def meanarray(y_axis): mean = [] meanval = findMean(y_axis) for y in y_axis: mean.append(float(meanval)) return mean
series = y_axis maxtab, mintab = peakdet(series,0.1) basel = findMean(series) x_axis = asarray(x_axis) y_axis = asarray(y_axis) mean = [] cut = [] cutx = [] cuty=[] for y in y_axis: mean.append(float(basel)) highcut = basel + ((variance-basel)/15) lowcut = basel - ((variance-basel)/15) for a in range (0,len(two)): if two[a][1] > lowcut and two[a][1] < highcut: cut.append(two[a]) for m in range (0, len(cut)): cutx.append(cut[m][0]) cuty.append(cut[m][1]) base = peakutils.baseline(y_axis, 2) cutbase = peakutils.baseline(asarray(cuty), 2)