Python data.getDateStr函数代码示例

def enterSubjInfo(expName,optionList):
	""" Brings up a GUI in which to enter all the subject info."""

	def inputsOK(optionList,expInfo):
		for curOption in sorted(optionList.items()):
			if curOption[1]['options'] != 'any' and expInfo[curOption[1]['name']] not in curOption[1]['options']:
				return [False,"The option you entered for " + curOption[1]['name'] + " is not in the allowable list of options: " + str(curOption[1]['options'])]
		print "inputsOK passed"
		return [True,'']

	try:
		expInfo = misc.fromFile(expName+'_lastParams.pickle')
	except:
		expInfo={} #make the kind of dictionary that this gui can understand
		for curOption in sorted(optionList.items()):
			expInfo[curOption[1]['name']]=curOption[1]['default']
	#load the tips
	tips={}
	for curOption in sorted(optionList.items()):
		tips[curOption[1]['name']]=curOption[1]['prompt']
	expInfo['dateStr']= data.getDateStr()
	expInfo['expName']= expName
	dlg = gui.DlgFromDict(expInfo, title=expName, fixed=['dateStr','expName'],order=[optionName[1]['name'] for optionName in sorted(optionList.items())],tip=tips)
	if dlg.OK:
		misc.toFile(expName+'_lastParams.pickle', expInfo)
		[success,error] = inputsOK(optionList,expInfo)
		if success:
			return [True,expInfo]
		else:
			return [False,error]
	else:
		core.quit()

    def writeScript(self, expPath=None):
        """Write a PsychoPy script for the experiment
        """
        self.expPath = expPath
        script = IndentingBuffer(u"")  # a string buffer object
        script.write(
            "#!/usr/bin/env python\n"
            + "# -*- coding: utf-8 -*-\n"
            + '"""\nThis experiment was created using PsychoPy2 Experiment Builder (v%s), %s\n'
            % (self.psychopyVersion, data.getDateStr(format="%B %d, %Y, at %H:%M"))
            + "If you publish work using this script please cite the relevant PsychoPy publications\n"
            + "  Peirce, JW (2007) PsychoPy - Psychophysics software in Python. Journal of Neuroscience Methods, 162(1-2), 8-13.\n"
            + '  Peirce, JW (2009) Generating stimuli for neuroscience using PsychoPy. Frontiers in Neuroinformatics, 2:10. doi: 10.3389/neuro.11.010.2008\n"""\n'
        )
        script.write(
            "from numpy import * #many different maths functions\n"
            + "from numpy.random import * #maths randomisation functions\n"
            + "import os #handy system and path functions\n"
            + "from psychopy import %s\n" % ", ".join(self.psychopyLibs)
            + "import psychopy.log #import like this so it doesn't interfere with numpy.log\n\n"
        )
        self.namespace.user.sort()
        script.write(
            "#User-defined variables = %s\n" % str(self.namespace.user)
            + "known_name_collisions = %s  #(collisions are bad)\n\n" % str(self.namespace.get_collisions())
        )

        self.settings.writeStartCode(script)  # present info dlg, make logfile, Window
        # delegate rest of the code-writing to Flow
        self.flow.writeCode(script)
        self.settings.writeEndCode(script)  # close log file

        return script

    def _setExperimentInfo(self, author, version, verbose):
        # try to auto-detect __author__ and __version__ in sys.argv[0] (= the users's script)
        if not author or not version:
            if os.path.isfile(sys.argv[0]):
                f = open(sys.argv[0], 'r')
                lines = f.read()
                f.close()
            if not author and '__author__' in lines:
                linespl = lines.splitlines()
                while linespl[0].find('__author__') == -1:
                    linespl.pop(0)
                auth = linespl[0]
                if len(auth) and '=' in auth:
                    try:
                        author = str(eval(auth[auth.find('=')+1 :]))
                    except:
                        pass
            if not version and '__version__' in lines:
                linespl = lines.splitlines()
                while linespl[0].find('__version__') == -1:
                    linespl.pop(0)
                ver = linespl[0]
                if len(ver) and ver.find('=') > 0:
                    try:
                        version = str(eval(ver[ver.find('=')+1 :]))
                    except:
                        pass

        if author or verbose:
            self['experimentAuthor'] = author
        if version or verbose:
            self['experimentAuthVersion'] = version

