class ScansPanel(Panel):
"""Provides a display for the scans of the current experiment.
Options:
* ``fit_functions`` (default {}) -- dictionary for special fitting
functions. The name of the fit function is followed by a set of
a list of fit parameters and the string containing the fit function
code::
fit_functions = {
'Resonance': (['Vmax = 0.1', 'R = 0.6', 'f = ', 'L = ', 'C = '],
'Vmax / sqrt(R**2 + (f*L-1/(f*C))**2)'),
}
The function can use the all mathematical functions of the
`numpy <http://www.numpy.org/>`_ package.
"""
panelName = 'Scans'
def __init__(self, parent, client, options):
Panel.__init__(self, parent, client, options)
loadUi(self, 'panels/scans.ui')
ArbitraryFitter.arby_functions.update(options.get('fit_functions', {}))
self.statusBar = QStatusBar(self, sizeGripEnabled=False)
policy = self.statusBar.sizePolicy()
policy.setVerticalPolicy(QSizePolicy.Fixed)
self.statusBar.setSizePolicy(policy)
self.layout().addWidget(self.statusBar)
self.x_menu = QMenu(self)
self.x_menu.aboutToShow.connect(self.on_x_menu_aboutToShow)
self.actionXAxis.setMenu(self.x_menu)
self.y_menu = QMenu(self)
self.y_menu.aboutToShow.connect(self.on_y_menu_aboutToShow)
self.actionYAxis.setMenu(self.y_menu)
self.actionAutoDisplay.setChecked(True)
self.norm_menu = QMenu(self)
self.norm_menu.aboutToShow.connect(self.on_norm_menu_aboutToShow)
self.actionNormalized.setMenu(self.norm_menu)
quickfit = QShortcut(QKeySequence("G"), self)
quickfit.activated.connect(self.on_quickfit)
self.user_color = Qt.white
self.user_font = QFont('Monospace')
self.bulk_adding = False
self.no_openset = False
self.last_norm_selection = None
self.fitclass = GaussFitter
self.fitfuncmap = {}
self.menus = None
self.bars = None
self.data = self.mainwindow.data
# maps set uid -> plot
self.setplots = {}
# maps set uid -> list item
self.setitems = {}
# current plot object
self.currentPlot = None
# stack of set uids
self.setUidStack = []
# uids of automatically combined datasets -> uid of combined one
self.contSetUids = {}
self.splitter.setSizes([20, 80])
self.splitter.restoreState(self.splitterstate)
if self.tablecolwidth0 > 0:
self.metaTable.setColumnWidth(0, self.tablecolwidth0)
self.metaTable.setColumnWidth(1, self.tablecolwidth1)
self.data.datasetAdded.connect(self.on_data_datasetAdded)
self.data.pointsAdded.connect(self.on_data_pointsAdded)
self.data.fitAdded.connect(self.on_data_fitAdded)
client.experiment.connect(self.on_client_experiment)
self.setCurrentDataset(None)
self.updateList()
def loadSettings(self, settings):
self.splitterstate = settings.value('splitter', '', QByteArray)
self.tablecolwidth0 = settings.value('tablecolwidth0', 0, int)
self.tablecolwidth1 = settings.value('tablecolwidth1', 0, int)
def saveSettings(self, settings):
settings.setValue('splitter', self.splitter.saveState())
settings.setValue('tablecolwidth0', self.metaTable.columnWidth(0))
settings.setValue('tablecolwidth1', self.metaTable.columnWidth(1))
def setCustomStyle(self, font, back):
self.user_font = font
self.user_color = back
for plot in self.setplots.values():
plot.setBackgroundColor(back)
plot.update()
bold = QFont(font)
bold.setBold(True)
larger = scaledFont(font, 1.6)
for plot in self.setplots.values():
plot.setFonts(font, bold, larger)
def requestClose(self):
# Always succeeds, but break up circular references so that the panel
# object can be deleted properly.
self.currentPlot = None
self.setplots.clear()
return True
def _autoscale(self, x=None, y=None):
xflag = x if x is not None else self.actionScaleX.isChecked()
yflag = y if y is not None else self.actionScaleY.isChecked()
if self.currentPlot:
self.currentPlot.setAutoScaleFlags(xflag, yflag)
self.actionAutoScale.setChecked(xflag or yflag)
self.actionScaleX.setChecked(xflag)
self.actionScaleY.setChecked(yflag)
self.currentPlot.update()
def enablePlotActions(self, on):
for action in [
self.actionSavePlot, self.actionPrint, self.actionResetPlot,
self.actionAttachElog, self.actionCombine, self.actionClosePlot,
self.actionDeletePlot, self.actionLogXScale, self.actionLogScale,
self.actionAutoScale, self.actionScaleX, self.actionScaleY,
self.actionXAxis, self.actionYAxis, self.actionNormalized,
self.actionUnzoom, self.actionLegend, self.actionModifyData,
self.actionFitPeak, self.actionFitPeakPV, self.actionFitPeakPVII,
self.actionFitTc, self.actionFitCosine, self.actionFitSigmoid,
self.actionFitArby, self.actionErrors,
]:
action.setEnabled(on)
def enableAutoScaleActions(self, on):
for action in [self.actionAutoScale, self.actionScaleX,
self.actionScaleY]:
action.setEnabled(on)
def getMenus(self):
if not self.menus:
menu1 = QMenu('&Data plot', self)
menu1.addAction(self.actionSavePlot)
menu1.addAction(self.actionPrint)
menu1.addAction(self.actionAttachElog)
menu1.addSeparator()
menu1.addAction(self.actionResetPlot)
menu1.addAction(self.actionAutoDisplay)
menu1.addAction(self.actionCombine)
