def getPlotData(self, plottype, plotfilename, doubleaxis, converty,
converty2, normalized, desvest):
exdata = ExtractData(plottype, plotfilename, doubleaxis, desvest)
#xdata, ydata, xdata2, ydata2
plotdata = exdata.get_data()
#print("convert; ", converty, " ", converty2)
#TODO: smoothing data
if converty:
for i in range(len(plotdata[1])):
plotdata[1][i] = np.array(
plotdata[1][i]).astype(float) * float(converty)
if converty2:
for i in range(len(plotdata[3])):
plotdata[3][i] = np.array(
plotdata[3][i]).astype(float) * float(converty2)
if normalized == "Normalized by max":
for i in range(len(plotdata[1])):
maxvalue = max(plotdata[1][i])
for j in range(len(plotdata[1][i])):
plotdata[1][i][j] = plotdata[1][i][j] / maxvalue
elif normalized == "Normalized by first":
for i in range(len(plotdata[1])):
firstvalue = plotdata[1][i][0]
for j in range(len(plotdata[1][i])):
plotdata[1][i][j] = plotdata[1][i][j] / firstvalue
return plotdata