        # script identity & integrity information:
        self['experimentScript'] = os.path.basename(sys.argv[0])  # file name
        scriptDir = os.path.dirname(os.path.abspath(sys.argv[0]))
        self['experimentScript.directory'] = scriptDir
        # sha1 digest, text-format compatibility
        self['experimentScript.digestSHA1'] = _getSha1hexDigest(os.path.abspath(sys.argv[0]), isfile=True)
        # subversion revision?
        try:
            svnrev, last, url = _getSvnVersion(os.path.abspath(sys.argv[0]))  # svn revision
            if svnrev: # or verbose:
                self['experimentScript.svnRevision'] = svnrev
                self['experimentScript.svnRevLast'] = last
                self['experimentScript.svnRevURL'] = url
        except:
            pass
        # mercurical revision?
        try:
            hgChangeSet = _getHgVersion(os.path.abspath(sys.argv[0]))
            if hgChangeSet: # or verbose:
                self['experimentScript.hgChangeSet'] = hgChangeSet
        except:
            pass

        # when was this run?
        self['experimentRunTime.epoch'] = core.getAbsTime()
        self['experimentRunTime'] = data.getDateStr(format="%Y_%m_%d %H:%M (Year_Month_Day Hour:Min)")

def get_subject_info():
    try:
        expInfo = fromFile('../data/lastParams.pickle') # check existence of previous parameter file
    except:
        expInfo = {'pseudo':'pseudo'}
        expInfo['date']= data.getDateStr() #add current time
    #present a dialog box to get user info
    dlg = gui.DlgFromDict(expInfo, title='Experiment', fixed=['date'])
    if dlg.OK:
        toFile('../data/lastParams.pickle', expInfo)#save params to file for next time
    else:
        core.quit()#cancel -> exit
    return expInfo

 def experimentInfo(self, expName = "SET EXPERIMENT NAME"):
     self.expName = expName   
     self.expInfo = {'Subject Id':'', 'Age':'', 'Experiment Version': 0.1,
                     'Sex': ['Male', 'Female', 'Other']}
     self.expInfo[u'date'] = data.getDateStr(format="%Y-%m-%d_%H:%M")  
     self.infoDlg = gui.DlgFromDict(dictionary=self.expInfo, 
                                    title=self.expName,
                                    fixed=['Experiment Version'])
     self.expInfo[u'DataFile'] = u'Data' + os.path.sep + u'DATA_Local-Global_Task.csv'
     if self.infoDlg.OK:
         return self.expInfo
     else: 
         return 'Cancelled'

    def callDialog(self):
        """Fire up the dialog instance and return the data"""

        # Set up dialog data
        for item in self.dialog_data:
            self.info[item] = ""

        dlg = gui.DlgFromDict(dictionary=self.info, title=self.expName)
        if not dlg.OK:
            core.quit()
            # Tack on date
        self.info["dateStr"] = data.getDateStr()  # will create str of current date/time

        return self.info

def info_gui(expName, expInfo):
    infoDlg = gui.DlgFromDict(expInfo, title = '%s Subject details:'%(expName)) #set the name of the pop up window
    expInfo['date'] = data.getDateStr()  # add a simple timestamp to the experiment
    expInfo['expName'] = expName
    datalog_fn = 'data_' + expName + os.sep  + '%s_%s_%s_%s' %(expInfo['subject'], expInfo['session'], expName, expInfo['date'])
    def make_sure_path_exists(path):
        try:
            os.makedirs(path)
        except OSError as exception:
            if exception.errno != errno.EEXIST:
                raise    
    make_sure_path_exists('data_' + expName)
    timelog(datalog_fn)
    if infoDlg.OK == False: #stop experiment if press cancel 
        print 'User Cancelled'
        core.quit()  # user pressed cancel
    return expInfo, datalog_fn

import matplotlib.pyplot as plt

from psychopy import visual, core, event, gui, data
from sklearn import linear_model


nSessions = 5
# Grab user info and set up output files for analysis
_thisDir = os.path.dirname(os.path.abspath(__file__))
print _thisDir
os.chdir(_thisDir)
expName = 'standardFlashlag'
expInfo = {u'User': u''}
dlg = gui.DlgFromDict(dictionary=expInfo, title=expName)
if dlg.OK == False: core.quit()
expInfo['date'] = data.getDateStr()
expInfo['expName'] = expName
dataOut = pd.DataFrame(columns = ('response','correct','rotation'))
grabMeans = pd.DataFrame()
deg_sign= u'\N{DEGREE SIGN}'

