'''
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(
