoc, sharex = self.axDict['ax%s'%(m-1)])
else:
self.axDict[axName] = self.fig.add_subplot(axLoc)#, sharex = self.sharex, sharey = self.sharey)
else:
self.axDict[axName] = self.fig.add_subplot(axLoc)#, sharex = self.sharex, sharey = self.sharey)
self.figInit = True
self.fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9)
self.xtitle=""
self.ytitle=""
#self.PlotTitle = "Plot"
self.grid_status = True
self.xaxis_style = 'linear'
self.yaxis_style = 'linear'
self.format_labels()
def format_labels(self):
if self.figInit:
for ax in self.axDict.itervalues():
ax.title.set_fontsize(10)
ax.set_xlabel(self.xtitle, fontsize = 9)
ax.set_ylabel(self.ytitle, fontsize = 9)
labels_x = ax.get_xticklabels()
labels_y = ax.get_yticklabels()
for xlabel in labels_x:
xlabel.set_fontsize(8)
for ylabel in labels_y:
ylabel.set_fontsize(8)
ylabel.set_color('b')
if ax.get_legend() != None:
texts = ax.get_legend().get_texts()
for text in texts:
text.set_fontsize(8)
else:
print "please initiate the number of subplots. Call *.canvas.setupSub(numofSubs)"
def sizeHint(self):
w, h = self.get_width_height()
return QtCore.QSize(w, h)
def minimumSizeHint(self):
return QtCore.QSize(10, 10)
def sizeHint(self):
w, h = self.get_width_height()
return QtCore.QSize(w, h)
def minimumSizeHint(self):
return QtCore.QSize(10, 10)
class MyNavigationToolbar(NavigationToolbar) :
def init(self , parent , canvas , direction = ‘h’ ) :
#NavigationToolbar.init(self,parent,canvas)
#self.layout = QVBoxLayout( self )
self.canvas = canvas
QWidget.__init__( self, parent )
if direction=='h' :
self.layout = QHBoxLayout( self )
else :
self.layout = QVBoxLayout( self )
self.layout.setMargin( 2 )
self.layout.setSpacing( 0 )
NavigationToolbar2.__init__( self, canvas )
def set_message( self, s ):
pass
class MPL_Widget(QtGui.QWidget):
def init(self, parent = None):
QtGui.QWidget.init(self, parent)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.canvas = MyMplCanvas()
self.toolbar = NavigationToolbar(self.canvas, self.canvas)
#self.toolbar.hide()
self.vbox = QtGui.QVBoxLayout()
self.vbox.addWidget(self.canvas)
self.vbox.addWidget(self.toolbar)
self.setLayout(self.vbox)
self.ax1 = self.canvas.axDict[‘ax1’]
###############ZOOM CONTROLS ################
self.ZoomChrom = QtGui.QAction("Zoom Chrom", self)
self.ZoomChrom.setShortcut("Ctrl+Z")
self.addAction(self.ZoomChrom)
QtCore.QObject.connect(self.ZoomChrom,QtCore.SIGNAL("triggered()"), self.ZoomToggle)
self.actionAutoScaleChrom = QtGui.QAction("AutoScale", self)#self.MainWindow)
self.actionAutoScaleChrom.setShortcut("Ctrl+A")
self.addAction(self.actionAutoScaleChrom)
QtCore.QObject.connect(self.actionAutoScaleChrom,QtCore.SIGNAL("triggered()"), self.autoscale_plot)
self.span = SpanSelector(self.ax1, self.onselect, 'horizontal', minspan =0.01,
useblit=True, rectprops=dict(alpha=0.5, facecolor='#C6DEFF') )
self.hZoom = False
self.span.visible = False
self.localYMax = 0
self.canvas.mpl_connect('button_press_event', self.onclick)
###########SAVING FIGURE TO CLIPBOARD##########
self.cb = None #will be used for the clipboard
self.tempPath = getHomeDir()
self.tempPath = os.path.join(self.tempPath,'tempMPL.png')
self.mpl2ClipAction = QtGui.QAction("Save to Clipboard", self)
self.mpl2ClipAction.setShortcut("Ctrl+C")
self.addAction(self.mpl2ClipAction)
QtCore.QObject.connect(self.mpl2ClipAction,QtCore.SIGNAL("triggered()"), self.mpl2Clip)
#######SAVING FIGURE DATA############################
########### HELPER FUNCTIONS #########################
def ZoomToggle(self):
#self.toolbar.zoom() #this implements the classic zoom
if self.hZoom:
self.hZoom = False
self.span.visible = False
else:
self.hZoom = True
self.span.visible = True
def autoscale_plot(self):
#self.toolbar.home() #implements the classic return to home
self.ax1.autoscale_view(tight = False, scalex=True, scaley=True)
self.canvas.draw()
def onclick(self, event):
#sets up the maximum Y level to be displayed after the zoom.
