output_file.write('\n')
def writeDataRow(output_file,session_info,session_uservar_names,event_data):
"""
Save a row of data to the output file, in tab delimited format. See comment
for writeOutputFileHeader function for order of saved columns.
"""
session_data=[str(i) for i in session_info[:-1]]
session_user_data=[session_info.user_variables[sud_name] for sud_name in session_uservar_names]
all_data= session_data+session_user_data+[str(e) for e in event_data]+session_user_data
output_file.write('\t'.join(all_data))
output_file.write('\n')
if __name__ == '__main__':
# Select the hdf5 file to process.
data_file_path= displayDataFileSelectionDialog(psychopy.iohub.module_directory(writeOutputFileHeader))
if data_file_path is None:
print("File Selection Cancelled, exiting...")
sys.exit(0)
data_file_path = data_file_path[0]
dpath,dfile=os.path.split(data_file_path)
# Lets time how long processing takes
#
start_time=getTime()
# Create an instance of the ExperimentDataAccessUtility class
# for the selected DataStore file. This allows us to access data
# in the file based on Device Event names and attributes, as well
# as access the experiment session metadata saved with each session run.
dataAccessUtil=ExperimentDataAccessUtility(dpath,dfile, experimentCode=None,sessionCodes=[])
import sys
import os
from psychopy.iohub.constants import EventConstants
from psychopy.iohub.datastore.util import displayDataFileSelectionDialog
from psychopy.iohub.datastore.util import ExperimentDataAccessUtility
SAVE_EVENT_TYPE = EventConstants.MONOCULAR_EYE_SAMPLE
SAVE_EVENT_FIELDS = ['time', 'gaze_x', 'gaze_y', 'pupil_measure1', 'status']
#SAVE_EVENT_TYPE = EventConstants.BINOCULAR_EYE_SAMPLE
#SAVE_EVENT_FIELDS = ['time', 'left_gaze_x', 'left_gaze_y', 'left_pupil_measure1',
# 'right_gaze_x', 'right_gaze_y', 'right_pupil_measure1', 'status']
if __name__ == '__main__':
# Select the hdf5 file to process.
data_file_path = displayDataFileSelectionDialog(
os.path.dirname(os.path.abspath(__file__)))
if data_file_path is None:
print("File Selection Cancelled, exiting...")
sys.exit(0)
data_file_path = data_file_path[0]
dpath, dfile = os.path.split(data_file_path)
datafile = ExperimentDataAccessUtility(dpath, dfile)
events_by_trial = datafile.getEventAttributeValues(
SAVE_EVENT_TYPE,
SAVE_EVENT_FIELDS,
startConditions={'time': ('>=', '@TRIAL_START@')},
endConditions={'time': ('<=', '@TRIAL_END@')})
ecount = 0
def writeDataRow(output_file,*args):
"""
Save a row of data to the output file, in tab delimited format. See comment
for writeOutputFileHeader function for order of saved columns.
"""
all_data=[]
for cvals in args:
all_data.extend([str(cv) for cv in cvals])
output_file.write('\t'.join(all_data))
output_file.write('\n')
if __name__ == '__main__':
# Select the hdf5 file to process.
data_file_path= displayDataFileSelectionDialog(
starting_dir=os.path.join(
module_directory(
writeOutputFileHeader),
'results'))
if data_file_path is None:
print("File Selection Cancelled, exiting...")
sys.exit(0)
dpath,dfile=os.path.split(data_file_path)
# Lets time how long it takes to read and save to .txt format
#
start_time=getTime()
# Create an instance of the ExperimentDataAccessUtility class
# for the selected DataStore file. This allows us to access data
# in the file based on Device Event names and attributes, as well
for writeOutputFileHeader function for order of saved columns.
"""
session_data = [str(i) for i in session_info[:-1]]
session_user_data = [
session_info.user_variables[sud_name]
for sud_name in session_uservar_names
]
all_data = session_data + session_user_data + [str(e) for e in event_data
] + session_user_data
output_file.write('\t'.join(all_data))
output_file.write('\n')
if __name__ == '__main__':
# Select the hdf5 file to process.
data_file_path = displayDataFileSelectionDialog(
psychopy.iohub.module_directory(writeOutputFileHeader))
if data_file_path is None:
print("File Selection Cancelled, exiting...")
sys.exit(0)
dpath, dfile = os.path.split(data_file_path)
# Lets time how long processing takes
#
start_time = getTime()
# Create an instance of the ExperimentDataAccessUtility class
# for the selected DataStore file. This allows us to access data
# in the file based on Device Event names and attributes, as well
# as access the experiment session metadata saved with each session run.
dataAccessUtil = ExperimentDataAccessUtility(dpath,
dfile,
def writeDataRow(output_file, *args):
"""
Save a row of data to the output file, in tab delimited format. See comment
for writeOutputFileHeader function for order of saved columns.
"""
all_data = []
for cvals in args:
all_data.extend([str(cv) for cv in cvals])
output_file.write('\t'.join(all_data))
output_file.write('\n')
if __name__ == '__main__':
# Select the hdf5 file to process.
data_file_path = displayDataFileSelectionDialog(starting_dir=os.path.join(
module_directory(writeOutputFileHeader), 'results'))
if data_file_path is None:
print("File Selection Cancelled, exiting...")
sys.exit(0)
dpath, dfile = os.path.split(data_file_path)
# Lets time how long it takes to read and save to .txt format
#
start_time = getTime()
# Create an instance of the ExperimentDataAccessUtility class
# for the selected DataStore file. This allows us to access data
# in the file based on Device Event names and attributes, as well
# as access the experiment session metadata saved with each session run.
dataAccessUtil = ExperimentDataAccessUtility(dpath,
