dh2 = DataHandler()
print('CREATED datahandlerS')
# header = 0 because the csv has the first row indicating column names, let pandas
# know that the first row is a header row
dh1.load_dataframe_from_csv(
input_directory_path='/app/data/temp/testSNTAtle.7z/testSNTAtle/',
filename='P1_atle_B_TEMP_SYNCHED_BT.csv',
header=0,
columns=[
'timestamp', 'back_x', 'back_y', 'back_z', 'thigh_x', 'thigh_y',
'thigh_z', 'btemp', 'ttemp'
])
dh1.convert_column_from_str_to_datetime(column_name='timestamp')
dh1.set_column_as_index("timestamp")
##############################
dh2.load_dataframe_from_csv(
input_directory_path='/app/data/temp/testVegar.7z/testVegar/',
filename='P1_vegar_B_TEMP_SYNCHED_BT.csv',
header=0,
columns=[
'timestamp', 'back_x', 'back_y', 'back_z', 'thigh_x', 'thigh_y',
'thigh_z', 'btemp', 'ttemp'
])
dh2.convert_column_from_str_to_datetime(column_name='timestamp')
dh2.set_column_as_index("timestamp")
#
##########
dh = DataHandler()
sub_name = data_name.split(".")[0]
input_dir = "../data/temp/xxx_x.7z/xxx_x/"
filename = "xxx_xB_xxx_x_T_timesync_output_TEMP_BT.csv"
dh.load_dataframe_from_csv(
input_directory_path=input_dir,
filename=filename,
header=0,
columns=['time', 'bx', 'by', 'bz', 'tx', 'ty', 'tz', 'btemp', 'ttemp'])
dh.convert_column_from_str_to_datetime(column_name='time')
dh.set_column_as_index("time")
# # add labels
dh.add_new_column("label")
intervals = dh.read_labels_from_json(
filepath="../data/temp/xxx_x.7z/xxx_x/xxx_x intervals.json")
dh.add_labels_file_based_on_intervals(intervals=intervals)
df = dh.get_dataframe_iterator()
print(df.head(10))
print()
print(df.dtypes)
#
# ########
# #
# # DATA INPUT FORMAT SPECIFIC DONE
# #