import pandas as pd from pathlib import Path import numpy as np from pandas.core.frame import DataFrame class Data_container: def __init__(self, subject_nr:int, subject_name:str): self.subject_nr = subject_nr self.subject_name = subject_name self.data_dict_round1 = {'left': [None]*8, 'right': [None]*8} self.data_dict_round2 = {'left': [None]*8, 'right': [None]*8} self.data_dict_round3 = {'left': [None]*8, 'right': [None]*8} self.data_dict_round4 = {'left': [None]*8, 'right': [None]*8} self.dict_list = [self.data_dict_round1, self.data_dict_round2, self.data_dict_round3, self.data_dict_round4 ] class CSV_handler: def __init__(self, data_type): self.working_dir = str(Path.cwd()) self.data_container_dict = {} # Dict with keys equal subject numbers and values equal the relvant datacontainer self.data_type = data_type # Makes dataframe from the csv files in the working directory def make_df(self, filename): filepath = self.working_dir + str(filename) df = pd.read_csv(filepath) return df # Extracts out the timestamp and the selected emg signal into a new dataframe and stores the data on the subject def get_time_emg_table(self, filename:str, emg_nr:int): tot_data_frame = self.make_df(filename) emg_str = 'emg' + str(emg_nr) filtered_df = tot_data_frame[["timestamp", emg_str]] return filtered_df # Takes in a df and stores the information in a Data_container object def store_df_in_container(self, filename:str, emg_nr:int, which_arm:str, data_container:Data_container, round:int): df = self.get_time_emg_table(filename, emg_nr+1) # Places the data correctly: if round == 1: if which_arm == 'left': data_container.data_dict_round1['left'][emg_nr] = df # Zero indexed emg_nr in the dict else: data_container.data_dict_round1['right'][emg_nr] = df elif round == 2: if which_arm == 'left': data_container.data_dict_round2['left'][emg_nr] = df else: data_container.data_dict_round2['right'][emg_nr] = df elif round == 3: if which_arm == 'left': data_container.data_dict_round3['left'][emg_nr] = df else: data_container.data_dict_round3['right'][emg_nr] = df elif round == 4: if which_arm == 'left': data_container.data_dict_round4['left'][emg_nr] = df else: data_container.data_dict_round4['right'][emg_nr] = df else: raise IndexError('Not a valid index') # Links the data container for a subject to the handler object def link_container_to_handler(self, data_container:Data_container): # Links the retrieved data with the subjects data_container subject_nr = data_container.subject_nr self.data_container_dict[subject_nr] = data_container # Loads the data from the csv files into a storing system in an CSV_handler object # (hard, hardPP, soft and softPP) def load_hard_PP_emg_data(self): # CSV data from subject 1 file1_subject1_left = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1810/myoLeftEmg.csv" file2_subject1_left = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1830/myoLeftEmg.csv" file3_subject1_left = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1845/myoLeftEmg.csv" file4_subject1_left = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1855/myoLeftEmg.csv" subject1_left_files = [file1_subject1_left, file2_subject1_left, file3_subject1_left, file4_subject1_left] file1_subject1_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1810/myoRightEmg.csv" file2_subject1_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1830/myoRightEmg.csv" file3_subject1_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1845/myoRightEmg.csv" file4_subject1_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1855/myoRightEmg.csv" subject1_right_files = [file1_subject1_rigth, file2_subject1_rigth, file3_subject1_rigth, file4_subject1_rigth] # CSV data from subject 2 file1_subject2_left = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2010/myoLeftEmg.csv" file2_subject2_left = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2025/myoLeftEmg.csv" file3_subject2_left = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2035/myoLeftEmg.csv" file4_subject2_left = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2045/myoLeftEmg.csv" subject2_left_files = [file1_subject2_left, file2_subject2_left, file3_subject2_left, file4_subject2_left] file1_subject2_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2010/myoRightEmg.csv" file2_subject2_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2025/myoRightEmg.csv" file3_subject2_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2035/myoRightEmg.csv" file4_subject2_rigth = "/Exp20201205_2myo_hardTypePP/HaluskaMaros_20201205_2045/myoRightEmg.csv" subject2_right_files = [file1_subject2_rigth, file2_subject2_rigth, file3_subject2_rigth, file4_subject2_rigth] # CSV data from subject 3 file1_subject3_left = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1700/myoLeftEmg.csv" file2_subject3_left = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1715/myoLeftEmg.csv" file3_subject3_left = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1725/myoLeftEmg.csv" file4_subject3_left = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1735/myoLeftEmg.csv" subject3_left_files = [file1_subject3_left, file2_subject3_left, file3_subject3_left, file4_subject3_left] file1_subject3_rigth = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1700/myoRightEmg.csv" file2_subject3_rigth = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1715/myoRightEmg.csv" file3_subject3_rigth = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1725/myoRightEmg.csv" file4_subject3_rigth = "/Exp20201205_2myo_hardTypePP/HaluskovaBeata_20201205_1735/myoRightEmg.csv" subject3_right_files = [file1_subject3_rigth, file2_subject3_rigth, file3_subject3_rigth, file4_subject3_rigth] # CSV data from subject 4 file1_subject4_left = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1900/myoLeftEmg.csv" file2_subject4_left = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1915/myoLeftEmg.csv" file3_subject4_left = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1925/myoLeftEmg.csv" file4_subject4_left = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1935/myoLeftEmg.csv" subject4_left_files = [file1_subject4_left, file2_subject4_left, file3_subject4_left, file4_subject4_left] file1_subject4_rigth = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1900/myoRightEmg.csv" file2_subject4_rigth = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1915/myoRightEmg.csv" file3_subject4_rigth = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1925/myoRightEmg.csv" file4_subject4_rigth = "/Exp20201205_2myo_hardTypePP/KelisekDavid_20201209_1935/myoRightEmg.csv" subject4_right_files = [file1_subject4_rigth, file2_subject4_rigth, file3_subject4_rigth, file4_subject4_rigth] # CSV data from subject 5 file1_subject5_left = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2030/myoLeftEmg.csv" file2_subject5_left = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2040/myoLeftEmg.csv" file3_subject5_left = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2050/myoLeftEmg.csv" file4_subject5_left = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2100/myoLeftEmg.csv" subject5_left_files = [file1_subject5_left, file2_subject5_left, file3_subject5_left, file4_subject5_left] file1_subject5_rigth = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2030/myoRightEmg.csv" file2_subject5_rigth = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2040/myoRightEmg.csv" file3_subject5_rigth = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2050/myoRightEmg.csv" file4_subject5_rigth = "/Exp20201205_2myo_hardTypePP/KelisekRichard_20201209_2100/myoRightEmg.csv" subject5_right_files = [file1_subject5_rigth, file2_subject5_rigth, file3_subject5_rigth, file4_subject5_rigth] left_list = [subject1_left_files, subject2_left_files, subject3_left_files, subject4_left_files, subject5_left_files] right_list = [subject1_right_files, subject2_right_files, subject3_right_files, subject4_right_files, subject5_right_files] subject1_data_container = Data_container(1, 'HaluskaMarek') subject2_data_container = Data_container(2, 'HaluskaMaros') subject3_data_container = Data_container(3, 'HaluskovaBeata') subject4_data_container = Data_container(4, 'KelisekDavid') subject5_data_container = Data_container(5, 'KelisekRichard') subject_data_container_list = [subject1_data_container, subject2_data_container, subject3_data_container, subject4_data_container, subject5_data_container] for subject_nr in range(5): data_container = subject_data_container_list[subject_nr] # left variant proccessed here for round in range(4): for emg_nr in range(8): filename = left_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'left', data_container, round+1) # right variant proccessed here for round in range(4): for emg_nr in range(8): filename = right_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'right', data_container, round+1) # Links the stored data in the data_container to the Handler self.link_container_to_handler(data_container) self.data_type = 'hardPP' return self.data_container_dict def load_soft_PP_emg_data(self): # CSV data from subject 1 file1_subject1_left = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1910/myoLeftEmg.csv" file2_subject1_left = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1920/myoLeftEmg.csv" file3_subject1_left = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1935/myoLeftEmg.csv" file4_subject1_left = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1945/myoLeftEmg.csv" subject1_left_files = [file1_subject1_left, file2_subject1_left, file3_subject1_left, file4_subject1_left] file1_subject1_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1910/myoRightEmg.csv" file2_subject1_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1920/myoRightEmg.csv" file3_subject1_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1935/myoRightEmg.csv" file4_subject1_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMarek_20201207_1945/myoRightEmg.csv" subject1_right_files = [file1_subject1_rigth, file2_subject1_rigth, file3_subject1_rigth, file4_subject1_rigth] # CSV data from subject 2 file1_subject2_left = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2055/myoLeftEmg.csv" file2_subject2_left = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2110/myoLeftEmg.csv" file3_subject2_left = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2125/myoLeftEmg.csv" file4_subject2_left = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2145/myoLeftEmg.csv" subject2_left_files = [file1_subject2_left, file2_subject2_left, file3_subject2_left, file4_subject2_left] file1_subject2_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2055/myoRightEmg.csv" file2_subject2_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2110/myoRightEmg.csv" file3_subject2_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2125/myoRightEmg.csv" file4_subject2_rigth = "/Exp20201205_2myo_softTypePP/HaluskaMaros_20201205_2145/myoRightEmg.csv" subject2_right_files = [file1_subject2_rigth, file2_subject2_rigth, file3_subject2_rigth, file4_subject2_rigth] # CSV data from subject 3 file1_subject3_left = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1745/myoLeftEmg.csv" file2_subject3_left = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1755/myoLeftEmg.csv" file3_subject3_left = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1810/myoLeftEmg.csv" file4_subject3_left = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1825/myoLeftEmg.csv" subject3_left_files = [file1_subject3_left, file2_subject3_left, file3_subject3_left, file4_subject3_left] file1_subject3_rigth = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1745/myoRightEmg.csv" file2_subject3_rigth = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1755/myoRightEmg.csv" file3_subject3_rigth = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1810/myoRightEmg.csv" file4_subject3_rigth = "/Exp20201205_2myo_softTypePP/HaluskovaBeata_20201205_1825/myoRightEmg.csv" subject3_right_files = [file1_subject3_rigth, file2_subject3_rigth, file3_subject3_rigth, file4_subject3_rigth] # CSV data from subject 4 file1_subject4_left = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_1945/myoLeftEmg.csv" file2_subject4_left = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_1955/myoLeftEmg.csv" file3_subject4_left = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_2010/myoLeftEmg.csv" file4_subject4_left = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_2025/myoLeftEmg.csv" subject4_left_files = [file1_subject4_left, file2_subject4_left, file3_subject4_left, file4_subject4_left] file1_subject4_rigth = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_1945/myoRightEmg.csv" file2_subject4_rigth = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_1955/myoRightEmg.csv" file3_subject4_rigth = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_2010/myoRightEmg.csv" file4_subject4_rigth = "/Exp20201205_2myo_softTypePP/KelisekDavid_20201209_2025/myoRightEmg.csv" subject4_right_files = [file1_subject4_rigth, file2_subject4_rigth, file3_subject4_rigth, file4_subject4_rigth] # CSV data from subject 5 file1_subject5_left = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2110/myoLeftEmg.csv" file2_subject5_left = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2120/myoLeftEmg.csv" file3_subject5_left = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2130/myoLeftEmg.csv" file4_subject5_left = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2140/myoLeftEmg.csv" subject5_left_files = [file1_subject5_left, file2_subject5_left, file3_subject5_left, file4_subject5_left] file1_subject5_rigth = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2110/myoRightEmg.csv" file2_subject5_rigth = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2120/myoRightEmg.csv" file3_subject5_rigth = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2130/myoRightEmg.csv" file4_subject5_rigth = "/Exp20201205_2myo_softTypePP/KelisekRichard_20201209_2140/myoRightEmg.csv" subject5_right_files = [file1_subject5_rigth, file2_subject5_rigth, file3_subject5_rigth, file4_subject5_rigth] left_list = [subject1_left_files, subject2_left_files, subject3_left_files, subject4_left_files, subject5_left_files] right_list = [subject1_right_files, subject2_right_files, subject3_right_files, subject4_right_files, subject5_right_files] subject1_data_container = Data_container(1, 'HaluskaMarek') subject2_data_container = Data_container(2, 'HaluskaMaros') subject3_data_container = Data_container(3, 'HaluskovaBeata') subject4_data_container = Data_container(4, 'KelisekDavid') subject5_data_container = Data_container(5, 'KelisekRichard') subject_data_container_list = [subject1_data_container, subject2_data_container, subject3_data_container, subject4_data_container, subject5_data_container] for subject_nr in range(5): data_container = subject_data_container_list[subject_nr] # left variant proccessed here for round in range(4): for emg_nr in range(8): filename = left_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'left', data_container, round+1) # right variant proccessed here for round in range(4): for emg_nr in range(8): filename = right_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'right', data_container, round+1) # Links the stored data in the data_container to the Handler self.link_container_to_handler(data_container) self.data_type = 'softPP' return self.data_container_dict def load_hard_original_emg_data(self): # CSV data from subject 1 file1_subject1_left = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1810/myoLeftEmg.csv" file2_subject1_left = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1830/myoLeftEmg.csv" file3_subject1_left = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1845/myoLeftEmg.csv" file4_subject1_left = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1855/myoLeftEmg.csv" subject1_left_files = [file1_subject1_left, file2_subject1_left, file3_subject1_left, file4_subject1_left] file1_subject1_rigth = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1810/myoRightEmg.csv" file2_subject1_rigth = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1830/myoRightEmg.csv" file3_subject1_rigth = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1845/myoRightEmg.csv" file4_subject1_rigth = "/Exp20201205_2myo_hardType/HaluskaMarek_20201207_1855/myoRightEmg.csv" subject1_right_files = [file1_subject1_rigth, file2_subject1_rigth, file3_subject1_rigth, file4_subject1_rigth] # CSV data from subject 2 file1_subject2_left = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2010/myoLeftEmg.csv" file2_subject2_left = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2025/myoLeftEmg.csv" file3_subject2_left = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2035/myoLeftEmg.csv" file4_subject2_left = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2045/myoLeftEmg.csv" subject2_left_files = [file1_subject2_left, file2_subject2_left, file3_subject2_left, file4_subject2_left] file1_subject2_rigth = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2010/myoRightEmg.csv" file2_subject2_rigth = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2025/myoRightEmg.csv" file3_subject2_rigth = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2035/myoRightEmg.csv" file4_subject2_rigth = "/Exp20201205_2myo_hardType/HaluskaMaros_20201205_2045/myoRightEmg.csv" subject2_right_files = [file1_subject2_rigth, file2_subject2_rigth, file3_subject2_rigth, file4_subject2_rigth] # CSV data from subject 3 file1_subject3_left = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1700/myoLeftEmg.csv" file2_subject3_left = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1715/myoLeftEmg.csv" file3_subject3_left = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1725/myoLeftEmg.csv" file4_subject3_left = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1735/myoLeftEmg.csv" subject3_left_files = [file1_subject3_left, file2_subject3_left, file3_subject3_left, file4_subject3_left] file1_subject3_rigth = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1700/myoRightEmg.csv" file2_subject3_rigth = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1715/myoRightEmg.csv" file3_subject3_rigth = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1725/myoRightEmg.csv" file4_subject3_rigth = "/Exp20201205_2myo_hardType/HaluskovaBeata_20201205_1735/myoRightEmg.csv" subject3_right_files = [file1_subject3_rigth, file2_subject3_rigth, file3_subject3_rigth, file4_subject3_rigth] # CSV data from subject 4 file1_subject4_left = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1900/myoLeftEmg.csv" file2_subject4_left = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1915/myoLeftEmg.csv" file3_subject4_left = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1925/myoLeftEmg.csv" file4_subject4_left = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1935/myoLeftEmg.csv" subject4_left_files = [file1_subject4_left, file2_subject4_left, file3_subject4_left, file4_subject4_left] file1_subject4_rigth = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1900/myoRightEmg.csv" file2_subject4_rigth = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1915/myoRightEmg.csv" file3_subject4_rigth = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1925/myoRightEmg.csv" file4_subject4_rigth = "/Exp20201205_2myo_hardType/KelisekDavid_20201209_1935/myoRightEmg.csv" subject4_right_files = [file1_subject4_rigth, file2_subject4_rigth, file3_subject4_rigth, file4_subject4_rigth] # CSV data from subject 5 file1_subject5_left = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2030/myoLeftEmg.csv" file2_subject5_left = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2040/myoLeftEmg.csv" file3_subject5_left = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2050/myoLeftEmg.csv" file4_subject5_left = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2100/myoLeftEmg.csv" subject5_left_files = [file1_subject5_left, file2_subject5_left, file3_subject5_left, file4_subject5_left] file1_subject5_rigth = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2030/myoRightEmg.csv" file2_subject5_rigth = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2040/myoRightEmg.csv" file3_subject5_rigth = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2050/myoRightEmg.csv" file4_subject5_rigth = "/Exp20201205_2myo_hardType/KelisekRichard_20201209_2100/myoRightEmg.csv" subject5_right_files = [file1_subject5_rigth, file2_subject5_rigth, file3_subject5_rigth, file4_subject5_rigth] left_list = [subject1_left_files, subject2_left_files, subject3_left_files, subject4_left_files, subject5_left_files] right_list = [subject1_right_files, subject2_right_files, subject3_right_files, subject4_right_files, subject5_right_files] subject1_data_container = Data_container(1, 'HaluskaMarek') subject2_data_container = Data_container(2, 'HaluskaMaros') subject3_data_container = Data_container(3, 'HaluskovaBeata') subject4_data_container = Data_container(4, 'KelisekDavid') subject5_data_container = Data_container(5, 'KelisekRichard') subject_data_container_list = [subject1_data_container, subject2_data_container, subject3_data_container, subject4_data_container, subject5_data_container] for subject_nr in range(5): data_container = subject_data_container_list[subject_nr] # left variant proccessed here for round in range(4): for emg_nr in range(8): filename = left_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'left', data_container, round+1) # right variant proccessed here for round in range(4): for emg_nr in range(8): filename = right_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'right', data_container, round+1) # Links the stored data in the data_container to the Handler self.link_container_to_handler(data_container) self.data_type = 'hard' return self.data_container_dict def load_soft_original_emg_data(self): # CSV data from subject 1 file1_subject1_left = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1910/myoLeftEmg.csv" file2_subject1_left = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1920/myoLeftEmg.csv" file3_subject1_left = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1935/myoLeftEmg.csv" file4_subject1_left = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1945/myoLeftEmg.csv" subject1_left_files = [file1_subject1_left, file2_subject1_left, file3_subject1_left, file4_subject1_left] file1_subject1_rigth = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1910/myoRightEmg.csv" file2_subject1_rigth = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1920/myoRightEmg.csv" file3_subject1_rigth = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1935/myoRightEmg.csv" file4_subject1_rigth = "/Exp20201205_2myo_softType/HaluskaMarek_20201207_1945/myoRightEmg.csv" subject1_right_files = [file1_subject1_rigth, file2_subject1_rigth, file3_subject1_rigth, file4_subject1_rigth] # CSV data from subject 2 file1_subject2_left = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2055/myoLeftEmg.csv" file2_subject2_left = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2110/myoLeftEmg.csv" file3_subject2_left = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2125/myoLeftEmg.csv" file4_subject2_left = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2145/myoLeftEmg.csv" subject2_left_files = [file1_subject2_left, file2_subject2_left, file3_subject2_left, file4_subject2_left] file1_subject2_rigth = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2055/myoRightEmg.csv" file2_subject2_rigth = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2110/myoRightEmg.csv" file3_subject2_rigth = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2125/myoRightEmg.csv" file4_subject2_rigth = "/Exp20201205_2myo_softType/HaluskaMaros_20201205_2145/myoRightEmg.csv" subject2_right_files = [file1_subject2_rigth, file2_subject2_rigth, file3_subject2_rigth, file4_subject2_rigth] # CSV data from subject 3 file1_subject3_left = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1745/myoLeftEmg.csv" file2_subject3_left = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1755/myoLeftEmg.csv" file3_subject3_left = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1810/myoLeftEmg.csv" file4_subject3_left = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1825/myoLeftEmg.csv" subject3_left_files = [file1_subject3_left, file2_subject3_left, file3_subject3_left, file4_subject3_left] file1_subject3_rigth = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1745/myoRightEmg.csv" file2_subject3_rigth = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1755/myoRightEmg.csv" file3_subject3_rigth = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1810/myoRightEmg.csv" file4_subject3_rigth = "/Exp20201205_2myo_softType/HaluskovaBeata_20201205_1825/myoRightEmg.csv" subject3_right_files = [file1_subject3_rigth, file2_subject3_rigth, file3_subject3_rigth, file4_subject3_rigth] # CSV data from subject 4 file1_subject4_left = "/Exp20201205_2myo_softType/KelisekDavid_20201209_1945/myoLeftEmg.csv" file2_subject4_left = "/Exp20201205_2myo_softType/KelisekDavid_20201209_1955/myoLeftEmg.csv" file3_subject4_left = "/Exp20201205_2myo_softType/KelisekDavid_20201209_2010/myoLeftEmg.csv" file4_subject4_left = "/Exp20201205_2myo_softType/KelisekDavid_20201209_2025/myoLeftEmg.csv" subject4_left_files = [file1_subject4_left, file2_subject4_left, file3_subject4_left, file4_subject4_left] file1_subject4_rigth = "/Exp20201205_2myo_softType/KelisekDavid_20201209_1945/myoRightEmg.csv" file2_subject4_rigth = "/Exp20201205_2myo_softType/KelisekDavid_20201209_1955/myoRightEmg.csv" file3_subject4_rigth = "/Exp20201205_2myo_softType/KelisekDavid_20201209_2010/myoRightEmg.csv" file4_subject4_rigth = "/Exp20201205_2myo_softType/KelisekDavid_20201209_2025/myoRightEmg.csv" subject4_right_files = [file1_subject4_rigth, file2_subject4_rigth, file3_subject4_rigth, file4_subject4_rigth] # CSV data from subject 5 file1_subject5_left = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2110/myoLeftEmg.csv" file2_subject5_left = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2120/myoLeftEmg.csv" file3_subject5_left = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2130/myoLeftEmg.csv" file4_subject5_left = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2140/myoLeftEmg.csv" subject5_left_files = [file1_subject5_left, file2_subject5_left, file3_subject5_left, file4_subject5_left] file1_subject5_rigth = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2110/myoRightEmg.csv" file2_subject5_rigth = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2120/myoRightEmg.csv" file3_subject5_rigth = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2130/myoRightEmg.csv" file4_subject5_rigth = "/Exp20201205_2myo_softType/KelisekRichard_20201209_2140/myoRightEmg.csv" subject5_right_files = [file1_subject5_rigth, file2_subject5_rigth, file3_subject5_rigth, file4_subject5_rigth] left_list = [subject1_left_files, subject2_left_files, subject3_left_files, subject4_left_files, subject5_left_files] right_list = [subject1_right_files, subject2_right_files, subject3_right_files, subject4_right_files, subject5_right_files] subject1_data_container = Data_container(1, 'HaluskaMarek') subject2_data_container = Data_container(2, 'HaluskaMaros') subject3_data_container = Data_container(3, 'HaluskovaBeata') subject4_data_container = Data_container(4, 'KelisekDavid') subject5_data_container = Data_container(5, 'KelisekRichard') subject_data_container_list = [subject1_data_container, subject2_data_container, subject3_data_container, subject4_data_container, subject5_data_container] for subject_nr in range(5): data_container = subject_data_container_list[subject_nr] # left variant proccessed here for round in range(4): for emg_nr in range(8): filename = left_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'left', data_container, round+1) # right variant proccessed here for round in range(4): for emg_nr in range(8): filename = right_list[subject_nr][round] self.store_df_in_container(filename, emg_nr, 'right', data_container, round+1) # Links the stored data in the data_container to the Handler self.link_container_to_handler(data_container) self.data_type = 'soft' return self.data_container_dict # Retrieves df via the data_dict in the handler object def get_df_from_data_dict(self, subject_nr, which_arm, round, emg_nr): data_type = self.data_type container = self.data_container_dict.get(subject_nr) df = container.dict_list[round - 1].get(which_arm)[emg_nr - 1] return df # Help: gets the str from emg nr def get_emg_str(emg_nr): return 'emg' + str(emg_nr) # Help: gets the min/max of a df def get_min_max_timestamp(df:DataFrame): min = int(np.floor(df['timestamp'].min())) max = df['timestamp'].max() return min, max # Help: returns df_time_emg def make_df_from_xandy(x, y, emg_nr): dict = {'timestamp': x, get_emg_str(emg_nr): y} df = DataFrame(dict) #print(df) return df