'''
Initalize stimuli parameters
all units are in pixels to show correctly on any sized screen
user may wish to modify for optimality on small or larger screens
tested on 1920x1080 (widescreen) display
'''

dotRad = (55,55)
flashRad = (55,55)
circleRadius = 125

EXP_NAME = "AMP China Dorm"  # name of experiment


### store info about experiment session ---------------------------------------

# set up info we need to get
exp_info = {"Participant ID": ""}

# create a dialog box to get info
dialog = gui.DlgFromDict(dictionary=exp_info, title=EXP_NAME)
if dialog.OK == False:  # quit dialog box if "canceled" is pressed
    core.quit()

# add experiment title and date
exp_info["Experiment Name"] = EXP_NAME
exp_info["Date"] = data.getDateStr()


### set up stimuli ------------------------------------------------------------

## create a window
win = visual.Window(size=SCREENSIZE, color="black", units="pix", fullscr=False)

## display instructions at the beginning of trial
instruction_1 = "What you are about to see will involve two kinds of images: pictures of people, and of geometric shapes.\n\n\nPress SPACE to continue"
instruction_2 = "The pictures of people will be either pictures of Han people doing daily activities, or pictures of minority people such as Tibetan or Uyghur doing similar activities.\n\nYou do not need to do anything with these pictures.\n\n\nPress SPACE to continue"
instruction_3 = "Your job is to judge the visual pleasantness of the geometric shape.\n\nIf the geometric shape is less visually pleasing than average, press the (E) key.\n\nIf the geometric shape is more visually pleasing than average, press the (I) key.\n\n\nPress SPACE to BEGIN"
instruction_text = visual.TextStim(win, text=instruction_1, color="red", height=20)

## display "Pleasant" and "Unpleasant" commands throughout trials
pleasant_text = visual.TextStim(win, text="Pleasant", color="green", height=0.07, pos=(-0.8, 0.85), units="norm")

from numpy import *  # many different maths functions
from numpy.random import *  # maths randomisation functions
import os  # handy system and path functions
from psychopy import core, data, event, visual, gui
import psychopy.log  # import like this so it doesn't interfere with numpy.log

# User-defined variables = [u'Gabor', 'Instructions', 'Intro', 'key_resp', 'key_resp_2', 'trial', u'trials']
known_name_collisions = None  # (collisions are bad)

# store info about the experiment
expName = "StairTest"  # from the Builder filename that created this script
expInfo = {"participant": "", "session": "001"}
dlg = gui.DlgFromDict(dictionary=expInfo, title=expName)
if dlg.OK == False:
    core.quit()  # user pressed cancel
expInfo["date"] = data.getDateStr()  # add a simple timestamp
expInfo["expName"] = expName
# setup files for saving
if not os.path.isdir("data"):
    os.makedirs("data")  # if this fails (e.g. permissions) we will get error
filename = "data" + os.path.sep + "%s_%s" % (expInfo["participant"], expInfo["date"])
psychopy.log.console.setLevel(psychopy.log.warning)  # this outputs to the screen, not a file
logFile = psychopy.log.LogFile(filename + ".log", level=psychopy.log.EXP)

# setup the Window
win = visual.Window(
    size=[1024, 768],
    fullscr=True,
    screen=0,
    allowGUI=False,
    allowStencil=False,

    depth=-4.0) 
    
def handleKeys(key):
    '''Function for handling keys from the handles and using with
    ratingScale...'''
    if key != 191:
        key = str(key)
        event._onPygletKey(symbol=key, modifiers=None, emulated=True)#Buffers the input
        last_state = True # Return true if down
        port.setData(0)
        core.wait(.15)

# Store info about the experiment session
expName = u'Cross-Modality Matching'   #
expInfo = {'Subject_Id':'', 'Age':'', 'ExpVersion': 2.0,'Sex': ['Male', 'Female']}
expInfo[u'date'] = data.getDateStr(format="%Y-%m-%d_%H:%M")  # add a simple timestamp
infoDlg = gui.DlgFromDict(dictionary=expInfo, title=expName, fixed=['ExpVersion'])

if infoDlg.OK:
    print expInfo
else: print 'User Cancelled'

