/
processActions.py
1178 lines (1070 loc) · 47.3 KB
/
processActions.py
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# -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 11:45:30 2015
@author: admin
"""
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph as pg
import readHdf5
import numpy as np
import scipy.fftpack
from scipy.signal import argrelextrema
from scipy.interpolate import interp1d,splrep,splev
import pickle
import traceback
class matchDialog(QtGui.QDialog):
def __init__(self,parent=None):
super(matchDialog,self).__init__(parent)
self.text1=QtGui.QLineEdit('5.00')
self.text2=QtGui.QLineEdit('11.70')
formbox=QtGui.QFormLayout()
layout=QtGui.QVBoxLayout(self)
formbox.addRow('ICRF Frequency (MHz) : ',self.text1)
formbox.addRow('Helicon Frequency (MHz) : ',self.text2)
frame1=QtGui.QFrame()
frame1.setLayout(formbox)
buttons = QtGui.QDialogButtonBox(QtGui.QDialogButtonBox.Ok | QtGui.QDialogButtonBox.Cancel,QtCore.Qt.Horizontal, self)
buttons.accepted.connect(self.accept)
buttons.rejected.connect(self.reject)
layout.addWidget(frame1)
layout.addWidget(buttons)
def getFreq(self):
freq1=float(self.text1.text())*1.e6
freq2=float(self.text2.text())*1.e6
return (freq1,freq2)
@staticmethod
def getData(parent=None):
dialog=matchDialog(parent)
result=dialog.exec_()
freq1,freq2=dialog.getFreq()
return (freq1,freq2,result==QtGui.QDialog.Accepted)
class plotSignal(QtGui.QMainWindow):
def __init__(self,filename,env,parent=None):
super(plotSignal,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename
self.setWindowTitle("Plotting signal")
self.resize(1000,600)
self.env=env
self.signalChoice=QtGui.QComboBox()
self.signals=readHdf5.getSignals(self.fileName[0],self.env)
self.signalChoice.addItems(self.signals)
self.signalChoice.activated['QString'].connect(self.plotSignal)
self.p1=pg.PlotWidget()
#self.p1.resize(500,300)
self.p2=pg.PlotWidget()
self.p3=pg.PlotWidget()
button2=QtGui.QPushButton('FFT')
button2.clicked.connect(self.calculatefft)
vbox=QtGui.QVBoxLayout()
vbox.addWidget(self.signalChoice)
vbox.addWidget(self.p1)
vbox.addWidget(self.p2)
vbox.addStretch(1)
vbox2=QtGui.QVBoxLayout()
vbox2.addStretch(1)
draw=QtGui.QFrame()
label1=QtGui.QLabel('Properties')
button3=QtGui.QPushButton('Match frequencies')
button3.clicked.connect(self.matchFreq)
button1=QtGui.QPushButton('calculate')
self.frqlabel=QtGui.QLabel('Sampling rate:')
button1.clicked.connect(self.calculate)
self.textResult=QtGui.QTextEdit()
self.textResult.setReadOnly(True)
self.attribut=QtGui.QLineEdit()
# self.save=QtGui.QPushButton('Save data')
# self.save.clicked.connect(self.saveData)
process=QtGui.QFrame()
vbox2.addWidget(self.frqlabel)
vbox2.addWidget(self.p3)
vbox2.addWidget(button3)
vbox2.addWidget(button2)
vbox2.addWidget(label1)
vbox2.addWidget(button1)
vbox2.addWidget(self.textResult)
vbox2.addWidget(self.attribut)
# vbox2.addWidget(self.save)
process.setLayout(vbox2)
draw.setLayout(vbox)
splitterH=QtGui.QSplitter(QtCore.Qt.Horizontal,self)
splitterH.addWidget(draw)
splitterH.addWidget(process)
self.setCentralWidget(splitterH)
try:
[self.left,self.right,saveName,self.signalName]=pickle.load( open( "User.dat", "rb" ) )
self.existingData=True
self.signalChoice.setCurrentIndex(self.signals.index(self.signalName))
self.plotSignal(self.signalName)
self.updatePlot()
