''' Created on 21 Dec 2019 @author: wvx67826 ''' from Tools import Tools import matplotlib.pyplot as plt import numpy as np from matplotlib import ticker Rd = Tools.ReadWriteData() Reduct = Tools.Output() Reduct.add_clipboard_to_figures() def read1DCCD(filename, masterStopKey): Rd.read_file(filename, metaStopKey = masterStopKey) return Rd.get_data() lPiexel = np.array([]) lCounts = np.array([]) lEnergy = np.array([]) lPicked = np.array([]) scanNo = 6386 date = 20 picked = 0 #marcroFilename = "C:\\Users\\wvx67826\\Desktop\\beam8 data\\MapNight2.txt" energyCalFilename = "C:\\Users\\wvx67826\\Desktop\\beam8 data\\energycalibration_Ru.dat" backgroundFilename = "C:\\Users\\wvx67826\\Desktop\\beam8 data\\backgound_Flux.dat" folderName = "C:\\Users\\wvx67826\\Desktop\\beam8 data\\2019 12 %s\\" %date metaFilename = folderName +"CCD Scan %i\\C_%i-AI.txt" %(scanNo,scanNo) Rd.read_file(metaFilename, metaStopKey = str(scanNo))
''' Created on 13 Sep 2019 @author: wvx67826 ''' from Tools import Tools from Tools.DataReduction.Reduction import Reduction import matplotlib.pyplot as plt from numpy import hstack, vstack Rd = Reduction() Dp = Tools.Output() folder = "Z:/2019/cm22968-4/i10-" lMeta = ["/ls340/Channel0Temp", "/sx/sx", "/pgm_energy/pgm_energy"] lData = ["/rdeta/rdet", "/rdeta/rfluo", "/rdeta/rmirror"] plotList = [ "/rdeta/rdet corrected", "xmcd /rdeta/rdet corrected", "xmcd ratio /rdeta/rdet corrected" ] #plotList = None scanNo = 562116 lScanNo = [scanNo, scanNo + 1] cutoffs = [1, 10, "REF", 0] outPutFolder = "C:\All my tools\java-mars\pyworkspace\Experiments\Experiment\\Fe2o3\\data\\" plt.figure() for i, scanNo in enumerate(lScanNo): if i == 0: lCpDataName, lCpData, lCpMetaName, lCpMeta = Rd.get_ref(