if trialNum < trials.nTotal: #When you abort early, correct and other columns are not numeric because have value of "-"
#converting to numeric
df = df.convert_objects(convert_numeric=True)
print('df.dtypes=', df.dtypes) #df.dtypes in my case are "objects". you can't take the mean
print('dfFromPP =', df)
if eyetracking and getEyeTrackingFileFromEyetrackingMachineAtEndOfExperiment:
tracker.closeConnectionToEyeTracker(eyeMoveFile)
logging.info('finishing at '+timeAndDateStr)
#print('%corr = ', round( correct*1.0/trialNum*100., 2) , '% of ',trialNum,' trials', end=' ')
print('%corr each speed: ', end=' ')
print(np.around( numRightWrongEachSpeed[:,1] / ( numRightWrongEachSpeed[:,0] + numRightWrongEachSpeed[:,1]), 2))
print('\t\t\t\tnum trials each speed =', numRightWrongEachSpeed[:,0] + numRightWrongEachSpeed[:,1])
logging.flush()
myWin.close()
if quitFinder:
applescript="\'tell application \"Finder\" to launch\'" #turn Finder back on
shellCmd = 'osascript -e '+applescript
os.system(shellCmd)
#Fit and plot data
plotData = False
if trialNum >0 and plotData:
import plotHelpers
fig = plotHelpers.plotDataAndPsychometricCurve(df, dataFileName=None)
figName = 'pythonFig'
figFnameWithPath = os.path.join('analysis/figs/', figName + '.png')
import pylab
pylab.savefig( figFnameWithPath ) #, bbox_inches='tight')
print('The plot has been saved, as', figFnameWithPath)
pylab.show() #pauses until window manually closed. Have to save before calling this, because closing the window loses the figure
nDone+=1
logging.flush()
myWin.close()
if expStop:
print("Experiment stopped because user stopped it.")
else:
print("Experiment finished")
if nDone >0:
print("Data was saved on each trial to", fileNameWithPath+'MANUAL.txt')
fileNamePP = fileNameWithPath
dfFromPP = trials.saveAsWideText(fileNamePP)
print("Psychopy's wideText has been saved as", fileNamePP)
#dfFromPP.to_pickle(fileNameWithPath+"_DataFrame.pickle") #doing this to have a dataframe to test plotDataAndPsychometricCurve with in analyzeData.py
fileNamePickle = fileNameWithPath #.psydat will automatically be appended
trials.saveAsPickle(fileNamePickle)
print("Most Psychopy-ic method: trials trialHandler has been saved as", fileNamePickle, "should include copy of code")
#df.dtypes in my case are "objects". you can't take the mean
df = dfFromPP
print('df.dtypes=\n',df.dtypes)
#Fit and plot data
fig = plotDataAndPsychometricCurve(df, dataFileName=None)
figFnameWithPath = os.path.join('figures/', fName + '.png')
pylab.savefig( figFnameWithPath ) #, bbox_inches='tight')
print('The plot has been saved, as', figFnameWithPath)
pylab.show() #pauses until window manually closed. Have to save before calling this, because closing the window loses the figure
import sys
sys.path.append(
'/Users/alexh/Documents/attention_tempresltn/multiple object tracking/newTraj/newTraj_repo'
)
import plotHelpers
import pylab
#datFile = psychopy.tools.filetools.fromFile(filenamePickle+'.psydat')
#print datFile.data #doing this to have a dataframe to test plotDataAndPsychometricCurve with in analyzeData.py
#Only way to convert it from idiosyncratic psychopy format to dataframe is with saveAsWideText
#df = datFile.saveAsWideText("temp.txt") #wide is useful for analysis with R or SPSS. Also returns dataframe df
#print('dataframe returned from saveAsWideText df.dtypes=\n',df.dtypes)
#fig = plotDataAndPsychometricCurve(df, dataFileName=None)
fig = plotHelpers.plotDataAndPsychometricCurve(
df=None, dataFileName="exampleData/auto_10Jun2015_16-04.psydat")
pylab.show(
) #pauses until window manually closed. Have to save before calling this, because closing the window loses the figure
import sys
sys.path.append('/Users/alexh/Documents/attention_tempresltn/multiple object tracking/newTraj/newTraj_repo')
import plotHelpers
import pylab
#datFile = psychopy.tools.filetools.fromFile(filenamePickle+'.psydat')
#print datFile.data #doing this to have a dataframe to test plotDataAndPsychometricCurve with in analyzeData.py
#Only way to convert it from idiosyncratic psychopy format to dataframe is with saveAsWideText
#df = datFile.saveAsWideText("temp.txt") #wide is useful for analysis with R or SPSS. Also returns dataframe df
#print('dataframe returned from saveAsWideText df.dtypes=\n',df.dtypes)
#fig = plotDataAndPsychometricCurve(df, dataFileName=None)
fig = plotHelpers.plotDataAndPsychometricCurve(df=None, dataFileName="exampleData/auto_10Jun2015_16-04.psydat")
pylab.show() #pauses until window manually closed. Have to save before calling this, because closing the window loses the figure