self.attribut.setText(saveName)
except Exception,e:
print str(e)
self.existingData=False
if len(self.fileName)>1:
self.existingData=False
self.existingData=False
self.show()
def plotSignal(self,item):
indexColor=0
self.p1.clear()
self.p2.clear()
for fileName in self.fileName:
print fileName
self.Back=False
self.signalName=item
time,data,self.sampling=readHdf5.getData(fileName,item,self.env)
self.time=np.array(time)
self.data=np.array(data)
self.frqlabel.setText('sampling rate: '+str(self.sampling))
pencil=pg.mkPen(color=pg.intColor(indexColor))
self.p1.plot(self.time,self.data,pen=pencil)
self.p2.plot(self.time,self.data,pen=pencil)
indexColor=indexColor+1
if self.existingData:
self.lr=pg.LinearRegionItem([self.left,self.right])
else:
self.lr=pg.LinearRegionItem([self.time[0],self.time[-1]])
self.left=self.time[0]
self.right=self.time[-1]
self.lr.setZValue(-10)
self.p1.addItem(self.lr)
self.lr.sigRegionChanged.connect(self.updatePlot)
def updatePlot(self):
self.p2.setXRange(*self.lr.getRegion(),padding=0)
[self.left,self.right]=self.lr.getRegion()
def calculate(self):
self.results=dict()
#item=self.signalChoice.currentText()
for file in self.fileName:
for item in self.env.getSignals():
try:
print item
time,data,self.sampling=readHdf5.getData(file,item,self.env)
rang=self.p2.getPlotItem().getViewBox().viewRange()
rang2=rang[0]
average=np.mean(data[(time>=rang2[0]) & (time<=rang2[1])])
maxi=np.max(data[(time>=rang2[0]) & (time<=rang2[1])])
mini=np.min(data[(time>=rang2[0]) & (time<=rang2[1])])
# self.results[file]=[average,maxi,mini]
# self.textResult.append(file+':\n'+'Mean: '+str(average)+'\n'+'Max: '+str(maxi)+'\n'+'Min: '+str(mini)+'\n')
nameAttr=self.env.attr(item)+self.attribut.text()
readHdf5.saveAttr(file,nameAttr,np.array([average,maxi,mini]),self.env)
except:
pass
pickle.dump([self.left,self.right,self.attribut.text(),self.signalChoice.currentText()], open( "User.dat", "wb" ) )
def calculatefft(self):
indexColor=0
self.p3.clear()
self.p3.addLegend()
for fileName in self.fileName:
time,data,self.sampling=readHdf5.getData(fileName,self.signalName,self.env)
self.time=np.array(time)
self.data=np.array(data)
rang=self.p2.getPlotItem().getViewBox().viewRange()
rang2=rang[0]
# Number of samplepoints
dataslice=self.data[(self.time>=rang2[0]) & (self.time<=rang2[1])]
N=len(dataslice)
# sample spacing
T = 1.0 / self.sampling
yf = scipy.fftpack.fft(dataslice)
xf = np.linspace(0.0, 1.0/(2.0*T), N/2)
pencil=pg.mkPen(color=pg.intColor(indexColor))
self.p3.plot(xf, 2.0/N * np.abs(yf[0:N/2]),pen=pencil,name=fileName[0:-5])
indexColor=indexColor+1
self.p3.setLabel('left', "Spectral power (SI)")
self.p3.setLabel('bottom', "Frequency (Hz)")
def matchFreq(self):
freq1,freq2,ok=matchDialog.getData()
pencil1=pg.mkPen(color=pg.intColor(1))
pencil2=pg.mkPen(color=pg.intColor(20))
pencil3=pg.mkPen(color=pg.intColor(30))
for k in range(1,4):
self.p3.plot([k*freq1,k*freq1],[0,1.],pen=pencil1)
self.p3.plot([k*freq2,k*freq2],[0,1.],pen=pencil2)
for l in range(1,3):
self.p3.plot([k*freq2-l*freq1,k*freq2-l*freq1],[0,.5],pen=pencil3)
self.p3.plot([k*freq2+l*freq1,k*freq2+l*freq1],[0,.5],pen=pencil3)
self.p3.addItem(pg.PlotDataItem(pen=pencil1,name='ICRF'))
self.p3.addItem(pg.PlotDataItem(pen=pencil2,name='Helicon'))
self.p3.addItem(pg.PlotDataItem(pen=pencil3,name='Beat'))
