def automatic_fill(self):
log.debug("event from %s", self.sender())
if len(self.mass_list) == 0:
return
# if self.ana.pip.signal is None:
# return
x = self.ana.pip.mass
y = self.ana.pip.spectrum
self.acc_event()
p = Peaks()
dict_peak = p.masstab_peaks(x, y, self.mass_list, self.acc)
text = str(self.short_name).ljust(21)
for mass in self.mass_list:
text = text + "{:.3f}".format(float(dict_peak[mass])).ljust(8)
self.ui.plainTextEdit_Viewer.appendPlainText(text)
def automatic_fill(self):
log.debug("event from %s", self.sender())
if len(self.mass_list) == 0:
return
# if self.ana.pip.signal is None:
# return
x = self.ana.pip.mass
y = self.ana.pip.spectrum
self.acc_event()
p = Peaks()
dict_m, dict_i = p.masstab_peaks(x, y, self.mass_list, self.acc)
text = str(self.short_name).ljust(24)
for mass in self.mass_list:
text = text + \
"{:.4f}".format(float(dict_m[mass])).ljust(9) + \
"{:.3f}".format(float(dict_i[mass])).ljust(9)
self.ui.plainTextEdit_Viewer.appendPlainText(text)
# Put your own settings here: start signal, end signal and Hanning
start = pip.start
start = 10000
end = pip.end
end = 1010000
hann = False
pip.process_signal(start, end, hann, False, False, False)
pip.process_spectrum(factor=1000.0, ref_mass=300.0939, cyclo_freq=255.692e3,
mag_freq=0.001e3)
x = np.asarray(pip.mass)
y = np.asarray(pip.spectrum)
# Peak search
p = Peaks()
dict_m, dict_i = p.masstab_peaks(x, y, mass_list, acc)
short_name = os.path.basename(filename)
text = text + "\n" + str(short_name).ljust(24)
for mass in mass_list:
text = text + \
"{:.4f}".format(float(dict_m[mass])).ljust(9) + \
"{:.3f}".format(float(dict_i[mass])).ljust(9)
# Write result into file: this is the same masstab.txt file as within sofa
with open(out_filename, mode='w', encoding='utf_8') as file:
file.write(text)
# debug
print(text)
else:
