def replayBlock(vp,block,trial,tlag=0,coderid=0,exportAlgo=False):
''' replays the remaining block from the chase experiment starting at <trial>
vp - subject id
block - block id
trial - trial id on which the replay will start
tlag - lag in ms on each frame, useful for slowing down the replay
coderid - coder id whose coding data will be displayed
if the coding data are not available automated coding will be created
'''
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
trialStart=trial
#win = Q.initDisplay((1280,1100))
from Preprocess import readEyelink
data=readEyelink(vp,block)
#PATH+='coder%d'% coderid +os.path.sep
for trial in range(trialStart,len(data)):
print vp,block,trial
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
#for trial in range(trialStart,len(data)):
R=Coder(gazeData=data[trial],phase=1,eyes=1,coderid=coderid)#,wind=win)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
if exportAlgo:
R.saveSelection(coderid=coderid)
R.wind.close()
else: R.play(tlag=tlag)
def plotDC(vp,block,trial):
''' plot gaze during drift correction'''
from Preprocess import readEyelink
plt.interactive(False)
# vp=1
# from readETData import readEyelink
# for b in range(4,23):
# print 'block ', b
# data=readEyelink(vp,b)
# for i in range(0,len(data)):
b=block;i=trial
data=readEyelink(vp,b)
d=data[i]
gg=d.getGaze(phase=3)
plt.plot(gg[:,0],gg[:,1],'g--')
plt.plot(gg[:,0],gg[:,2],'r--')
plt.plot(gg[:,0],gg[:,4],'b--')
plt.plot(gg[:,0],gg[:,5],'k--')
d.extractBasicEvents()
d.driftCorrection(jump=manualDC(vp,b,i))
gg=d.getGaze(phase=3)
plt.plot(gg[:,0],gg[:,1],'g')
plt.plot(gg[:,0],gg[:,2],'r')
plt.plot(gg[:,0],gg[:,4],'b')
plt.plot(gg[:,0],gg[:,5],'k')
plt.plot([gg[0,0],gg[-1,0]],[0,0],'k')
plt.plot(d.dcfix,[-0.45,-0.45],'k',lw=2)
plt.grid()
plt.ylim([-0.5,0.5])
plt.legend(['left x','left y','right x','right y'])
plt.savefig(PATH+'dc'+os.path.sep+'vp%03db%02dtr%02d'%(vp,b,i))
plt.cla()
def plotMD():
vp=1
from Preprocess import readEyelink
for b in range(1,22):
plt.cla()
print 'block ', b
data=readEyelink(vp,b)
for d in data:
d.driftCorrection(jump=manualDC(vp,b,i))
d.plotMissingData()
plt.show()
plt.savefig('fb%02d'%(d.block))
def replayTrial(vp,block,trial,tlag=0,coderid=0):
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
from Preprocess import readEyelink
data=readEyelink(vp,block)
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
R=Coder(gazeData=trl,phase=1,eyes=1,coderid=coderid)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
#R.saveSelection(coderid=0)
R.play(tlag=tlag)
def replayTrial(vp,block,trial,tlag=0,coderid=0):
''' replays a trial from the chase experiment
vp - subject id
block - block id
trial - trial id
tlag - lag in ms on each frame, useful for slowing down the replay
coderid - coder id whose coding data will be displayed
if the coding data are not available automated coding will be created
'''
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
from Preprocess import readEyelink
data=readEyelink(vp,block)
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
R=Coder(gazeData=trl,phase=1,eyes=1,coderid=coderid)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
#R.saveSelection(coderid=0)
R.play(tlag=tlag)
def replayBlock(vp,block,trial,tlag=0,coderid=0,exportAlgo=False):
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
trialStart=trial
#win = Q.initDisplay((1280,1100))
from Preprocess import readEyelink
data=readEyelink(vp,block)
#PATH+='coder%d'% coderid +os.path.sep
for trial in range(trialStart,len(data)):
print vp,block,trial
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
#for trial in range(trialStart,len(data)):
R=Coder(gazeData=data[trial],phase=1,eyes=1,coderid=coderid)#,wind=win)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
if exportAlgo:
R.saveSelection(coderid=coderid)
R.wind.close()
else: R.play(tlag=tlag)