class langmuirSingle(QtGui.QMainWindow):
def __init__(self,filename,env,parent=None):
super(langmuirSingle,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename[0]
self.setWindowTitle("Plotting signal")
self.resize(1000,600)
self.env=env
self.Back=False
self.signalChoice1=QtGui.QComboBox()
self.signalChoice2=QtGui.QComboBox()
self.signals=readHdf5.getSignals(self.fileName,self.env)
self.signalChoice1.addItems(self.signals)
self.signalChoice2.addItems(self.signals)
self.p1=pg.PlotWidget()
self.p2=pg.PlotWidget()
self.p3=pg.PlotWidget()
self.p4=pg.PlotWidget()
button1=QtGui.QPushButton('Select I and V signals')
button1.clicked.connect(self.chooseSignals)
button2=QtGui.QPushButton('Select window')
button2.clicked.connect(self.displayIV)
button3=QtGui.QPushButton('Select current correction')
button3.clicked.connect(self.currentCorrection)
button4=QtGui.QPushButton('Select temperature zone')
button4.clicked.connect(self.temperature)
self.textResult=QtGui.QTextEdit()
self.textResult.setReadOnly(True)
self.text1=QtGui.QLineEdit('100')
self.gas=QtGui.QComboBox()
self.gas.addItems(['Argon','Helium'])
self.tempChoice=QtGui.QCheckBox('Calculate temp')
self.temp=QtGui.QLineEdit()
formbox=QtGui.QFormLayout()
formbox.addRow('Probe rate : ',self.text1)
formbox.addRow('Type of gas : ',self.gas)
formbox.addRow('Use Temperature : ',self.tempChoice)
formbox.addRow('Temperature : ',self.temp)
form=QtGui.QFrame()
form.setLayout(formbox)
button5=QtGui.QPushButton('Save background')
button5.clicked.connect(self.saveBack)
self.saveL=QtGui.QLineEdit()
button6=QtGui.QPushButton('Save attribute')
button6.clicked.connect(self.saveAttr)
vbox2=QtGui.QVBoxLayout()
vbox2.addStretch(1)
vbox2.addWidget(form)
vbox2.addWidget(button5)
vbox2.addWidget(self.p3)
vbox2.addWidget(button3)
vbox2.addWidget(self.p4)
vbox2.addWidget(button4)
vbox2.addWidget(self.textResult)
vbox2.addWidget(self.saveL)
vbox2.addWidget(button6)
vbox1=QtGui.QVBoxLayout()
vbox1.addStretch(1)
vbox1.addWidget(self.signalChoice1)
vbox1.addWidget(self.signalChoice2)
vbox1.addWidget(button1)
vbox1.addWidget(self.p1)
vbox1.addWidget(self.p2)
vbox1.addWidget(button2)
dataWin=QtGui.QFrame()
dataWin.setLayout(vbox1)
processWin=QtGui.QFrame()
processWin.setLayout(vbox2)
splitterH=QtGui.QSplitter(QtCore.Qt.Horizontal,self)
splitterH.addWidget(dataWin)
splitterH.addWidget(processWin)
self.setCentralWidget(splitterH)
try:
[sig1,sig2,self.l1,self.r1,self.l2,self.r2,self.l3,self.r3,lsample,gasindex,calculate,temp]=pickle.load( open( "UserLangmuir.dat", "rb" ) )
self.signalChoice1.setCurrentIndex(self.signals.index(sig1))
self.signalChoice2.setCurrentIndex(self.signals.index(sig2))
self.text1.setText(lsample)
self.gas.setCurrentIndex(gasindex)
self.temp.setText(temp)
self.tempChoice.setCheckState(calculate)
self.chooseSignals()
self.updatePlot()
self.displayIV()
self.currentCorrection()
self.temperature()
except Exception,e:
print str(e)
self.l1=0.
self.r1=2.
self.l2=0.
self.r2=0.
self.l3=0.
self.r3=0.
print 'toto'
self.showMaximized()
self.show()
def chooseSignals(self):
Usignal=self.signalChoice1.currentText()
Isignal=self.signalChoice2.currentText()
Udata,Idata,time,self.sampling=readHdf5.getMultiData(self.fileName,Usignal,Isignal,self.env)
self.Udata=np.array(Udata)
self.Idata=np.array(Idata)
self.time=np.array(time)
self.Udata=self.Udata*20.