menu1.addAction(self.actionClosePlot)
menu1.addAction(self.actionDeletePlot)
menu1.addSeparator()
menu1.addAction(self.actionXAxis)
menu1.addAction(self.actionYAxis)
menu1.addAction(self.actionNormalized)
menu1.addSeparator()
menu1.addAction(self.actionUnzoom)
menu1.addAction(self.actionLogXScale)
menu1.addAction(self.actionLogScale)
menu1.addAction(self.actionAutoScale)
menu1.addAction(self.actionScaleX)
menu1.addAction(self.actionScaleY)
menu1.addAction(self.actionLegend)
menu1.addAction(self.actionErrors)
menu1.addSeparator()
menu2 = QMenu('Data &manipulation', self)
menu2.addAction(self.actionModifyData)
menu2.addSeparator()
ag = QActionGroup(menu2)
ag.addAction(self.actionFitPeakGaussian)
ag.addAction(self.actionFitPeakLorentzian)
ag.addAction(self.actionFitPeakPV)
ag.addAction(self.actionFitPeakPVII)
ag.addAction(self.actionFitTc)
ag.addAction(self.actionFitCosine)
ag.addAction(self.actionFitSigmoid)
ag.addAction(self.actionFitLinear)
ag.addAction(self.actionFitExponential)
menu2.addAction(self.actionFitPeak)
menu2.addAction(self.actionPickInitial)
menu2.addAction(self.actionFitPeakGaussian)
menu2.addAction(self.actionFitPeakLorentzian)
menu2.addAction(self.actionFitPeakPV)
menu2.addAction(self.actionFitPeakPVII)
menu2.addAction(self.actionFitTc)
menu2.addAction(self.actionFitCosine)
menu2.addAction(self.actionFitSigmoid)
menu2.addAction(self.actionFitLinear)
menu2.addAction(self.actionFitExponential)
menu2.addSeparator()
menu2.addAction(self.actionFitArby)
self.menus = [menu1, menu2]
return self.menus
def getToolbars(self):
if not self.bars:
bar = QToolBar('Scans')
bar.addAction(self.actionSavePlot)
bar.addAction(self.actionPrint)
bar.addSeparator()
bar.addAction(self.actionXAxis)
bar.addAction(self.actionYAxis)
bar.addAction(self.actionNormalized)
bar.addSeparator()
bar.addAction(self.actionLogXScale)
bar.addAction(self.actionLogScale)
bar.addAction(self.actionUnzoom)
bar.addSeparator()
bar.addAction(self.actionAutoScale)
bar.addAction(self.actionScaleX)
bar.addAction(self.actionScaleY)
bar.addAction(self.actionLegend)
bar.addAction(self.actionErrors)
bar.addAction(self.actionResetPlot)
bar.addAction(self.actionDeletePlot)
bar.addSeparator()
bar.addAction(self.actionAutoDisplay)
bar.addAction(self.actionCombine)
fitbar = QToolBar('Scan fitting')
fitbar.addAction(self.actionFitPeak)
wa = QWidgetAction(fitbar)
self.fitPickCheckbox = QCheckBox(fitbar)
self.fitPickCheckbox.setText('Pick')
self.fitPickCheckbox.setChecked(True)
self.actionPickInitial.setChecked(True)
self.fitPickCheckbox.toggled.connect(self.actionPickInitial.setChecked)
self.actionPickInitial.toggled.connect(self.fitPickCheckbox.setChecked)
layout = QHBoxLayout()
layout.setContentsMargins(10, 0, 10, 0)
layout.addWidget(self.fitPickCheckbox)
frame = QFrame(fitbar)
frame.setLayout(layout)
wa.setDefaultWidget(frame)
fitbar.addAction(wa)
ag = QActionGroup(fitbar)
ag.addAction(self.actionFitPeakGaussian)
ag.addAction(self.actionFitPeakLorentzian)
ag.addAction(self.actionFitPeakPV)
ag.addAction(self.actionFitPeakPVII)
ag.addAction(self.actionFitTc)
ag.addAction(self.actionFitCosine)
ag.addAction(self.actionFitSigmoid)
ag.addAction(self.actionFitLinear)
ag.addAction(self.actionFitExponential)
wa = QWidgetAction(fitbar)
self.fitComboBox = QComboBox(fitbar)
for a in ag.actions():
itemtext = a.text().replace('&', '')
self.fitComboBox.addItem(itemtext)
self.fitfuncmap[itemtext] = a
self.fitComboBox.currentIndexChanged.connect(
self.on_fitComboBox_currentIndexChanged)
wa.setDefaultWidget(self.fitComboBox)
fitbar.addAction(wa)
fitbar.addSeparator()
fitbar.addAction(self.actionFitArby)
self.bars = [bar, fitbar]
return self.bars
def updateList(self):
self.datasetList.clear()
for dataset in self.data.sets:
if dataset.invisible:
continue
shortname = '%s - %s' % (dataset.name, dataset.default_xname)
item = QListWidgetItem(shortname, self.datasetList)
item.setData(32, dataset.uid)
self.setitems[dataset.uid] = item
def on_logYinDomain(self, flag):
if not flag:
self.actionLogScale.setChecked(flag)
def on_logXinDomain(self, flag):
if not flag:
self.actionLogXScale.setChecked(flag)
def on_datasetList_currentItemChanged(self, item, previous):
if self.no_openset or item is None:
return
self.openDataset(itemuid(item))
def on_datasetList_itemClicked(self, item):
# this handler is needed in addition to currentItemChanged
# since one can't change the current item if it's the only one
if self.no_openset or item is None:
return
self.openDataset(itemuid(item))
def openDataset(self, uid):
dataset = self.data.uid2set[uid]
newplot = None
if dataset.uid not in self.setplots:
newplot = DataSetPlot(self.plotFrame, self, dataset)
if self.currentPlot:
newplot.enableCurvesFrom(self.currentPlot)
self.setplots[dataset.uid] = newplot
self.datasetList.setCurrentItem(self.setitems[uid])
plot = self.setplots[dataset.uid]
self.enableAutoScaleActions(plot.HAS_AUTOSCALE)
if newplot and plot.HAS_AUTOSCALE:
from gr.pygr import PlotAxes
plot.plot.autoscale = PlotAxes.SCALE_X | PlotAxes.SCALE_Y
self.setCurrentDataset(plot)
def setCurrentDataset(self, plot):
if self.currentPlot:
self.plotLayout.removeWidget(self.currentPlot)
self.currentPlot.hide()
self.metaTable.clearContents()
self.currentPlot = plot
if plot is None:
self.enablePlotActions(False)
else:
try:
self.setUidStack.remove(plot.dataset.uid)
except ValueError:
pass
self.setUidStack.append(plot.dataset.uid)
num_items = 0
for catname in INTERESTING_CATS:
if catname in plot.dataset.headerinfo:
num_items += 2 + len(plot.dataset.headerinfo[catname])
num_items -= 1 # remove last empty row
self.metaTable.setRowCount(num_items)
i = 0
for catname in INTERESTING_CATS:
if catname in plot.dataset.headerinfo:
values = plot.dataset.headerinfo[catname]
catdesc = catname
for name_desc in INFO_CATEGORIES:
if name_desc[0] == catname:
catdesc = name_desc[1]
catitem = QTableWidgetItem(catdesc)
font = catitem.font()
font.setBold(True)
catitem.setFont(font)
self.metaTable.setItem(i, 0, catitem)
self.metaTable.setSpan(i, 0, 1, 2)
i += 1
for dev, name, value in sorted(values):
key = '%s_%s' % (dev, name) if name != 'value' else dev
self.metaTable.setItem(i, 0, QTableWidgetItem(key))
self.metaTable.setItem(i, 1, QTableWidgetItem(value))
if self.metaTable.columnSpan(i, 0) == 2:
self.metaTable.setSpan(i, 0, 1, 1)
i += 1
i += 1
self.metaTable.resizeRowsToContents()
self.enablePlotActions(True)
self.enableAutoScaleActions(self.currentPlot.HAS_AUTOSCALE)
self.datasetList.setCurrentItem(self.setitems[plot.dataset.uid])
self.actionXAxis.setText('X axis: %s' % plot.current_xname)
self.actionNormalized.setChecked(bool(plot.normalized))
self.actionLogScale.setChecked(plot.isLogScaling())
self.actionLogXScale.setChecked(plot.isLogXScaling())
self.actionLegend.setChecked(plot.isLegendEnabled())
self.actionErrors.setChecked(plot.isErrorBarEnabled())
if plot.HAS_AUTOSCALE:
from gr.pygr import PlotAxes
mask = plot.plot.autoscale
self._autoscale(x=mask & PlotAxes.SCALE_X,
y=mask & PlotAxes.SCALE_Y)
plot.logYinDomain.connect(self.on_logYinDomain)
plot.logXinDomain.connect(self.on_logXinDomain)
self.plotLayout.addWidget(plot)
plot.show()
def on_data_datasetAdded(self, dataset):
shortname = '%s - %s' % (dataset.name, dataset.default_xname)
if dataset.uid in self.setitems:
self.setitems[dataset.uid].setText(shortname)
if dataset.uid in self.setplots:
self.setplots[dataset.uid].updateDisplay()
else:
self.no_openset = True
item = QListWidgetItem(shortname, self.datasetList)
item.setData(32, dataset.uid)
self.setitems[dataset.uid] = item
if self.actionAutoDisplay.isChecked() and not self.data.bulk_adding:
self.openDataset(dataset.uid)
self.no_openset = False
# If the dataset is a continuation of another dataset, automatically
# create a combined dataset.
contuids = dataset.continuation
if contuids:
alluids = tuple(contuids.split(',')) + (dataset.uid,)
# Did we already create this set? Then don't create it again.
if self.contSetUids.get(alluids) in self.setitems:
return
allsets = list(map(self.data.uid2set.get, alluids))
newuid = self._combine(COMBINE, allsets)
if newuid:
self.contSetUids[alluids] = newuid
def on_data_pointsAdded(self, dataset):
if dataset.uid in self.setplots:
self.setplots[dataset.uid].pointsAdded()
def on_data_fitAdded(self, dataset, res):
if dataset.uid in self.setplots:
self.setplots[dataset.uid]._plotFit(res)
def on_client_experiment(self, data):
self.datasetList.clear()
# hide plot
self.setCurrentDataset(None)
# back to the beginning
self.setplots = {}
self.setitems = {}
self.currentPlot = None
self.setUidStack = []
@pyqtSlot()
def on_actionClosePlot_triggered(self):
current_set = self.setUidStack.pop()
if self.setUidStack:
self.setCurrentDataset(self.setplots[self.setUidStack[-1]])
else:
self.setCurrentDataset(None)
del self.setplots[current_set]
@pyqtSlot()
def on_actionResetPlot_triggered(self):
current_set = self.setUidStack.pop()
del self.setplots[current_set]
self.openDataset(current_set)
@pyqtSlot()
def on_actionDeletePlot_triggered(self):
if self.currentPlot.dataset.scaninfo != 'combined set':
if not self.askQuestion('This is not a combined set: still '
'delete it from the list?'):
return
current_set = self.setUidStack.pop()
self.data.uid2set[current_set].invisible = True
if self.setUidStack:
self.setCurrentDataset(self.setplots[self.setUidStack[-1]])
else:
self.setCurrentDataset(None)
del self.setplots[current_set]
for i in range(self.datasetList.count()):
if itemuid(self.datasetList.item(i)) == current_set:
self.datasetList.takeItem(i)
break
@pyqtSlot()
def on_actionSavePlot_triggered(self):
filename = self.currentPlot.savePlot()
if filename:
self.statusBar.showMessage('Plot successfully saved to %s.' %
filename)
@pyqtSlot()
def on_actionPrint_triggered(self):
if self.currentPlot.printPlot():
self.statusBar.showMessage('Plot successfully printed.')
