def __init__(self, parent=None):
"""
Constructor
"""
super(PlotsGUI, self).__init__(parent)
self.ui = Ui_TabWidget_Plots()
self.ui.setupUi(self)
def __init__(self, parent=None):
"""
Constructor
"""
super(PlotsGUI, self).__init__(parent)
self.ui = Ui_TabWidget_Plots()
self.ui.setupUi(self)
class PlotsGUI(QTabWidget):
"""
classdocs
"""
def __init__(self, parent=None):
"""
Constructor
"""
super(PlotsGUI, self).__init__(parent)
self.ui = Ui_TabWidget_Plots()
self.ui.setupUi(self)
def setup(self, analysis):
self.ana = analysis
self.__connect_events()
self.__setup_plots()
def __setup_plots(self):
# Signal
self.mpl_sig = MatplotlibWidget(title='Signal',
xlabel='n/a',
ylabel='n/a',
dpi=70)
self.mpl_sig.setObjectName("matplotlibwidget_Signal")
self.ui.verticalLayout.addWidget(self.mpl_sig)
navigation = NavigationToolbar(self.mpl_sig, self)
self.ui.verticalLayout.addWidget(navigation)
# Frequency spectrum
self.mpl_spec = MatplotlibWidget(title='Spectrum',
xlabel='n/a',
ylabel='n/a',
dpi=70)
self.mpl_spec.setObjectName("matplotlibwidget_Spectrum")
self.ui.verticalLayout_2.addWidget(self.mpl_spec)
navigation = NavigationToolbar(self.mpl_spec, self)
self.ui.verticalLayout_2.addWidget(navigation)
# Mass spectrum
self.mpl_mass = MatplotlibWidget(title='Mass',
xlabel='n/a',
ylabel='n/a',
dpi=70)
self.mpl_mass.setObjectName("matplotlibwidget_Mass")
self.ui.verticalLayout_3.addWidget(self.mpl_mass)
navigation = NavigationToolbar(self.mpl_mass, self)
self.ui.verticalLayout_3.addWidget(navigation)
# Mass spectrum
self.mpl_peaks = MatplotlibWidget(title='Peaks',
xlabel='n/a',
ylabel='n/a',
dpi=70)
self.mpl_peaks.setObjectName("matplotlibwidget_Peaks")
self.ui.verticalLayout_4.addWidget(self.mpl_peaks)
navigation = NavigationToolbar(self.mpl_peaks, self)
self.ui.verticalLayout_4.addWidget(navigation)
# default tab = signal
self.setCurrentIndex(0)
def __connect_events(self):
self.ana.plotSigRaisedSignal.connect(self.update_signal)
self.ana.plotSpecRaisedSignal.connect(self.update_spectrum)
self.ana.plotMassRaisedSignal.connect(self.update_mass)
self.ana.plotPeaksRaisedSignal.connect(self.update_peaks)
self.currentChanged.connect(self.change_tab)
def change_tab(self):
if self.currentIndex() == 3:
self.ana.ui.pushButton_SaveToAscii.setVisible(True)
self.ana.ui.pushButton_ChangeAsciiDir.setVisible(True)
else:
self.ana.ui.pushButton_SaveToAscii.setVisible(False)
self.ana.ui.pushButton_ChangeAsciiDir.setVisible(False)
def update_signal(self, shortname, y, step, start, end):
title = shortname + " - signal - " + \
"(" + str(start) + ", " + str(end) + ")"
x = np.arange(len(y)) * step * 1e3 # in ms
self.mpl_sig.plot_data(x, y, title, "time (ms)", "a.u.")
def update_spectrum(self, shortname, y, freq):
title = shortname + " - frequency spectrum"
x = freq / 1e3 # in kHz
self.mpl_spec.plot_data(x, y, title, "Freq. (kHz)", "a.u.")