self.Idata=-self.Idata*0.01
self.p1.clear()
self.p2.clear()
self.p3.clear()
self.p4.clear()
self.lr=pg.LinearRegionItem([self.l1,self.r1])
self.lr.setZValue(-10)
self.p1.addItem(self.lr)
self.lr.sigRegionChanged.connect(self.updatePlot)
self.p1.plot(self.time,self.Idata)
self.p2.plot(self.time,self.Idata)
def updatePlot(self):
self.p2.setXRange(*self.lr.getRegion(),padding=0)
def displayIV(self):
[self.l1,self.r1]=self.lr.getRegion()
rang=self.p2.getPlotItem().getViewBox().viewRange()
rang2=rang[0]
Udataslice=self.Udata[(self.time>=rang2[0]) & (self.time<=rang2[1])]
Idataslice=self.Idata[(self.time>=rang2[0]) & (self.time<=rang2[1])]
# nsweep1=int(self.sampling/100)
langsampl=float(self.text1.text())
nsweep=int(self.sampling/langsampl/2)
maxi=argrelextrema(Udataslice, np.greater,order=nsweep)
mini=argrelextrema(Udataslice, np.less,order=nsweep)
indx=np.sort(np.hstack((maxi,mini)))[0]
temp=np.split(Udataslice,indx)
Udatadown=np.concatenate(temp[::2])
Idatadown=np.concatenate(np.split(Idataslice,indx)[::2])
self.p3.clear()
self.p4.clear()
self.p3.plot(Udatadown,Idatadown,pen=None,symbol='o',symbolSize=1)
idxsorted=np.argsort(Udatadown)
Udatadown=Udatadown[idxsorted]
Idatadown=Idatadown[idxsorted]
Udatadown=self.movingaverage(Udatadown,int(1/langsampl/2*self.sampling/2))
self.Udatauniq=np.unique(Udatadown)
self.Idatauniq=np.zeros(len(self.Udatauniq))
#print 1/langsampl/2*self.sampling/2
i=0
while i<len(self.Udatauniq):
self.Idatauniq[i]=np.mean(Idatadown[Udatadown==self.Udatauniq[i]])
i=i+1
#self.Udatauniq=self.movingaverage(self.Udatauniq,100)
self.Idatauniq=self.movingaverage(self.Idatauniq,int(1/langsampl/2*self.sampling/2))
if self.Back:
backi=interp1d(self.UBack,self.IBack)(self.Udatauniq)
self.Idatauniq=np.subtract(self.Idatauniq,backi)
self.p3.plot(self.Udatauniq,self.Idatauniq)
self.lr2=pg.LinearRegionItem([self.l2,self.r2])
self.lr2.setZValue(-10)
self.p3.addItem(self.lr2)
def currentCorrection(self):
[self.l2,self.r2]=self.lr2.getRegion()
rangea=self.lr2.getRegion()
Ufit=self.Udatauniq[(self.Udatauniq>=rangea[0])&(self.Udatauniq<=rangea[1])]
Ifit=self.Idatauniq[(self.Udatauniq>=rangea[0])&(self.Udatauniq<=rangea[1])]
fit = np.polyfit(Ufit,Ifit,1)
fit_fn = np.poly1d(fit)
self.p3.plot(self.Udatauniq,fit_fn(self.Udatauniq),pen=(0,255,0))
self.Ifitcorr=np.subtract(self.Idatauniq,fit_fn(self.Udatauniq))
self.indexsat=np.where(self.Idatauniq<=0)[0][-1]
self.Vfloat=self.Udatauniq[self.indexsat]
self.Isat=fit_fn(self.Udatauniq)[self.indexsat]
self.p3.plot(self.Udatauniq,self.Ifitcorr,pen=(255,0,0))
self.p4.clear()
self.p4.plot(self.Udatauniq,np.log(self.Ifitcorr))
self.lr3=pg.LinearRegionItem([self.l3,self.r3])
self.lr3.setZValue(-10)
self.p4.addItem(self.lr3)
def temperature(self):
[self.l3,self.r3]=self.lr3.getRegion()
if self.tempChoice.isChecked():
diffI=np.diff(self.movingaverage(self.Ifitcorr[self.indexsat:-10],300))
diffU=np.diff(self.Udatauniq[self.indexsat:-10])
idxmax=np.argmax(diffI/diffU)
self.Vplasma=(self.Udatauniq[self.indexsat:-10])[idxmax-1]
self.lineal=pg.InfiniteLine(pos=self.Vplasma,angle=90,movable=True)
# self.p3.clear()
#self.p3.plot(self.Udatauniq[self.indexsat:-11],diffI/diffU)
self.p4.addItem(self.lineal)
rangea=self.lr3.getRegion()
Ufit=self.Udatauniq[(self.Udatauniq>=rangea[0])&(self.Udatauniq<=rangea[1])]
#print self.Ifitcorr[(self.Udatauniq>=rangea[0])&(self.Udatauniq<=rangea[1])]
Ilogfit=np.log(self.Ifitcorr[(self.Udatauniq>=rangea[0])&(self.Udatauniq<=rangea[1])])
