def today(): a = "/home/chris/Documents/DataWeiss/150518/" for i in range(1, 9): r = RamanSpectrum(a + "150517_0" + str(i) + ".txt") v = 10 ** 7 / array(r.index) - 10 ** 7 / 785 r = RamanSpectrum(pandas.Series(r.values, -1 * v)) r.to_csv(a + "150518_0" + str(i) + "b.txt") return 0
def June22(): """Nice spectra of CdOPA and dotsOPA""" d = RamanSpectrum('/home/chris/Dropbox/DataWeiss/150622/150622_06.txt') ### pH 1 a = RamanSpectrum('/home/chris/Dropbox/DataWeiss/150622/150622_07.txt') ### pH 5 b = RamanSpectrum('/home/chris/Dropbox/DataWeiss/150622/150622_08.txt') ### pH 12 c= RamanSpectrum('/home/chris/Dropbox/DataWeiss/150612/150612_01_CdSe.txt') ## dots d.autobaseline((283,1989),order = 3) d.autobaseline((284,408,577,701,826,1147,1380,1588,1849,1976),join='start',order = 9,specialoption='points') a.autobaseline((283,1989),order = 3) a.autobaseline((284,577,701,826,1147,1380,1588,1849,1976),join='start',order = 9,specialoption='points') b.autobaseline((283,1989),order = 3) b.autobaseline((284,577,701,826,1147,1380,1588,1849,1976),join='start',order = 9,specialoption='points') c= RamanSpectrum('/home/chris/Dropbox/DataWeiss/150612/150612_01_CdSe.txt') ## dots c.autobaseline((911,1196,1385,1515,1800),specialoption='points',order=7,join='start') c.autobaseline((280,600,690,826,861,911),specialoption='points', order = 5,join='end') c.autobaseline((281,630), order = 4, join = 'end') c.autobaseline((1492,1800), order = 5, join = 'start') c[:]*=3 c[:]+=5000 b[:]+=4000 a[:]+=1300 c.plot() b.plot() a.plot() d.plot() ylim(0,10000) xlim(400,1800) legend(['dots','CdOPA pH12', 'pH 5', 'pH1']) tosave = transpose([d.index,d.values,a.values,b.values]) savetxt('/home/chris/Desktop/emily/CdOPARaman.csv', tosave, header = 'pH1, pH5, pH12',delimiter = ',') c.to_csv('/home/chris/Desktop/emily/DotsOPARaman.csv') ylabel('Intensity (a.u.)') xlabel('Raman Shift (cm$^{-1}$)') # savefig('/home/chris/Dropbox/GroupmeetingJuly9_2015/dotsandrefs.png', dpi=256) return 0