def fitExp(r11,maxlag=None):
if maxlag==None:
maxlag=len(r11)
xdata=np.arange(len(r11[:maxlag]))
ydata=np.array(r11[:maxlag])
try:
popt, pcov = tt.fit_exp_correlation(xdata,ydata)
T=popt
except RuntimeError:
print("Error - curve_fit failed")
T=0
return T
def fitExp(r11, maxlag=None):
if maxlag == None:
maxlag = len(r11)
xdata = np.arange(len(r11[:maxlag]))
ydata = np.array(r11[:maxlag])
try:
popt, pcov = tt.fit_exp_correlation(xdata, ydata)
T = popt
except RuntimeError:
print("Error - curve_fit failed")
T = 0
return T
def doAutoCorr(xkey,ykey,Tkey,Lkey=None,threshold=0.1):
xdata=self.data[xkey]
ydata=self.data[ykey]
if checkAutoCorr(xdata,ydata,threshold=threshold):
try:
popt, pcov = tt.fit_exp_correlation(xdata,ydata)
#self.data['Txx']=abs(popt[0])*np.sqrt(np.pi)*0.5*self.data['dt']
self.data[Tkey]=popt[0]*self.data['dt']
if Lkey:
self.data[Lkey]=self.data[Tkey]*self.Umean()
except RuntimeError:
print("Error - curve_fit failed")
self.data[Tkey]=0
if Lkey:
self.data[Lkey]=0
else:
self.data[Tkey]=0
if Lkey:
self.data[Lkey]=0
