def draw(self):
self.figure.clf() #clear the figure
self.FFTPlot = self.figure.add_subplot(111)
#if len(self.FFTPlot.lines)>0:
# for i in range(0,len(self.FFTPlot.lines)):
# del self.FFTPlot.lines[0]
#self.FFTPlot.cla()
#print len(self.FFTPlot.lines)
#smooth and window the data
self.DeltaFreqY = 1/self.delta_inv_x
#padd the data
pad_mult = 10
zero_matrixY = np.zeros(len(self.Y)*pad_mult/2)
self.pad_wind_dataY = np.append(self.Y, zero_matrixY)
# pad_wind_data = np.append(zero_matrix, pad_wind_data)
self.FreqY, self.FFT_SignalY = dHvA_Util.take_fft(self.pad_wind_dataY, 20, self.DeltaFreqY)
self.FFTPlot.plot(self.FreqY,self.FFT_SignalY,linewidth=2,color='blue',picker=10)
self.FFTPlot.set_xlabel('dHvA Frequency (T)')
self.FFTPlot.set_ylabel('Amplitude (a.u.)')
self.FFTPlot.set_title('FFT')
self.FFTPlot.grid(True)
self.FFTPlot.relim()
self.FFTPlot.set_xlim([0,10000])
#self.FFTPlot.set_ylim([0,0.5])
self.FFTPlot.autoscale(True,axis='y')
#add cursor to select points
self.cursor = Cursor(self.FFTPlot,color='black',linewidth=1)
def draw(self):
self.figure.clf() #clear the figure
self.FFTPlot = self.figure.add_subplot(111)
#if len(self.FFTPlot.lines)>0:
# for i in range(0,len(self.FFTPlot.lines)):
# del self.FFTPlot.lines[0]
#self.FFTPlot.cla()
#print len(self.FFTPlot.lines)
#smooth and window the data
self.DeltaFreqY = 1 / self.delta_inv_x
#padd the data
pad_mult = 10
zero_matrixY = np.zeros(len(self.Y) * pad_mult / 2)
self.pad_wind_dataY = np.append(self.Y, zero_matrixY)
# pad_wind_data = np.append(zero_matrix, pad_wind_data)
self.FreqY, self.FFT_SignalY = dHvA_Util.take_fft(
self.pad_wind_dataY, 20, self.DeltaFreqY)
self.FFTPlot.plot(self.FreqY,
self.FFT_SignalY,
linewidth=2,
color='blue',
picker=10)
self.FFTPlot.set_xlabel('dHvA Frequency (T)')
self.FFTPlot.set_ylabel('Amplitude (a.u.)')
self.FFTPlot.set_title('FFT')
self.FFTPlot.grid(True)
self.FFTPlot.relim()
self.FFTPlot.set_xlim([0, 10000])
#self.FFTPlot.set_ylim([0,0.5])
self.FFTPlot.autoscale(True, axis='y')
#add cursor to select points
self.cursor = Cursor(self.FFTPlot, color='black', linewidth=1)
def draw(self):
self.FFTPlot = self.figure.add_subplot(111)
if len(self.FFTPlot.lines)>0:
del self.FFTPlot.lines[0]
#smooth and window the data
self.DeltaFreqY = 1/self.delta_inv_x
#padd the data
pad_mult = 10
zero_matrixY = np.zeros(len(self.Y)*pad_mult/2)
self.pad_wind_dataY = np.append(self.Y, zero_matrixY)
# pad_wind_data = np.append(zero_matrix, pad_wind_data)
self.FreqY, self.FFT_SignalY = dHvA_Util.take_fft(self.pad_wind_dataY, 20, self.DeltaFreqY)
self.FFTPlot.plot(self.FreqY,self.FFT_SignalY,linewidth=2,color='blue')
self.FFTPlot.set_xlabel('dHvA Frequency (1/T)')
self.FFTPlot.set_ylabel('Amplitude (a.u.)')
self.FFTPlot.set_title('FFT')
self.FFTPlot.relim()
self.FFTPlot.autoscale(True)