def update_mass(self, shortname, y, mass, ref, cyclo, mag, hold):
title = shortname + " - mass spectrum - " + \
"(" + str(ref) + ", " + str(cyclo) + ", " + str(mag) + ")"
x = mass
self.mpl_mass.plot_mass(x, y, title, "Mass (u)", "a.u.", hold)
def update_peaks(self, shortname, y, mass, ind, mph, mpd, x1, x2):
title = shortname + " - mass spectrum - " + \
"(mph=" + str(mph) + ", mpd=" + str(mpd) + ")"
x = mass
self.mpl_peaks.plot_peaks(x, y, ind, title, "Mass (u)", "a.u.", x1, x2)
class PlotsGUI(QTabWidget):
"""
classdocs
"""
def __init__(self, parent=None):
"""
Constructor
"""
super(PlotsGUI, self).__init__(parent)
self.ui = Ui_TabWidget_Plots()
self.ui.setupUi(self)
def setup(self, analysis):
self.ana = analysis
self.__connect_events()
self.__setup_plots()
def __setup_plots(self):
# Time spectrum
self.mpl_time = MatplotlibWidget(
title='Time', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_time.setObjectName("matplotlibwidget_Time")
self.ui.verticalLayout_1.addWidget(self.mpl_time)
navigation = NavigationToolbar(self.mpl_time, self)
self.ui.verticalLayout_1.addWidget(navigation)
# Mass spectrum
self.mpl_mass = MatplotlibWidget(
title='Mass', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_mass.setObjectName("matplotlibwidget_Mass")
self.ui.verticalLayout_2.addWidget(self.mpl_mass)
navigation = NavigationToolbar(self.mpl_mass, self)
self.ui.verticalLayout_2.addWidget(navigation)
# Peaks
self.mpl_peaks = MatplotlibWidget(
title='Peaks', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_peaks.setObjectName("matplotlibwidget_Peaks")
self.ui.verticalLayout_3.addWidget(self.mpl_peaks)
navigation = NavigationToolbar(self.mpl_peaks, self)
self.ui.verticalLayout_3.addWidget(navigation)
# Calib
self.mpl_calib = MatplotlibWidget(
title='Calibration', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_calib.setObjectName("matplotlibwidget_Calib")
self.ui.verticalLayout_4.addWidget(self.mpl_calib)
navigation = NavigationToolbar(self.mpl_calib, self)
self.ui.verticalLayout_4.addWidget(navigation)
# default tab = signal
self.setCurrentIndex(0)
def __connect_events(self):
self.ana.plotTimeRaisedSignal.connect(self.update_time)
self.ana.plotMassRaisedSignal.connect(self.update_mass)
self.ana.plotPeaksRaisedSignal.connect(self.update_peaks)
self.ana.plotCalibRaisedSignal.connect(self.update_calib)
self.ana.plotClearRaisedSignal.connect(self.clear_plots)
def update_time(self, shortname, x, y):
log.debug("event from %s", self.sender())
title = shortname + " - time spectrum"
self.mpl_time.plot_data(x, y, title, "Time (ns)", "Intensity (a.u.)")