@pyqtSlot()
def on_actionAttachElog_triggered(self):
newdlg = dialogFromUi(self, 'panels/plot_attach.ui')
suffix = self.currentPlot.SAVE_EXT
newdlg.filename.setText(
safeName('data_%s' % self.currentPlot.dataset.name + suffix))
ret = newdlg.exec_()
if ret != QDialog.Accepted:
return
descr = newdlg.description.text()
fname = newdlg.filename.text()
pathname = self.currentPlot.saveQuietly()
with open(pathname, 'rb') as fp:
remotefn = self.client.ask('transfer', fp.read())
if remotefn is not None:
self.client.eval('_LogAttach(%r, [%r], [%r])' %
(descr, remotefn, fname))
os.unlink(pathname)
@pyqtSlot()
def on_actionUnzoom_triggered(self):
self.currentPlot.unzoom()
@pyqtSlot(bool)
def on_actionLogScale_toggled(self, on):
self.currentPlot.setLogScale(on)
@pyqtSlot(bool)
def on_actionLogXScale_toggled(self, on):
self.currentPlot.setLogXScale(on)
@pyqtSlot(bool)
def on_actionAutoScale_toggled(self, on):
self._autoscale(on, on)
@pyqtSlot(bool)
def on_actionScaleX_toggled(self, on):
self._autoscale(x=on)
@pyqtSlot(bool)
def on_actionScaleY_toggled(self, on):
self._autoscale(y=on)
def on_x_menu_aboutToShow(self):
self.x_menu.clear()
if not self.currentPlot:
return
done = set()
for name in self.currentPlot.dataset.xnameunits:
if name in done:
continue
done.add(name)
action = self.x_menu.addAction(name)
action.setData(name)
action.setCheckable(True)
if name == self.currentPlot.current_xname:
action.setChecked(True)
action.triggered.connect(self.on_x_action_triggered)
@pyqtSlot()
def on_x_action_triggered(self, text=None):
if text is None:
text = self.sender().data()
self.actionXAxis.setText('X axis: %s' % text)
self.currentPlot.current_xname = text
self.currentPlot.updateDisplay()
self.on_actionUnzoom_triggered()
@pyqtSlot()
def on_actionXAxis_triggered(self):
self.bars[0].widgetForAction(self.actionXAxis).showMenu()
def on_y_menu_aboutToShow(self):
self.y_menu.clear()
if not self.currentPlot:
return
for curve in self.currentPlot.dataset.curves:
action = self.y_menu.addAction(curve.full_description)
action.setData(curve.full_description)
action.setCheckable(True)
if not curve.hidden:
action.setChecked(True)
action.triggered.connect(self.on_y_action_triggered)
@pyqtSlot()
def on_y_action_triggered(self, text=None):
if text is None:
text = self.sender().data()
if not self.currentPlot:
return
for curve in self.currentPlot.dataset.curves:
if curve.full_description == text:
curve.hidden = not curve.hidden
self.currentPlot.updateDisplay()
self.on_actionUnzoom_triggered()
@pyqtSlot()
def on_actionYAxis_triggered(self):
self.bars[0].widgetForAction(self.actionYAxis).showMenu()
@pyqtSlot()
def on_actionNormalized_triggered(self):
if not self.currentPlot:
return
if self.currentPlot.normalized is not None:
self.on_norm_action_triggered('None')
else:
all_normnames = [name for (_, name)
in self.currentPlot.dataset.normindices]
if self.last_norm_selection and \
self.last_norm_selection in all_normnames:
use = self.last_norm_selection
else:
use = all_normnames[0] if all_normnames else 'None'
self.on_norm_action_triggered(use)
def on_norm_menu_aboutToShow(self):
self.norm_menu.clear()
if self.currentPlot:
none_action = self.norm_menu.addAction('None')
none_action.setData('None')
none_action.setCheckable(True)
none_action.setChecked(True)
none_action.triggered.connect(self.on_norm_action_triggered)
max_action = self.norm_menu.addAction('Maximum')
max_action.setData('Maximum')
max_action.setCheckable(True)
if self.currentPlot.normalized == 'Maximum':
max_action.setChecked(True)
none_action.setChecked(False)
max_action.triggered.connect(self.on_norm_action_triggered)
for _, name in self.currentPlot.dataset.normindices:
action = self.norm_menu.addAction(name)
action.setData(name)
action.setCheckable(True)
if name == self.currentPlot.normalized:
action.setChecked(True)
none_action.setChecked(False)
action.triggered.connect(self.on_norm_action_triggered)
@pyqtSlot()
def on_norm_action_triggered(self, text=None):
if text is None:
text = self.sender().data()
if text == 'None':
self.currentPlot.normalized = None
self.actionNormalized.setChecked(False)
else:
self.last_norm_selection = text
self.currentPlot.normalized = text
self.actionNormalized.setChecked(True)
self.currentPlot.updateDisplay()
self.on_actionUnzoom_triggered()
@pyqtSlot(bool)
def on_actionLegend_toggled(self, on):
self.currentPlot.setLegend(on)
@pyqtSlot(bool)
def on_actionErrors_toggled(self, on):
self.currentPlot.setErrorBarEnabled(on)
@pyqtSlot()
def on_actionModifyData_triggered(self):
self.currentPlot.modifyData()
@pyqtSlot()
def on_actionFitPeak_triggered(self):
self.currentPlot.beginFit(self.fitclass, self.actionFitPeak,
pickmode=self.fitPickCheckbox.isChecked())
@pyqtSlot(int)
def on_fitComboBox_currentIndexChanged(self, index):
self.fitfuncmap[self.fitComboBox.currentText()].trigger()
@pyqtSlot()
def on_actionFitPeakGaussian_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakGaussian.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = GaussFitter
@pyqtSlot()
def on_actionFitPeakLorentzian_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakLorentzian.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = LorentzFitter
@pyqtSlot()
def on_actionFitPeakPV_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakPV.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = PseudoVoigtFitter
@pyqtSlot()
def on_actionFitPeakPVII_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakPVII.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = PearsonVIIFitter
@pyqtSlot()
def on_actionFitTc_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitTc.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = TcFitter
@pyqtSlot()
def on_actionFitCosine_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitCosine.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = CosineFitter
@pyqtSlot()
def on_actionFitSigmoid_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitSigmoid.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = SigmoidFitter
@pyqtSlot()
def on_actionFitLinear_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitLinear.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = LinearFitter
@pyqtSlot()
def on_actionFitExponential_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitExponential.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = ExponentialFitter
@pyqtSlot()
def on_actionFitArby_triggered(self):
# no second argument: the "arbitrary" action is not checkable
self.currentPlot.beginFit(ArbitraryFitter, None,
pickmode=self.fitPickCheckbox.isChecked())
@pyqtSlot()
def on_quickfit(self):
if not self.currentPlot or not self.currentPlot.underMouse():
return
self.currentPlot.fitQuick()
@pyqtSlot()
def on_actionCombine_triggered(self):
current = self.currentPlot.dataset.uid
dlg = dialogFromUi(self, 'panels/dataops.ui')
for i in range(self.datasetList.count()):
item = self.datasetList.item(i)
newitem = QListWidgetItem(item.text(), dlg.otherList)
newitem.setData(32, item.data(32))
if itemuid(item) == current:
dlg.otherList.setCurrentItem(newitem)
# paint the current set in grey to indicate it's not allowed
# to be selected
newitem.setBackground(self.palette().brush(QPalette.Mid))
newitem.setFlags(Qt.NoItemFlags)
if dlg.exec_() != QDialog.Accepted:
return
items = dlg.otherList.selectedItems()
sets = [self.data.uid2set[current]]
for item in items:
if itemuid(item) == current:
return self.showError('Cannot combine set with itself.')
