Hi,
We have been working on a python wx app GUI for finding and selecting metadata
(lots of lists and check boxes) from a test (that later fetches SQL
time-history data for further processing in LabView or elsewhere).
As an afterthought, we decided to add in a small function that would allow
previewing (plotting) of time-history data based on the selected metadata. The
objective is to have a window pop up with the plotted time history data and
allow the user to zoom, scroll etc, without closing or exiting the original GUI
for selecting the metadata. The reason I want a pop up window is because I
don't want to change the original metadata selection GUI (it's too complicated)
What I've done so far is:
Added a button to the metadata GUI called "plot". In the "OnPlotButton" event
handler I embedded the plotting code.
The "plot" button works fine when I click it the first time. However, problems
occur when I decide to plot a different set of data (without starting over the
metadata GUI). I'd like to choose some new metadata, then click on the plot
button again. But as of present, this causes the figure to show a gray image
(no lines plotted) and then both GUIs hang up. I've tried closing the figure
manually prior to selecting new metadata and clicking on "plot" but it still
causes the metadata GUI to lock up.
Based on what I've been reading regarding MPL, it seems that the matplotlib
show() function causes another instance of a GUI loop to remain suspended.
Is there any way to get the pop-up figure to show the time-history data and
remain interactive (zoom, scroll, etc) and be able to re-plot or "replace" the
current plot? I thought about using the draw() function but I couldn't get it
to "pop-up" the figure. Also, if I'm not mistaken, the draw() function doesn't
allow for interactive control?
I think this issue is similar to the issue described here:
http://mail.python.org/pipermail/pythonmac-sig/2005-March/013365.html but I
can't seem to find a simple solution, without embedding the plot figure
directly into the existing GUI (not something easy to do as I'm not a very
experienced Python programmer)
Please let me know if anyone can help.
Here is my code:
def OnPlotButton(self, event):
global SelTestID, SelRunList, SelEventID, SelChanList, SelCycList
if self.notebook.GetSelection() == 0:
SelTestID = self.listCtrlStatus.GetItem(0,1).GetText()#.strip(",
").split(", ")
if self.listCtrlStatus.GetItem(2,0).GetText() == "Event Selected: ":
SelRunList =
self.listCtrlStatus.GetItem(1,1).GetText().strip(", ").split(", ")
SelChanList = []
SelCycList = []
SelEventID =
self.listCtrlStatus.GetItem(2,1).GetText()#.strip(", ").split(", ")
else:
if self.listCtrlStatus.GetItem(1,1).GetText() == "All":
SelRunList = []
for iRun in range(self.checkListRuns.GetItemCount()):
SelRunList.append(str(self.checkListRuns.GetItemText(iRun)))
else:
SelRunList =
self.listCtrlStatus.GetItem(1,1).GetText().strip(", ").split(", ")
SelChanList = self.checkListBoxChans.GetCheckedStrings()
if self.listCtrlStatus.GetItem(3,1).GetText() == "All":
SelCycList = []
else:
SelCycList =
self.listCtrlStatus.GetItem(3,1).GetText().strip(", ").split(", ")
SelEventID = ''
elif self.notebook.GetSelection() == 1:
SelTestID = self.listCtrlStatus.GetItem(0,1).GetText()#.strip(",
").split(", ")
SelRunList = self.listCtrlStatus.GetItem(1,1).GetText().strip(",
").split(", ")
SelChanList = []
SelCycList = []
SelEventID = ''
##VTS.MsgBox("Test","eWO: " + SelTestID + "\nRuns: " + str(SelRunList)
+ "\nChans: " + str(SelChanList) + "\nCycles: " + str(SelCycList) + "\nEvent: "
+ SelEventID)
#cleanup to prevent memory leak if previously plotted
plt.close('all') ##make sure all figure windows are closed
fig = []
ax = []
#prep data for plotting plotting
myeWO = str(SelTestID)
nRuns = len(SelRunList)
myRuns = []
for iRuns in range(nRuns):
myRuns.append(str(SelRunList[iRuns]))
nChans = len(SelChanList)
myChans = []
for iChan in range(nChans):
myChans.append(str(SelChanList[iChan]))
dataLst = VTS.FetchSQLRunDataByName(myeWO, myRuns, myChans)
lenData = len(dataLst)
dataArry = np.zeros((lenData, nChans + 1))
for iPoint in range(lenData):
dataArry[iPoint] = dataLst[iPoint]
#begin plotting
fig = plt.figure(1)
ax = fig.add_subplot(111)
myPlotLines = []
for iChan in range(nChans):
tempLine, = ax.plot(dataArry[:,0], dataArry[:,iChan+1], label =
myChans[iChan])
myPlotLines.append(tempLine)
myTitle = plt.title('eWO: ' + myeWO + '\nRun IDs: ' + str(myRuns))
ax.grid('on')
##plt.legend(loc=0)
myLegend = plt.legend(loc=0)
legTxt = myLegend.get_texts() ##get legent text
plt.setp(legTxt, fontsize='small') ##set legend text fontsize to small
myXLabel = plt.xlabel('Time (s)')
##VTS.MsgBox("Test","eWO: " + SelTestID + "\neWO type: " +
str(type(SelTestID)) + "\nRuns: " + str(myRuns) + "\nnRuns " + str(nRuns) +
"\nChans: " + str(myChans) + "\nnChans: " + str(nChans) + "\nEvent: " +
SelEventID)
plt.show()
event.Skip()
Krishna Adrianto Pribadi
Test Engineer
Desk (TTF): 256.480.4450
Cell: 412.401.1477
Harley-Davidson Motor Co.
Talladega Test Facility
Vehicle Test Stands (VTS)
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