def update_mass(self, shortname, mass, y, hold):
log.debug("event from %s", self.sender())
title = shortname + " - mass spectrum"
x = mass
self.mpl_mass.plot_mass(x, y, title, "m/z", "Intensity (a.u.)", hold)
def update_peaks(self, shortname, mass, y, xind, yind, mph, mpd, x1, x2):
log.debug("event from %s", self.sender())
title = shortname + " - mass spectrum - " + \
"(mph=" + str(mph) + ", mpd=" + str(mpd) + ")"
x = mass
self.mpl_peaks.plot_peaks(
x, y, xind, yind, title, "m/z", "Intensity (a.u.)", x1, x2)
def update_calib(self, shortname, mass_list, time_list, calib_mass, time):
log.debug("event from %s", self.sender())
title = shortname + "Calibration curve"
self.mpl_calib.plot_calib(mass_list, time_list, calib_mass, time, title, "m/z", "Time (ns)")
def clear_plots(self, mass, peaks, calib):
if mass:
self.mpl_mass.hide()
else:
self.mpl_mass.show()
if peaks:
self.mpl_peaks.hide()
else:
self.mpl_peaks.show()
if calib:
self.mpl_calib.hide()
else:
self.mpl_calib.show()
class PlotsGUI(QTabWidget):
"""
classdocs
"""
def __init__(self, parent=None):
"""
Constructor
"""
super(PlotsGUI, self).__init__(parent)
self.ui = Ui_TabWidget_Plots()
self.ui.setupUi(self)
def setup(self, analysis):
self.ana = analysis
self.__connect_events()
self.__setup_plots()
def __setup_plots(self):
# Signal
self.mpl_sig = MatplotlibWidget(
title='Signal', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_sig.setObjectName("matplotlibwidget_Signal")
self.ui.verticalLayout.addWidget(self.mpl_sig)
navigation = NavigationToolbar(self.mpl_sig, self)
self.ui.verticalLayout.addWidget(navigation)
# Frequency spectrum
self.mpl_spec = MatplotlibWidget(
title='Spectrum', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_spec.setObjectName("matplotlibwidget_Spectrum")
self.ui.verticalLayout_2.addWidget(self.mpl_spec)
navigation = NavigationToolbar(self.mpl_spec, self)
self.ui.verticalLayout_2.addWidget(navigation)
# Mass spectrum
self.mpl_mass = MatplotlibWidget(
title='Mass', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_mass.setObjectName("matplotlibwidget_Mass")
self.ui.verticalLayout_3.addWidget(self.mpl_mass)
navigation = NavigationToolbar(self.mpl_mass, self)
self.ui.verticalLayout_3.addWidget(navigation)
# Mass spectrum
self.mpl_peaks = MatplotlibWidget(
title='Peaks', xlabel='n/a', ylabel='n/a', dpi=70)
self.mpl_peaks.setObjectName("matplotlibwidget_Peaks")
self.ui.verticalLayout_4.addWidget(self.mpl_peaks)
navigation = NavigationToolbar(self.mpl_peaks, self)
self.ui.verticalLayout_4.addWidget(navigation)
# default tab = signal
self.setCurrentIndex(0)
def __connect_events(self):
self.ana.plotSigRaisedSignal.connect(self.update_signal)
self.ana.plotSpecRaisedSignal.connect(self.update_spectrum)
self.ana.plotMassRaisedSignal.connect(self.update_mass)
self.ana.plotPeaksRaisedSignal.connect(self.update_peaks)
def update_signal(self, shortname, y, step, start, end):
title = shortname + " - signal - " + \
"(" + str(start) + ", " + str(end) + ")"
x = np.arange(len(y)) * step * 1e3 # in ms
self.mpl_sig.plot_data(x, y, title, "time (ms)", "a.u.")
def update_spectrum(self, shortname, y, freq):
title = shortname + " - frequency spectrum"
x = freq / 1e3 # in kHz
self.mpl_spec.plot_data(x, y, title, "Freq. (kHz)", "a.u.")
def update_mass(self, shortname, y, mass, ref, cyclo, mag, hold):
title = shortname + " - mass spectrum - " + \
"(" + str(ref) + ", " + str(cyclo) + ", " + str(mag) + ")"
x = mass
self.mpl_mass.plot_mass(x, y, title, "Mass (u)", "a.u.", hold)
def update_peaks(self, shortname, y, mass, ind, mph, mpd, x1, x2):
title = shortname + " - mass spectrum - " + \
"(mph=" + str(mph) + ", mpd=" + str(mpd) + ")"
x = mass
self.mpl_peaks.plot_peaks(
x, y, ind, title, "Mass (u)", "a.u.", x1, x2)