sets.append(self.data.uid2set[itemuid(item)])
for rop, rb in [(TOGETHER, dlg.opTogether),
(COMBINE, dlg.opCombine),
(ADD, dlg.opAdd),
(SUBTRACT, dlg.opSubtract),
(DIVIDE, dlg.opDivide)]:
if rb.isChecked():
op = rop
break
self._combine(op, sets)
def _combine(self, op, sets):
if op == TOGETHER:
newset = ScanData()
newset.name = combineattr(sets, 'name', sep=', ')
newset.invisible = False
newset.curves = []
newset.scaninfo = 'combined set'
# combine xnameunits from those that are in all sets
all_xnu = set(sets[0].xnameunits)
for dset in sets[1:]:
all_xnu &= set(dset.xnameunits)
newset.xnameunits = ['Default'] + [xnu for xnu in sets[0].xnameunits
if xnu in all_xnu]
newset.default_xname = 'Default'
newset.normindices = sets[0].normindices
# for together only, the number of curves and their columns
# are irrelevant, just put all together
for dataset in sets:
for curve in dataset.curves:
newcurve = curve.copy()
if not newcurve.source:
newcurve.source = dataset.name
newset.curves.append(newcurve)
self.data.add_existing_dataset(newset, [dataset.uid for dataset in sets])
return newset.uid
# else, need same axes, and same number and types of curves
firstset = sets[0]
nameprops = [firstset.xnames, firstset.xunits]
curveprops = [(curve.description, curve.yindex)
for curve in firstset.curves]
for dataset in sets[1:]:
if [dataset.xnames, dataset.xunits] != nameprops:
self.showError('Sets have different axes.')
return
if [(curve.description, curve.yindex)
for curve in dataset.curves] != curveprops:
self.showError('Sets have different curves.')
return
if op == COMBINE:
newset = ScanData()
newset.name = combineattr(sets, 'name', sep=', ')
newset.invisible = False
newset.curves = []
newset.scaninfo = 'combined set'
newset.xnameunits = firstset.xnameunits
newset.default_xname = firstset.default_xname
newset.normindices = firstset.normindices
for curves in zip(*(dataset.curves for dataset in sets)):
newcurve = curves[0].copy()
newcurve.datay = DataProxy(c.datay for c in curves)
newcurve.datady = DataProxy(c.datady for c in curves)
newcurve.datax = {xnu: DataProxy(c.datax[xnu] for c in curves)
for xnu in newset.xnameunits}
newcurve.datanorm = {nn: DataProxy(c.datanorm[nn] for c in curves)
for i, nn in newset.normindices}
newset.curves.append(newcurve)
self.data.add_existing_dataset(newset,
[dataset.uid for dataset in sets])
return newset.uid
if op == ADD:
sep = ' + '
elif op == SUBTRACT:
sep = ' - '
elif op == DIVIDE:
sep = ' / '
newset = ScanData()
newset.name = combineattr(sets, 'name', sep=sep)
newset.invisible = False
newset.scaninfo = 'combined set'
newset.curves = []
newset.xnameunits = firstset.xnameunits
newset.default_xname = firstset.default_xname
if op in (SUBTRACT, DIVIDE):
# remove information about normalization -- doesn't make sense
newset.normindices = []
else:
newset.normindices = firstset.normindices
for curves in zip(*(dataset.curves for dataset in sets)):
newcurve = curves[0].deepcopy()
# CRUDE HACK: don't care about the x values, operate by index
removepoints = set()
for curve in curves[1:]:
for i in range(len(newcurve.datay)):
y1, y2 = float(newcurve.datay[i]), float(curve.datay[i])
if newcurve.dyindex != -1:
dy1 = newcurve.datady[i]
dy2 = curve.datady[i]
else:
dy1 = dy2 = 1.
if op == ADD:
newcurve.datay[i] = y1 + y2
newcurve.datady[i] = sqrt(dy1**2 + dy2**2)
for name in newcurve.datanorm:
newcurve.datanorm[name][i] += curve.datanorm[name][i]
elif op == SUBTRACT:
newcurve.datay[i] = y1 - y2
newcurve.datady[i] = sqrt(dy1**2 + dy2**2)
elif op == DIVIDE:
if y2 == 0:
y2 = 1. # generate a value for now
removepoints.add(i)
newcurve.datay[i] = y1 / y2
newcurve.datady[i] = sqrt((dy1/y2)**2 +
(dy2*y1 / y2**2)**2)
# remove points where we would have divided by zero
if removepoints:
newcurve.datay = [v for (i, v) in enumerate(newcurve.datay)
if i not in removepoints]
newcurve.datady = [v for (i, v) in enumerate(newcurve.datady)
if i not in removepoints]
for name in newcurve.datax:
newcurve.datax[name] = \
[v for (i, v) in enumerate(newcurve.datax[name])
if i not in removepoints]
for name in newcurve.datanorm:
newcurve.datanorm[name] = \
[v for (i, v) in enumerate(newcurve.datanorm[name])
if i not in removepoints]
newset.curves.append(newcurve)
self.data.add_existing_dataset(newset)
return newset.uid
class BaseHistoryWindow(object):
client = None
presetdict = None
def __init__(self):
loadUi(self, 'panels/history.ui')
self.user_color = Qt.white
self.user_font = QFont('Monospace')
self.views = []
# stack of views to display
self.viewStack = []
# maps watched keys to their views
self.keyviews = {}
# current plot object
self.currentPlot = None
self.fitclass = LinearFitter
self.fitfuncmap = {}
self.enablePlotActions(False)
self.presetmenu = QMenu('&Presets', self)
for (name, view) in self.last_views:
item = QListWidgetItem(name, self.viewList)
item.setForeground(QBrush(QColor('#aaaaaa')))
item.setData(Qt.UserRole, view)