#print Ilogfit
fit = np.polyfit(Ufit,Ilogfit,1)
fit_fn = np.poly1d(fit)
self.p4.plot(Ufit,fit_fn(Ufit),pen=(0,0,255))
self.T=1/fit[0]
else:
self.T=float(self.temp.text())
e_electron=1.6022e-19
if self.gas.currentText()=='Argon':
Mi = 40*1.6726e-27
if self.gas.currentText()=='Helium':
Mi = 4*1.6726e-27
k_b = 1.3807e-23
area=2*np.pi*1e-3*10e-3+np.pi*(1e-3)**2
self.dens = -self.Isat * np.sqrt(Mi)/(0.6 * e_electron * area * np.sqrt(k_b*self.T*11604))
self.textResult.append('Temperature : '+str(self.T)+'\n Density : '+str(self.dens)+'\n Vfloat : '+str(self.Vfloat)+'\n Vplasma : '+str(self.Vplasma))
def movingaverage(self,interval, window_size):
window = np.ones(int(window_size))/float(window_size)
return np.convolve(interval, window, 'same')
def saveBack(self):
self.Uback=self.Udatauniq
self.Iback=self.Idatauniq
self.back=True
def saveAttr(self):
attr=self.saveL.text()
readHdf5.saveAttr(self.fileName,attr,np.array([self.T,self.dens,self.Vfloat,self.Vplasma]),self.env)
sig1=self.signalChoice1.currentText()
sig2=self.signalChoice2.currentText()
lsample=self.text1.text()
gasindex=self.gas.currentIndex()
temp=self.temp.text()
calculate=self.tempChoice.isChecked()
pickle.dump([sig1,sig2,self.l1,self.r1,self.l2,self.r2,self.l3,self.r3,lsample,gasindex,calculate,temp] , open( "UserLangmuir.dat", "wb" ) )
self.env.process.updateShot([self.fileName])
#class powerScaling(QtGui.QMainWindow):
#
# def __init__(self,filename,env,parent=None):
# super(plotSignal,self).__init__(parent)
# pg.setConfigOption('background', 'w')
# pg.setConfigOption('foreground', 'k')
# self.fileName=filename[0]
# self.setWindowTitle("Plotting signal")
# self.resize(1000,600)
# self.env=env
#
#
# self.show()
class profiles(QtGui.QMainWindow):
def __init__(self,filename,env,parent=None):
super(profiles,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename
self.setWindowTitle("Profiles")
self.resize(1000,600)
self.env=env
self.p0=pg.PlotWidget()
self.p1=pg.PlotWidget()
self.p2=pg.PlotWidget()
self.p3=pg.PlotWidget()
self.l1=QtGui.QLineEdit('densityHP')
self.l2=QtGui.QLineEdit('fastHP')
self.l3=QtGui.QLineEdit('slowHP')
self.l4=QtGui.QLineEdit('Vplasma')
formbox=QtGui.QFormLayout()
formbox.addRow('Plot 1: ',self.l1)
formbox.addRow('Plot 2: ',self.l2)
formbox.addRow('Plot 3: ',self.l3)
formbox.addRow('Plot 4: ',self.l4)
form=QtGui.QFrame()
button0=QtGui.QPushButton('Plot data')
button0.clicked.connect(self.start)
form.setLayout(formbox)
vbox2=QtGui.QVBoxLayout()
vbox2.addStretch(1)
vbox2.addWidget(form)
vbox2.addWidget(button0)
vbox1=QtGui.QVBoxLayout()
vbox1.addStretch(1)
vbox1.addWidget(self.p0)
vbox1.addWidget(self.p1)
vbox1.addWidget(self.p2)
vbox1.addWidget(self.p3)
frame1=QtGui.QFrame()
frame1.setLayout(vbox1)
frame2=QtGui.QFrame()
frame2.setLayout(vbox2)
splitterH=QtGui.QSplitter(QtCore.Qt.Horizontal,self)
splitterH.addWidget(frame1)
splitterH.addWidget(frame2)
self.setCentralWidget(splitterH)
self.show()
def start(self):
def calibr(x):
slope=(76.-23.)/(400.-1400.)
return (x-400.)*slope+76.-33
def calibr2(x):
return 10**(((x-0.02- 2.2503)/0.0520+10)/10)
pos=[]
data1=[]
data2=[]
data3=[]
data4=[]
data1max=[]
data2max=[]
data3max=[]
data4max=[]
data1min=[]
data2min=[]
data3min=[]
data4min=[]
for x in self.fileName:
try:
pos.append(readHdf5.getAttr(x,'positionSpace',self.env))
except:
continue
try:
attr=self.l1.text()
print attr
if attr=='':
data1.append(0.)
data1min.append(0.)
data1max.append(0.)
