class workfile(Analysis.AnalyseFile,SP.PlotFile):
"""A class that combines AnalyseFile and PlotFile together"""
pass
def func(x):
return numpy.mean(x)
def quad(x,a,b,c,d):
return (a*x**4)+(b*x**2)+(c*x)+d
Seperation = {1:'325 nm',2:'425 nm',3:'525 nm',4:'625 nm', 5:'725 nm', 6:'925 nm',7:'1125 nm', 8:'1325 nm', 9:'1525 nm',}
### Read in Data ###
pattern = '*DeltaRsvsT.txt'
folder = DataFolder('/Volumes/stonerlab.leeds.ac.uk - -storage/data/Projects/Spincurrents/Joe Batley/Measurements/SC004/Transport/DeltaRvsT',pattern = pattern,type=workfile)
folder.sort('Sample ID')
plot = [2,4,6,7]
for Rs in folder:
if int(Rs['Sample ID'].split('_')[1]) in plot:
print Rs.column_headers
Rs.template=SPF.JTBPlotStyle
Rs.figure(1) # Creating new figures like this means we don;t reuse windows from run to run
f=plt.gcf()
f.set_size_inches((5.5,3.75),forward=True) # Set for A4 - will make wrapper for this someday
#Rs.title = ''
label = Seperation[int(Rs['Sample ID'].split('_')[1])]
Rs.plot_xy("T","Voff",label =label ,linestyle='',marker='o',linewidth=2,markersize=5)
#Rs.ylabel = r"$\Delta R_s$ (mV/A)"
Rs.ylabel=r"$\frac{R_{s}^P + R_{s}^{AP}}{2}\ $ (mV/A)"
Rs.xlabel=r"T (K)"
9:'1525 nm',}
Marker = {1:'325 nm',
2:'o',
3:'x',
4:'s',
5:'v',
6:'^',
7:'>',
8:'D',
9:'<',}
pattern = '*_DeltaRvsT.txt'
folder = DataFolder('/Volumes/data/Projects/Spincurrents/Joe Batley/Measurements/SC004/Transport/DeltaR_vs_Sep/Plot',pattern = pattern)
folder.sort()
for f in folder:
f=Analysis.AnalyseFile(f)
print f.column_headers
f.rename('DeltaR err','Error')
f.rename('Sample Temp','Temperature (K)')
f.mulitply('DeltaR',1e3,replace=True,header=r'$\Delta \alpha$ (mV/A)')
pattern = re.compile('_')
label = pattern.split(f['Sample ID'])
p=SP.PlotFile(f)
p.setas="y.x"
p.template=SPF.JTBPlotStyle
import Stoner.Plot as SP
def quad(x,a,b,c):
return (a*x**2)+(b*x)+c
folder = DataFolder('/Volumes/data/Projects/Spincurrents/Joe Batley/Measurements/SC004/Transport/SC004_2_T/NLIVvsHat5K', pattern = '*.txt')
############ Calculate Delta R with error ############
Rs = []
F = []
folder.sort('iterator')
for f in folder:
a = Analysis.AnalyseFile(f)
fit = a.curve_fit(quad,'Current','Voltage',p0=[20.0,1e-7,0.0], result=True, replace=False, header="fit",asrow=True)
Rs.append(fit[2])
F.append(a['Magnet Output']*1e-12)
Mean = (max(Rs)+min(Rs))/2
offset = (max(Rs)+min(Rs))/2
RS = Analysis.AnalyseFile()
RS.add_column(F,r'$\mu_o$H (mT)')
RS.add_column(Rs,'R$_s$ (V/A)')
RS.subtract('R$_s$ (V/A)',offset,replace=True,header=r'$\alpha$ (V/A)')
RS.mulitply(r'$\alpha$ (V/A)',1e3,replace=True,header=r'$\alpha$ (mV/A)')