self.menus = None
self.bar = None
# NOTE: for this class, automatic connections don't work on PyQt4 >=
# 4.12 since this class is not derived from QObject. But on older PyQt4
# and PyQt5, they do work, so we change use the usual naming scheme
# slightly to avoid double connections.
self.viewList.currentItemChanged.connect(
self.on__viewList_currentItemChanged)
self.viewList.itemClicked.connect(self.on__viewList_itemClicked)
self.viewList.itemDoubleClicked.connect(
self.on__viewList_itemDoubleClicked)
self.actionNew.triggered.connect(self.on__actionNew_triggered)
self.actionEditView.triggered.connect(
self.on__actionEditView_triggered)
self.actionCloseView.triggered.connect(
self.on__actionCloseView_triggered)
self.actionResetView.triggered.connect(
self.on__actionResetView_triggered)
self.actionDeleteView.triggered.connect(
self.on__actionDeleteView_triggered)
self.actionSavePlot.triggered.connect(
self.on__actionSavePlot_triggered)
self.actionPrint.triggered.connect(self.on__actionPrint_triggered)
self.actionUnzoom.triggered.connect(self.on__actionUnzoom_triggered)
self.actionLogScale.toggled.connect(self.on__actionLogScale_toggled)
self.actionAutoScale.toggled.connect(self.on__actionAutoScale_toggled)
self.actionScaleX.toggled.connect(self.on__actionScaleX_toggled)
self.actionScaleY.toggled.connect(self.on__actionScaleY_toggled)
self.actionLegend.toggled.connect(self.on__actionLegend_toggled)
self.actionSymbols.toggled.connect(self.on__actionSymbols_toggled)
self.actionLines.toggled.connect(self.on__actionLines_toggled)
self.actionSaveData.triggered.connect(
self.on__actionSaveData_triggered)
self.actionFitPeak.triggered.connect(self.on__actionFitPeak_triggered)
self.actionFitArby.triggered.connect(self.on__actionFitArby_triggered)
self.actionFitPeakGaussian.triggered.connect(
self.on__actionFitPeakGaussian_triggered)
self.actionFitPeakLorentzian.triggered.connect(
self.on__actionFitPeakLorentzian_triggered)
self.actionFitPeakPV.triggered.connect(
self.on__actionFitPeakPV_triggered)
self.actionFitPeakPVII.triggered.connect(
self.on__actionFitPeakPVII_triggered)
self.actionFitTc.triggered.connect(self.on__actionFitTc_triggered)
self.actionFitCosine.triggered.connect(
self.on__actionFitCosine_triggered)
self.actionFitSigmoid.triggered.connect(
self.on__actionFitSigmoid_triggered)
self.actionFitLinear.triggered.connect(
self.on__actionFitLinear_triggered)
self.actionFitExponential.triggered.connect(
self.on__actionFitExponential_triggered)
def getMenus(self):
menu = QMenu('&History viewer', self)
menu.addAction(self.actionNew)
menu.addSeparator()
menu.addAction(self.actionSavePlot)
menu.addAction(self.actionPrint)
menu.addAction(self.actionAttachElog)
menu.addAction(self.actionSaveData)
menu.addSeparator()
menu.addAction(self.actionEditView)
menu.addAction(self.actionCloseView)
menu.addAction(self.actionDeleteView)
menu.addAction(self.actionResetView)
menu.addSeparator()
menu.addAction(self.actionLogScale)
menu.addAction(self.actionAutoScale)
menu.addAction(self.actionScaleX)
menu.addAction(self.actionScaleY)
menu.addAction(self.actionUnzoom)
menu.addAction(self.actionLegend)
menu.addAction(self.actionSymbols)
menu.addAction(self.actionLines)
ag = QActionGroup(menu)
ag.addAction(self.actionFitPeakGaussian)
ag.addAction(self.actionFitPeakLorentzian)
ag.addAction(self.actionFitPeakPV)
ag.addAction(self.actionFitPeakPVII)
ag.addAction(self.actionFitTc)
ag.addAction(self.actionFitCosine)
ag.addAction(self.actionFitSigmoid)
ag.addAction(self.actionFitLinear)
ag.addAction(self.actionFitExponential)
menu.addAction(self.actionFitPeak)
menu.addAction(self.actionPickInitial)
menu.addAction(self.actionFitPeakGaussian)
menu.addAction(self.actionFitPeakLorentzian)
menu.addAction(self.actionFitPeakPV)
menu.addAction(self.actionFitPeakPVII)
menu.addAction(self.actionFitTc)
menu.addAction(self.actionFitCosine)
menu.addAction(self.actionFitSigmoid)
menu.addAction(self.actionFitLinear)
menu.addAction(self.actionFitExponential)
menu.addSeparator()
menu.addAction(self.actionFitArby)
menu.addSeparator()
menu.addAction(self.actionClose)
self._refresh_presets()
return [menu, self.presetmenu]
def getToolbars(self):
if not self.bar:
bar = QToolBar('History viewer')
bar.addAction(self.actionNew)
bar.addAction(self.actionEditView)
bar.addSeparator()
bar.addAction(self.actionSavePlot)
bar.addAction(self.actionPrint)
bar.addAction(self.actionSaveData)
bar.addSeparator()
bar.addAction(self.actionUnzoom)
bar.addAction(self.actionLogScale)
bar.addSeparator()
bar.addAction(self.actionAutoScale)
bar.addAction(self.actionScaleX)
bar.addAction(self.actionScaleY)
bar.addSeparator()
bar.addAction(self.actionResetView)
bar.addAction(self.actionDeleteView)
bar.addSeparator()
bar.addAction(self.actionFitPeak)
wa = QWidgetAction(bar)
self.fitPickCheckbox = QCheckBox(bar)
self.fitPickCheckbox.setText('Pick')
self.fitPickCheckbox.setChecked(True)
self.actionPickInitial.setChecked(True)
self.fitPickCheckbox.toggled.connect(
self.actionPickInitial.setChecked)
self.actionPickInitial.toggled.connect(
self.fitPickCheckbox.setChecked)
layout = QHBoxLayout()
layout.setContentsMargins(10, 0, 10, 0)
layout.addWidget(self.fitPickCheckbox)
frame = QFrame(bar)
frame.setLayout(layout)
wa.setDefaultWidget(frame)
bar.addAction(wa)
ag = QActionGroup(bar)
ag.addAction(self.actionFitPeakGaussian)
ag.addAction(self.actionFitPeakLorentzian)
ag.addAction(self.actionFitPeakPV)
ag.addAction(self.actionFitPeakPVII)
ag.addAction(self.actionFitTc)
ag.addAction(self.actionFitCosine)
ag.addAction(self.actionFitSigmoid)
ag.addAction(self.actionFitLinear)
ag.addAction(self.actionFitExponential)
wa = QWidgetAction(bar)
self.fitComboBox = QComboBox(bar)
for a in ag.actions():
itemtext = a.text().replace('&', '')
self.fitComboBox.addItem(itemtext)
self.fitfuncmap[itemtext] = a
self.fitComboBox.currentIndexChanged.connect(
self.on__fitComboBox_currentIndexChanged)
wa.setDefaultWidget(self.fitComboBox)
bar.addAction(wa)
bar.addSeparator()
bar.addAction(self.actionFitArby)
self.bar = bar
self.actionFitLinear.trigger()
return [self.bar]
def loadSettings(self, settings):
self.splitterstate = settings.value('splitter', '', QByteArray)
self.presetdict = {}
# read new format if present
settings.beginGroup('presets_new')
for key in settings.childKeys():
self.presetdict[key] = json.loads(settings.value(key))
settings.endGroup()
# convert old format
try:
presetval = settings.value('presets')
if presetval:
for (name, value) in presetval.items():
if not isinstance(value, bytes):
value = value.encode('latin1')
self.presetdict[name] = pickle.loads(value)
except Exception:
pass
settings.remove('presets')
self.last_views = []
settings.beginGroup('views_new')
for key in settings.childKeys():
try:
info = json.loads(settings.value(key))
self.last_views.append((key, info))
except Exception:
pass
settings.endGroup()
def saveSettings(self, settings):
settings.setValue('splitter', self.splitter.saveState())
settings.beginGroup('presets_new')
for (key, info) in self.presetdict.items():
settings.setValue(key, json.dumps(info))
settings.endGroup()
settings.beginGroup('views_new')
for view in self.views:
settings.setValue(view.name, json.dumps(view.dlginfo))
settings.endGroup()
def openViews(self, views):
"""Open some views given by the specs in *views*, a list of strings.