#if not set then it maxes to the largest point in the data
#not necessarily the local max
if event.ydata != None:
self.localYMax = int(event.ydata)
def onselect(self, xmin, xmax):
#print xmin, xmax
if self.hZoom:
self.ax1.set_ylim(ymax = self.localYMax)
self.ax1.set_xlim(xmin, xmax)
def save2CSV(self):
path = self.SFDialog()
if path != None:
try:
lines = self.ax1.get_lines()
data2write = []
for line in lines:
data2write.append(line.get_data()[0])
data2write.append(line.get_data()[1])
print data2write
data2write = N.array(data2write)
data2write.dtype = N.float32
N.savetxt(str(path), N.transpose(data2write), delimiter = ',', fmt='%.4f')
except:
try:
#this is for the case where the data may not be in float format?
N.savetxt(str(path), N.transpose(data2write), delimiter = ',')
except:
print 'Error saving figure data'
errorMsg = "Sorry: %s\n\n:%s\n"%(sys.exc_type, sys.exc_value)
print errorMsg
def SFDialog(self):
fileName = QtGui.QFileDialog.getSaveFileName(self,
"Select File to Save",
"",
"csv Files (*.csv)")
if not fileName.isEmpty():
print fileName
return fileName
else:
return None
def mpl2Clip(self):
try:
self.canvas.fig.savefig(self.tempPath)
tempImg = QtGui.QImage(self.tempPath)
self.cb = QtGui.QApplication.clipboard()
self.cb.setImage(tempImg)
except:
print 'Error copying figure to clipboard'
errorMsg = "Sorry: %s\n\n:%s\n"%(sys.exc_type, sys.exc_value)
print errorMsg
####USED TO GET THE USERS HOME DIRECTORY FOR USE OF A TEMP FILE
def valid(path):
if path and os.path.isdir(path):
return True
return False
def env(name):
return os.environ.get( name, ‘’ )
def getHomeDir():
if sys.platform != ‘win32’:
return os.path.expanduser( ‘~’ )
homeDir = env( 'USERPROFILE' )
if not valid(homeDir):
homeDir = env( 'HOME' )
if not valid(homeDir) :
homeDir = '%s%s' % (env('HOMEDRIVE'),env('HOMEPATH'))
if not valid(homeDir) :
homeDir = env( 'SYSTEMDRIVE' )
if homeDir and (not homeDir.endswith('\\')) :
homeDir += '\\'
if not valid(homeDir) :
homeDir = 'C:\\'
return homeDir
def main():
import sys
app = QtGui.QApplication(sys.argv)
w = MPL_Widget()
ax1 = w.canvas.axDict['ax1']
x = N.arange(0, 20)
y = N.sin(x)
y2 = N.cos(x)
ax1.plot(x, y)
ax1.plot(x, y2)
w.show()
sys.exit(app.exec_())
if name == “main”:
main()
####################################
— On Thu, 1/15/09, projetmbc@…748… <projetmbc@…748…> wrote:
From: projetmbc@…748… <projetmbc@…748…>
Subject: [Matplotlib-users] Figure with pyQt
To: matplotlib-users@lists.sourceforge.net
Date: Thursday, January 15, 2009, 9:56 AMHello, I would like to see the following example http://matplotlib.sourceforge.net/examples/pylab_examples/ellipse_demo.ht ml using the 2nd one http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt 4.html . In fact, I don't undrestand how to add the figure to the screen (I'm a real beginner with matplotlib but not with PyQt). Thanks for any kind of help. ------------------------------------------------------------------------------ This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users