expyriment.misc.data_preprocessing

Data Preprocessing Module.

This module contains several classes and functions that help to handle, preprocessing and aggregate Expyriment data files.

Classes

• expyriment.misc.data_preprocessing.Aggregator

Functions

expyriment.misc.data_preprocessing.get_experiment_duration(event_filename)

Extracts the experiment duration from event file and returns the time in minutes.

Parameters:

info_filenamestr

name (fullpath) of the Expyriment event file

Returns:

minutesfloat

experiment duration in minutes

expyriment.misc.data_preprocessing.read_datafile(filename, only_header_and_variable_names=False, encoding=None, read_variables=None)

Read an Expyriment data file.

Returns the data, the variable names, the subject info & the comments:

Parameters:

filenamestr

name (fullpath) of the Expyriment data file

only_header_and_variable_namesbool, optional

if True the function reads only the header and variable names (default=False)

encodingstr, optional

the encoding with which the contents of the file will be read

read_variablesarray of str, optional

array of variable names, read only the specified variables

Returns:

datalist of list

data array

variableslist of str

variable names list

subject_infodict

dictionary with subject information (incl. date and between subject factors)

commentsstr

string with remaining comments

expyriment.misc.data_preprocessing.write_concatenated_data(data_folder, file_name, output_file=None, delimiter=',', to_R_data_frame=False, names_comprise_glob_pattern=False)

Concatenate data and write it to a csv file.

All files that start with this name will be considered for the analysis (cf. aggregator.data_files)

Parameters:

data_folderstr

folder which contains of the data (str)

file_namestr

name of the files; all files that start with this name will be considered

output_filestr, optional

name of data output file; if no specified data will the save to {file_name}.csv

delimiterstr, optional

delimiter character (default=”,”)

to_R_data_frame: bool, optional

if True, data will be converted to a R data frame that is saved in a RDS file

names_comprise_glob_patternboolean, optional

if True, data_folder and file_name are processed as glob pattern with wildcards such as “*” or “?”

Notes

The function is useful to combine the experimental data and prepare for further processing with other software. It basically wraps Aggregator.write_concatenated_data.

expyriment.misc.data_preprocessing.write_csv_file(filename, data, varnames=None, delimiter=',')

Write 2D data array to csv file.

Parameters:

filenamestr

name (fullpath) of the data file

datalist of list

2D array with data (list of list)

varnameslist of str, optional

array of strings representing variable names

delimiterstr, optional

delimiter character (default=”,”)