Each string can be a comma-separated list of key names, and an optional
simple time spec (like "1h") separated by a colon.
If a view spec matches the name of a preset, it is used instead.
"""
for viewspec in views:
timespec = '1h'
if ':' in viewspec:
viewspec, timespec = viewspec.rsplit(':', 1)
info = dict(
name=viewspec,
devices=viewspec,
simpleTime=True,
simpleTimeSpec=timespec,
slidingWindow=True,
frombox=False,
tobox=False,
fromdate=0,
todate=0,
interval='',
customY=False,
customYFrom='',
customYTo='',
)
self._createViewFromDialog(info)
def _refresh_presets(self):
pmenu = self.presetmenu
pmenu.clear()
delmenu = QMenu('Delete', self)
try:
for preset, info in iteritems(self.presetdict):
paction = QAction(preset, self)
pdelaction = QAction(preset, self)
info = info.copy()
def launchpreset(on, info=info):
self._createViewFromDialog(info)
def delpreset(on, name=preset, act=paction, delact=pdelaction):
pmenu.removeAction(act)
delmenu.removeAction(delact)
self.presetdict.pop(name, None)
self._refresh_presets()
paction.triggered[bool].connect(launchpreset)
pmenu.addAction(paction)
pdelaction.triggered[bool].connect(delpreset)
delmenu.addAction(pdelaction)
except AttributeError:
self.presetdict = {}
if self.presetdict:
pmenu.addSeparator()
pmenu.addMenu(delmenu)
else:
pmenu.addAction('(no presets created)')
def _add_preset(self, name, info):
if name:
self.presetdict[name] = info.copy()
self._refresh_presets()
def _autoscale(self, x=None, y=None):
xflag = x if x is not None else self.actionScaleX.isChecked()
yflag = y if y is not None else self.actionScaleY.isChecked()
if self.currentPlot:
self.currentPlot.setAutoScaleFlags(xflag, yflag)
self.actionAutoScale.setChecked(xflag or yflag)
self.actionScaleX.setChecked(xflag)
self.actionScaleY.setChecked(yflag)
self.currentPlot.update()
def enablePlotActions(self, on):
for action in [
self.actionSavePlot,
self.actionPrint,
self.actionAttachElog,
self.actionSaveData,
self.actionAutoScale,
self.actionScaleX,
self.actionScaleY,
self.actionEditView,
self.actionCloseView,
self.actionDeleteView,
self.actionResetView,
self.actionUnzoom,
self.actionLogScale,
self.actionLegend,
self.actionSymbols,
self.actionLines,
self.actionFitPeak,
self.actionFitArby,
]:
action.setEnabled(on)
def enableAutoScaleActions(self, on):
for action in [
self.actionAutoScale, self.actionScaleX, self.actionScaleY
]:
action.setEnabled(on)
def on__fitComboBox_currentIndexChanged(self, index):
self.fitfuncmap[self.fitComboBox.currentText()].trigger()
def on__viewList_currentItemChanged(self, item, previous):
if item is None:
return
for view in self.views:
if view.listitem == item:
self.openView(view)
def on__viewList_itemClicked(self, item):
# this handler is needed in addition to currentItemChanged
# since one can't change the current item if it's the only one
self.on__viewList_currentItemChanged(item, None)
# is it a "saved from last time" item?
info = item.data(Qt.UserRole)
if info is not None:
row = self.viewList.row(item)
do_restore = self.askQuestion('Restore this view from last time?')
self.viewList.takeItem(row)
if do_restore:
self._createViewFromDialog(info, row)
def on_logYinDomain(self, flag):
if not flag:
self.actionLogScale.setChecked(flag)
def newvalue_callback(self, data):
(vtime, key, op, value) = data
if key not in self.keyviews:
return
if not value:
return
value = cache_load(value)
for view in self.keyviews[key]:
view.newValue(vtime, key, op, value)
def _createViewFromDialog(self, info, row=None):
if not info['devices'].strip():
return
keys_indices = [
extractKeyAndIndex(d.strip()) for d in info['devices'].split(',')
]
if self.client is not None:
meta = self._getMetainfo(keys_indices)
else:
meta = ({}, {})
name = info['name']
if not name:
name = info['devices']
if info['simpleTime']:
name += ' (%s)' % info['simpleTimeSpec']
window = None
if info['simpleTime']:
try:
itime, _ = get_time_and_interval(info['simpleTimeSpec'])
except ValueError:
return
fromtime = currenttime() - itime
totime = None
if info['slidingWindow']:
window = itime
else:
if info['frombox']:
fromtime = mktime(localtime(info['fromdate']))
else:
fromtime = None
if info['tobox']:
totime = mktime(localtime(info['todate']))
else:
totime = None
try:
interval = float(info['interval'])
except ValueError:
interval = 5.0
if info['customY']:
try:
yfrom = float(info['customYFrom'])
except ValueError:
return
try:
yto = float(info['customYTo'])
except ValueError:
return
else:
yfrom = yto = None
view = View(self, name, keys_indices, interval, fromtime, totime,
yfrom, yto, window, meta, info, self.gethistory_callback)
self.views.append(view)
view.listitem = QListWidgetItem(view.name)
if row is not None:
self.viewList.insertItem(row, view.listitem)
else:
self.viewList.addItem(view.listitem)
self.openView(view)
if view.totime is None:
for key in view.uniq_keys:
self.keyviews.setdefault(key, []).append(view)
return view
def _getMetainfo(self, keys_indices):
"""Collect unit and string<->integer mapping for each key that
refers to a device main value.