else:
# attr2=attr
# if attr=='VplasmaHP' or attr=='VplasmaLP':
# attr2='density'+attr[-1:-2]
# if attr=='VfloatHP' or attr=='VfloatLP':
#
# attr2='density'+attr[-1:-2]
# if attr=='tempHP' or attr=='tempLP':
# attr2='density'+attr[-1:-2]
# data=readHdf5.getAttr(x,attr2,self.env)
# attr=attr2
data=readHdf5.getAttr(x,attr,self.env)
# if (attr=='fastHP' or attr=='fastLP' or attr=='slowLP' or attr=='slowHP'):
# data=calibr2(data[0])
# if attr=='densityHP' or attr=='densityLP':
# data=data[1]
# if attr=='vplasmaHP' or attr=='vplasmaLP':
# data=data[3]
# if attr=='vfloatHP' or attr=='vfloatLP':
#
# data=data[2]
# if attr=='tempHP' or attr=='tempLP':
# data=data[0]
data1.append(data[0])
data1max.append(data[1])
data1min.append(data[2])
except:
pass
try:
attr=self.l2.text()
if attr=='':
data2.append(0.)
data2min.append(0.)
data2max.append(0.)
else:
data=readHdf5.getAttr(x,attr,self.env)
data2.append(data[0])
data2max.append(data[1])
data2min.append(data[2])
except:
pass
try:
attr=self.l3.text()
if attr=='':
data3.append(0.)
data3min.append(0.)
data3max.append(0.)
else:
data=readHdf5.getAttr(x,attr,self.env)
data3.append(data[0])
data3max.append(data[1])
data3min.append(data[2])
except:
pass
try:
attr=self.l4.text()
if attr=='':
data4.append(0.)
data4min.append(0.)
data4max.append(0.)
else:
data=readHdf5.getAttr(x,attr,self.env)
data4.append(data[0])
data4max.append(data[1])
data4min.append(data[2])
except:
pass
#self.p1.plot(title='Fast Wave profile High Power')
self.p0.clear()
self.p0.plot(pos,data1,pen=None,symbolPen='w')
self.p0.setLabel('bottom', "Position/Center (cm)")
self.p1.clear()
self.p1.plot(pos,data2,pen=None,symbolPen='w')
self.p1.setLabel('bottom', "Position/Center (cm)")
self.p2.clear()
self.p2.plot(pos,data3,pen=None,symbolPen='w')
self.p2.setLabel('bottom', "Position/Center (cm)")
self.p3.clear()
self.p3.plot(pos,data4,pen=None,symbolPen='w')
self.p3.setLabel('bottom', "Position/Center (cm)")
self.p1.setXLink(self.p0)
self.p2.setXLink(self.p0)
self.p3.setXLink(self.p0)
err = pg.ErrorBarItem(x=np.array(pos), y=np.array(data1), top=np.array(data1max), bottom=np.array(data1min), beam=0.5)
self.p0.addItem(err)
err = pg.ErrorBarItem(x=np.array(pos), y=np.array(data2), top=np.array(data2max), bottom=np.array(data2min), beam=0.5)
self.p1.addItem(err)
err = pg.ErrorBarItem(x=np.array(pos), y=np.array(data3), top=np.array(data3max), bottom=np.array(data3min), beam=0.5)
self.p2.addItem(err)
err = pg.ErrorBarItem(x=np.array(pos), y=np.array(data4), top=np.array(data4max), bottom=np.array(data4min), beam=0.5)
self.p3.addItem(err)
# indices = np.argsort(pos)
# pos=np.array(pos)[indices]
# pos,idx=np.unique(pos,return_index=True)
# fast=np.array(fast)[indices]
# fast=fast[idx]
# tck = splrep(pos,fast,s=100 )
# x2 = np.linspace(pos[0], pos[-1], 200)
# y2 = splev(x2, tck)
# p1.plot(x2,y2,pen=(255,0,0))
self.show()
class correlateData(pg.GraphicsWindow):
def __init__(self,filename,env,parent=None):
super(correlateData,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename
self.setWindowTitle("Correlate data")
self.resize(1000,1000)
self.env=env
self.correlation={}
self.signalChoice1=QtGui.QComboBox()
self.signalChoice2=QtGui.QComboBox()
self.signals=readHdf5.getSignals(self.fileName[0],self.env)
self.signalChoice1.addItems(self.signals)
self.signalChoice2.addItems(self.signals)
self.p1=pg.PlotWidget()
self.p2=pg.PlotWidget()
self.p3=pg.PlotWidget()
self.listShots=QtGui.QListWidget()
self.listShots.addItems(self.fileName)
self.listShots.itemClicked.connect(self.display)
button1=QtGui.QPushButton('Calculate correlation')
button1.clicked.connect(self.calculate)