#Soundlevels to choose from...
sndlvls = numpy.linspace(0.1, 1.0, 21)#This can be removed later!!!!!!!!!!!!!!!
#List of sound levels to start from
sint = [0.1, 1.0]
#List of vibration intensities
vlvl = [5,5,5,5,10,10,10,10,15,15,15,15]
#List of the tasks
task = ['Attention', 'Attention', 'Attention', 'Intensity', 'Intensity', 'Intensity']
#Sounds

from infant_eeg.facial_movement_exp import FacialMovementExperiment
from infant_eeg.gaze_following_exp import GazeFollowingExperiment
import os
from psychopy import data, gui
from infant_eeg.config import CONF_DIR
from infant_eeg.nine_month_facial_movement_exp import NineMonthFacialMovementExperiment

if __name__ == '__main__':
    # experiment parameters
    expInfo = {
        'child_id': '',
        'date': data.getDateStr(),
        'session': '',
        'diagnosis': '',
        'age': '',
        'gender': '',
        'experimenter_id': '',
        'monitor': ['viewsonic','tobii'],
        'monitor distance': '65',
        'experiment': ['FacialMovement','GazeFollowing','9mo FacialMovement'],
        'congruent actor': ['CG', 'FO'],
        'incongruent actor': ['CG', 'FO'],
        'preferential gaze': False,
        'eeg': True,
        'eyetracking source': ['tobii', 'mouse', 'none'],
        'debug mode': False
    }

    #present a dialogue to change params
    dlg = gui.DlgFromDict(
        expInfo,

    #ntrials3 = 100
    #nblocks3 = 2
    #blockSize3 = 100

# uncomment for debug run
#ntrials = 4
#nblocks = 4
#blockSize = 4


#create a window to draw in
myWin =visual.Window((1280,1024), allowGUI=True,
    bitsMode=None, units='norm', winType='pyglet', color=(-1,-1,-1))

# Admin
expInfo = {'subject':'test','date':data.getDateStr(),'practice':True,'speed time':speedTime,'trial time':1500}
#expInfo['dateStr']= data.getDateStr() #add the current time
#expInfo['practice'] = True

#present a dialogue to change params
ok = False
while(not ok):
    dlg = gui.DlgFromDict(expInfo, title='Moving Dots', fixed=['dateStr'],order=['date','subject','practice','speed time','trial time'])
    if dlg.OK:
        misc.toFile('lastParams.pickle', expInfo)#save params to file for next time
        ok = True
    else:
        core.quit()#the user hit cancel so exit


# setup data file

	)

if dialogue_box.OK:
	print(dialogue_content)
else:
	print('User Cancelled')
	core.quit()

# Ensure that relative paths start from the same directory as this script
# current_dir = os.path.dirname(os.path.abspath(__file__))
# os.chdir(current_dir)

# Store info about the experiment session
experiment_name = 'CFS popping time'  # from the Builder filename that created this script
experiment_info = {u'session': u'001', u'participant': u''}
experiment_info['date'] = data.getDateStr()  # add a simple timestamp
experiment_info['experiment_name'] = experiment_name

# Data file name stem = absolute path + name; later add .psyexp, .csv, .log, etc
filename = 'data/'+ str(dialogue_box.data[0])

# An ExperimentHandler isn't essential but helps with data saving
current_experiment = data.ExperimentHandler(
	name=experiment_name, 
	extraInfo=experiment_info, 
	runtimeInfo=None,
	#originPath=u'/Users/alex/Documents/Popping Time/',
	savePickle=True, 
	saveWideText=False,
	dataFileName=filename)

# real session - 24. divided to 18 (go or nogo) and 6 (the opposite). stimulus display for 1,2 or 3s.  intertrial was 1.5s
# attched is a .odt document with the conditions (as suggested by Prof. Andrea Berger).

from psychopy import core, visual, gui, data, misc, event, sound
import time, os, random, numpy
# now turn to right folder
directory=os.getcwd()  # get folder
os.chdir(directory) # use it

#folder='/home/ord/Experiments_BP_Clinic/PCT/' #specify the folder of result files to be saved in
# savine last experiment data
try:#try to get a previous parameters file
    expInfo = misc.fromFile('gonogo.pickle')
except:#if not there then use a default set
    expInfo = {'subject no':''}
expInfo['dateStr']= data.getDateStr() #add the current time
# dialouge box for name of subject and file
dlg = gui.DlgFromDict(expInfo, title='Go/NoGo Task', fixed=['dateStr'])
if dlg.OK:
    misc.toFile('gonogo.pickle', expInfo)#save params to file for next time
else:
    core.quit()#the user hit cancel so exit

# check if folder exist and if not, create it
if not os.path.exists('results'):
    os.makedirs('results')

fileName = expInfo['subject no'] + expInfo['dateStr']
dataFile = open(directory+'/results/'+fileName+'.csv', 'w')#a simple text file with 'comma-separated-values'
dataFile.write('trialNo,trial,RT,press,answer\n')