"""
units = {}
mappings = {}
seen = set()
for key, _, _, _ in keys_indices:
if key in seen or not key.endswith('/value'):
continue
seen.add(key)
devname = key[:-6]
devunit = self.client.getDeviceParam(devname, 'unit')
if devunit:
units[key] = devunit
devmapping = self.client.getDeviceParam(devname, 'mapping')
if devmapping:
mappings[key] = m = {}
i = 0
for k, v in sorted(devmapping.items()):
if isinstance(v, integer_types):
m[k] = v
else:
m[k] = i
i += 1
return units, mappings
def on__actionNew_triggered(self):
self.showNewDialog()
def showNewDialog(self, devices=''):
newdlg = NewViewDialog(self, client=self.client)
newdlg.devices.setText(devices)
ret = newdlg.exec_()
if ret != QDialog.Accepted:
return
info = newdlg.infoDict()
self._createViewFromDialog(info)
if newdlg.savePreset.isChecked():
self._add_preset(info['name'], info)
def newView(self, devices):
newdlg = NewViewDialog(self)
newdlg.devices.setText(devices)
info = newdlg.infoDict()
self._createViewFromDialog(info)
def openView(self, view):
if not view.plot:
view.plot = ViewPlot(self.plotFrame, self, view)
self.viewList.setCurrentItem(view.listitem)
self.setCurrentView(view)
def setCurrentView(self, view):
newView = False
if self.currentPlot:
self.plotLayout.removeWidget(self.currentPlot)
self.currentPlot.hide()
if view is None:
self.currentPlot = None
self.enablePlotActions(False)
else:
self.currentPlot = view.plot
try:
self.viewStack.remove(view)
except ValueError:
newView = True
self.viewStack.append(view)
self.enablePlotActions(True)
self.enableAutoScaleActions(view.plot.HAS_AUTOSCALE)
self.viewList.setCurrentItem(view.listitem)
self.actionLogScale.setChecked(view.plot.isLogScaling())
self.actionLegend.setChecked(view.plot.isLegendEnabled())
self.actionSymbols.setChecked(view.plot.hasSymbols)
self.actionLines.setChecked(view.plot.hasLines)
self.plotLayout.addWidget(view.plot)
if view.plot.HAS_AUTOSCALE:
from gr.pygr import PlotAxes
if newView:
mask = PlotAxes.SCALE_X | PlotAxes.SCALE_Y
else:
mask = view.plot.plot.autoscale
if view.yfrom and view.yto:
mask &= ~PlotAxes.SCALE_Y
self._autoscale(x=mask & PlotAxes.SCALE_X,
y=mask & PlotAxes.SCALE_Y)
view.plot.logYinDomain.connect(self.on_logYinDomain)
view.plot.setSlidingWindow(view.window)
view.plot.show()
def on__viewList_itemDoubleClicked(self, item):
if item:
self.on__actionEditView_triggered()
def on__actionEditView_triggered(self):
view = self.viewStack[-1]
newdlg = NewViewDialog(self, view.dlginfo, client=self.client)
newdlg.setWindowTitle('Edit history view')
ret = newdlg.exec_()
if ret != QDialog.Accepted:
return
info = newdlg.infoDict()
if newdlg.savePreset.isChecked():
self._add_preset(info['name'], info)
self.viewStack.pop()
row = self.clearView(view)
new_view = self._createViewFromDialog(info, row)
if new_view.plot.HAS_AUTOSCALE:
self._autoscale(True, False)
def on__actionCloseView_triggered(self):
view = self.viewStack.pop()
if self.viewStack:
self.setCurrentView(self.viewStack[-1])
else:
self.setCurrentView(None)
view.plot = None
def on__actionResetView_triggered(self):
view = self.viewStack.pop()
hassym = view.plot.hasSymbols
view.plot = None
self.openView(view)
self.actionSymbols.setChecked(hassym)
view.plot.setSymbols(hassym)
def on__actionDeleteView_triggered(self):
view = self.viewStack.pop()
self.clearView(view)
if self.viewStack:
self.setCurrentView(self.viewStack[-1])
else:
self.setCurrentView(None)
def clearView(self, view):
self.views.remove(view)
row = self.viewList.row(view.listitem)
self.viewList.takeItem(row)
if view.totime is None:
for key in view.uniq_keys:
self.keyviews[key].remove(view)
view.cleanup()
return row
def on__actionSavePlot_triggered(self):
filename = self.currentPlot.savePlot()
if filename:
self.statusBar.showMessage('View successfully saved to %s.' %
filename)
def on__actionPrint_triggered(self):
if self.currentPlot.printPlot():
self.statusBar.showMessage('View successfully printed.')
def on__actionUnzoom_triggered(self):
self.currentPlot.unzoom()
def on__actionLogScale_toggled(self, on):
self.currentPlot.setLogScale(on)
def on__actionAutoScale_toggled(self, on):
self._autoscale(on, on)
def on__actionScaleX_toggled(self, on):
self._autoscale(x=on)
def on__actionScaleY_toggled(self, on):
self._autoscale(y=on)
def on__actionLegend_toggled(self, on):
self.currentPlot.setLegend(on)
def on__actionSymbols_toggled(self, on):
self.currentPlot.setSymbols(on)
def on__actionLines_toggled(self, on):
self.currentPlot.setLines(on)
def on__actionSaveData_triggered(self):
self.currentPlot.saveData()
def on__actionFitPeak_triggered(self):
self.currentPlot.beginFit(self.fitclass, self.actionFitPeak,
self.fitPickCheckbox.isChecked())
def on__actionFitLinear_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitLinear.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = LinearFitter
def on__actionFitExponential_triggered(self):
cbi = self.fitComboBox.findText(
self.actionFitExponential.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = ExponentialFitter
def on__actionFitPeakGaussian_triggered(self):
cbi = self.fitComboBox.findText(
self.actionFitPeakGaussian.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = GaussFitter
def on__actionFitPeakLorentzian_triggered(self):
cbi = self.fitComboBox.findText(
self.actionFitPeakLorentzian.text().replace('&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = LorentzFitter
def on__actionFitPeakPV_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakPV.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = PseudoVoigtFitter
def on__actionFitPeakPVII_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitPeakPVII.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = PearsonVIIFitter
def on__actionFitTc_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitTc.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = TcFitter
def on__actionFitCosine_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitCosine.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = CosineFitter
def on__actionFitSigmoid_triggered(self):
cbi = self.fitComboBox.findText(self.actionFitSigmoid.text().replace(
'&', ''))
self.fitComboBox.setCurrentIndex(cbi)
self.fitclass = SigmoidFitter
def on__actionFitArby_triggered(self):
# no second argument: the "arbitrary" action is not checkable
self.currentPlot.beginFit(ArbitraryFitter, None,
self.fitPickCheckbox.isChecked())