def do_fft(self):
if self.trace == None: return
transform = []
for xy in self.trace:
fr,tr = eyemath.fft(xy[1], self.delay * self.NC * 0.001)
transform.append([fr,tr])
p.grace(transform, _('freq'), _('power'))
def do_fft():
global data, delay, NP
if data == []: return
fr, tr = eyemath.fft(data[0][1], delay * 0.001)
p.save([[fr, tr]], 'FFT.dat')
p.grace([[fr, tr]], _('freq'), _('power'))
msgwin.config(text=_('Fourier transform Saved to FFT.dat.'))
def do_fft():
global data, delay, NP
if data == [ [], [] ]: return
fr,tr = eyemath.fft(data[1], delay * 0.001)
p.save([ [fr,tr] ], 'FFT.dat')
p.grace([ [fr,tr] ], _('freq'), _('power'))
msgwin.config(text = _('Fourier transform Saved to FFT.dat.'))
def measure(self):
"""
This is a custom method to connect to the
button for measurements.
There is no need for another custom method,
since the method "close" is already inherited
from the ancestor class.
"""
sample=int(self.ui.samplesEdit.text())
delay=int(self.ui.delayEdit.text())
channel=self.inputCode()
duration=int(sample*delay/1000) # in ms
self.ui.statusbar.showMessage(
"Measuring data for {} seconds, please be patient...".format(duration/1000),
duration
)
self.ui.statusbar.repaint() # immediately shows the status
t,v = self.p.capture(channel, sample, delay)
self.signal.setData(t,v,len(t))
# compute the FFT data and plot them
xa,ya = eyemath.fft(v,delay)
xa=1000*xa #(convert kHz to Hz)
self.fft.setData(xa, ya, len(xa))
# display the result
self.ui.signalPlot.replot()
self.ui.fftPlot.replot()
return
def do_fft():
global data, delay, NP
if data == []:
return
fr, tr = eyemath.fft(data[0][1], delay * 0.001)
p.save([[fr, tr]], "FFT.dat")
p.grace([[fr, tr]], _("freq"), _("power"))
msgwin.config(text=_("Fourier transform Saved to FFT.dat."))
def show_ftr(ch):
fa = eyemath.fit_sine(chan4[ch][TDATA],chan4[ch][VDATA]) # get frequency to decide suitable 'dt'
if fa != None:
fr = fa[1][1]*1000 # frequency in Hz
dt = int(1.e6/ (20 * fr)) # dt in usecs, 20 samples per cycle
t,v = p.capture(chan4[ch][CHSRC], 1800, dt)
xa,ya = eyemath.fft(v,dt)
eyeplot.plot(xa*1000,ya, title = _('Fourier Transform,power spectrum'), xl = _('Freq'), yl = _('Amp'))
msg(_('%s Fourier transform done, Data saved to "fft.dat"') %(channels[seltag]))
p.save([[xa,ya]],'fft.dat')
def do_fft(self):
global delay, NP, NC, EYEMATH
if EYEMATH == False:
showhelp(_('Could not find scipy package. Install it'),'red')
return
if self.trace == None: return
transform = []
for xy in self.trace:
fr,tr = eyemath.fft(xy[1], delay * NC * 0.001)
transform.append([fr,tr])
self.eye.save(transform, 'exploreFFT.dat')
self.eye.grace(transform, _('freq'), _('power'))
showhelp(_('Fourier transform Saved to exploreFFT.dat.'))
def show_ftr(ch):
fa = eyemath.fit_sine(chan4[ch][TDATA],chan4[ch][VDATA]) # get frequency to decide suitable 'dt'
if fa != None:
fr = fa[1][1]*1000 # frequency in Hz
dt = int(1.e6/ (20 * fr)) # dt in usecs, 20 samples per cycle
t,v = p.capture(chan4[ch][CHSRC], 1800, dt)
xa,ya = eyemath.fft(v,dt)
eyeplot.plot(xa*1000,ya,
title = _('Fourier Transform,power spectrum'),
xl = _('Freq'), yl = _('Amp'))
msg(_('%s Fourier transform done, Data saved to "fft.dat"')
% (channels[seltag]))
p.save([[xa,ya]],'fft.dat')
def do_fft(self):
global delay, NP, NC, EYEMATH
if EYEMATH == False:
showhelp('Could not find scipy package. Install it', 'red')
return
if self.trace == None: return
transform = []
for xy in self.trace:
fr, tr = eyemath.fft(xy[1], delay * NC * 0.001)
transform.append([fr, tr])
self.eye.save(transform, 'exploreFFT.dat')
self.eye.grace(transform, 'freq', 'power')
showhelp('Fourier transform Saved to exploreFFT.dat.')
def do_fft(self, filename='measureFFT.dat'):
"""
opens xmgrage with current data in a FFT plot
@param filename the name of the file
"""
if EYEMATH == False:
self.showhelp('Could not find scipy package. Install it', 'red')
return
if self.trace == None: return
transform = []
for xy in self.trace:
fr, tr = eyemath.fft(xy[1], self.delay * self.nc * 0.001)
transform.append([fr, tr])
self.eye.save(transform, filename)
self.eye.grace(transform, 'freq', 'power')
self.showhelp('Fourier transform Saved to %s' % filename)
def do_fft(self, filename="measureFFT.dat"):
"""
opens xmgrage with current data in a FFT plot
@param filename the name of the file
"""
if EYEMATH == False:
self.showhelp("Could not find scipy package. Install it", "red")
return
if self.trace == None:
return
transform = []
for xy in self.trace:
fr, tr = eyemath.fft(xy[1], self.delay * self.nc * 0.001)
transform.append([fr, tr])
self.eye.save(transform, filename)
self.eye.grace(transform, "freq", "power")
self.showhelp("Fourier transform Saved to %s" % filename)