button2= QtGui.QPushButton('Remove correlation')
button2.clicked.connect(self.delCorr)
self.corrName=QtGui.QLineEdit()
button3= QtGui.QPushButton('Save correlation')
button3.clicked.connect(self.saveCorr)
vbox1=QtGui.QVBoxLayout()
vbox1.addStretch(1)
vbox2=QtGui.QVBoxLayout()
vbox2.addStretch(1)
hbox1=QtGui.QHBoxLayout()
hbox1.addStretch(1)
#dataWin=QtGui.QFrame()
#dataWin.setLayout(hbox1)
vbox1.addWidget(self.signalChoice1)
vbox1.addWidget(self.signalChoice2)
vbox1.addWidget(self.p1)
vbox1.addWidget(self.p2)
vbox2.addWidget(self.listShots)
vbox2.addWidget(button1)
vbox2.addWidget(self.p3)
vbox2.addWidget(self.corrName)
vbox2.addWidget(button2)
win2=QtGui.QFrame()
win2.setLayout(vbox1)
win3=QtGui.QFrame()
win3.setLayout(vbox2)
hbox1.addWidget(win2)
hbox1.addWidget(win3)
#self.setCentralWidget(dataWin)
self.setLayout(hbox1)
self.show()
def display(self,item):
self.currentFile=self.listShots.currentItem().text()
signal1=self.signalChoice1.currentText()
signal2=self.signalChoice2.currentText()
time1,data1,sampling1=readHdf5.getData(self.currentFile,signal1,self.env)
time2,data2,sampling2=readHdf5.getData(self.currentFile,signal2,self.env)
if sampling2>=sampling1:
self.data2=interp1d(time2,data2)(time1)
self.timei=time1
self.data1=data1
else:
self.data1=interp1d(time1,data1)(time2)
self.timei=time2
self.data2=data2
self.p1.clear()
self.p1.plot(self.timei,data1)
self.p2.clear()
self.p2.plot(self.timei,self.data2)
#self.p2.linkXAxis(self.p1)
self.lr1=pg.LinearRegionItem([self.timei[0],self.timei[-1]])
self.lr1.setZValue(-10)
self.lr2=pg.LinearRegionItem([self.timei[0],self.timei[-1]])
self.lr2.setZValue(-10)
self.p1.addItem(self.lr1)
self.p2.addItem(self.lr2)
self.lr1.sigRegionChanged.connect(self.updatePlot1)
self.lr2.sigRegionChanged.connect(self.updatePlot2)
def updatePlot1(self):
self.lr2.setRegion(self.lr1.getRegion())
def updatePlot2(self):
self.lr1.setRegion(self.lr2.getRegion())
def calculate(self):
rangea=self.lr1.getRegion()
data1corr=self.data1[(self.timei>=rangea[0])&(self.timei<=rangea[1])]
data2corr=self.data2[(self.timei>=rangea[0])&(self.timei<=rangea[1])]
self.correlation[self.currentFile]=np.vstack((data1corr,data2corr))
print np.concatenate((data1corr,data2corr),axis=0).shape
self.updateCorr()
def updateCorr(self):
self.p3.clear()
for key in self.correlation:
self.p3.plot(self.correlation[key][0],self.correlation[key][1],pen=None,symbol='o')
def delCorr(self):
del self.correlation[self.currentFile]
self.updateCorr()
def saveCorr(self):
print 'toto'
class correlateAttributes(pg.GraphicsWindow):
def __init__(self,filename,env,parent=None):
super(correlateAttributes,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename
self.setWindowTitle("Correlate attributes")
self.resize(1000,1000)
self.env=env
self.attr1=QtGui.QLineEdit()
self.attr2=QtGui.QLineEdit()
formbox=QtGui.QFormLayout()
formbox.addRow('Name of attribute 1 : ',self.attr1)
formbox.addRow('Name of attribute 2 : ',self.attr2)
form=QtGui.QFrame()
form.setLayout(formbox)
self.p1=pg.PlotWidget()
button1=QtGui.QPushButton('Calculate correlation')
button1.clicked.connect(self.calculate)
vbox1=QtGui.QVBoxLayout()
vbox1.addStretch(1)
vbox1.addWidget(form)
vbox1.addWidget(button1)
vbox1.addWidget(self.p1)
self.setLayout(vbox1)
self.show()
def calculate(self):
attr1=[]
attr2=[]
for fileName in self.fileName:
error=False
try:
value1=readHdf5.getAttr(fileName,self.attr1.text(),self.env)
if isinstance(value1,float) or isinstance(value1,int):
attr1.append(value1)
else:
attr1.append(value1[0])
error=True
value2=readHdf5.getAttr(fileName,self.attr2.text(),self.env)
if isinstance(value2,float) or isinstance(value2,int):
print value2
attr2.append(value2)
else:
attr2.append(value2[0])
except:
if error:
attr2.append(0.0)
continue
#print attr1,attr2[0]
#print attr1,attr2
self.p1.plot(attr1,attr2,pen=None,symbol='o')
fit = np.polyfit(attr1,attr2,1)
xx=np.linspace(min(attr1),max(attr1),200)
self.p1.plot(xx,np.poly1d(fit)(xx))
print fit
#fit_fn = np.poly1d(fit)
class positionARM(pg.GraphicsWindow):
def __init__(self,filename,env,parent=None):
super(positionARM,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename[0]
self.setWindowTitle("Correlate attributes")
#self.resize(1000,1000)
self.env=env
view=pg.PlotWidget()
item='PXI M6251/manip_pos'
time,data,self.sampling=readHdf5.getData(self.fileName,item,self.env)
data=self.movingaverage(data,5000)
view.plot(time,data)
vbox1=QtGui.QVBoxLayout()
vbox1.addStretch(1)
vbox1.addWidget(view)
self.setLayout(vbox1)
self.show()
def movingaverage(self,interval, window_size):
window = np.ones(int(window_size))/float(window_size)
return np.convolve(interval, window, 'same')
class overview(pg.GraphicsWindow):
def __init__(self,filename,env,parent=None):
super(overview,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename
self.setWindowTitle("Overview Signal")
self.showMaximized()
self.env=env
p1=self.addPlot(title='Current Big coils')
self.nextRow()
p2=self.addPlot(title='Pressure')
self.nextRow()
p3=self.addPlot(title='Helicon power')
self.nextRow()
p4=self.addPlot(title='ICRF power')
self.nextRow()
p5=self.addPlot(title='Density Langmuir probe')
self.nextRow()
p6=self.addPlot(title='Amplitude B-dot probes')
self.nextRow()
p7=self.addPlot(title='Phase B-dot probes')
indexColor=0
for x in self.fileName:
try:
timeCoils,dataCoils,sampling=readHdf5.getData(x,'S7/Big_coil_I [A]',env)
except:
pass
try:
timeP,dataP,sampling=readHdf5.getData(x,'S7/vacuum [mbar]',env)
except:
pass
try:
timeHF,dataHF,sampling=readHdf5.getData(x,'Generator/Fpower',env)
except:
pass
try:
timeHR,dataHR,sampling=readHdf5.getData(x,'Generator/Rpower',env)
except:
pass
try:
timeIF,dataIF,sampling=readHdf5.getData(x,'PXI M6251/IC_fwd',env)
except:
pass
try:
timeIR,dataIR,sampling=readHdf5.getData(x,'PXI M6251/IC_ref',env)
except:
pass
try:
dataL=np.array(readHdf5.getDataProcess(x,'Process/Langmuir_dens',env))
timeL=np.array(readHdf5.getDataProcess(x,'Process/Langmuir_time',env))
except:
pass
try:
timeFW,dataFW,sampling=readHdf5.getData(x,'PXI M6251/U_fast',env)
except:
pass
try:
timeSW,dataSW,sampling=readHdf5.getData(x,'PXI M6251/U_slow',env)
except:
pass
try:
timePhase1,dataPhase1,sampling=readHdf5.getData(x,'PXI M6251/Phi_fast',env)
except:
pass
try:
timePhase2,dataPhase2,sampling=readHdf5.getData(x,'PXI M6251/Phi_slow',env)
except:
pass
pencil=pg.mkPen(color=pg.intColor(indexColor))
try:
p1.plot(timeCoils,dataCoils,pen=pencil)
except:
pass
try:
p2.plot(timeP,dataP,pen=pencil)
except:
pass
try:
p3.plot(timeHF,dataHF,pen=pencil)
p3.plot(timeHR,dataHR,pen=pencil)
except:
pass
try:
p4.plot(timeIF,dataIF,pen=pencil)
p4.plot(timeIR,dataIR,pen=pencil)
except:
pass
try:
p5.plot(timeL,dataL,pen=pencil)
except:
pass
try:
p6.plot(timeFW,dataFW,pen=pencil)
p6.plot(timeSW,dataSW,pen=pencil)
except:
pass
try:
p7.plot(timePhase1,dataPhase1-dataPhase2,pen=pencil)
except:
pass
indexColor=indexColor+1
p7.setXLink(p1)
p6.setXLink(p1)
p5.setXLink(p1)
p4.setXLink(p1)
p3.setXLink(p1)
p2.setXLink(p1)
class langmuirTime(QtGui.QMainWindow):
def __init__(self,filename,env,parent=None):
super(langmuirTime,self).__init__(parent)
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.fileName=filename[0]
self.setWindowTitle("langmuir time evolution")
self.resize(1000,600)
self.env=env
self.p0=pg.PlotWidget()