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Fix to correct dtypes.

notes
Primoz 2022-10-26 09:59:46 +00:00
parent 6ab0ac5329
commit 14ff59914b
4 changed files with 5 additions and 5 deletions
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4
src/features/empatica_accelerometer/cr/main.py
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@ -44,8 +44,8 @@ def extract_acc_features_from_intraday_data(acc_intraday_data, features, window_
def cr_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'double_values_0': int,
'double_values_1': int, 'double_values_2': int, 'local_date_time': 'str', 'local_date': "str",
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'double_values_0': 'float64',
'double_values_1': 'float64', 'double_values_2': 'float64', 'local_date_time': 'str', 'local_date': "str",
'local_time': "str", 'local_hour': "str", 'local_minute': "str", 'assigned_segments': "str"}
acc_intraday_data = pd.read_csv(sensor_data_files["sensor_data"], dtype=data_types)

2
src/features/empatica_electrodermal_activity/cr/main.py
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@ -45,7 +45,7 @@ def extract_eda_features_from_intraday_data(eda_intraday_data, features, window_
def cr_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'electrodermal_activity': int, 'local_date_time': 'str',
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'electrodermal_activity': 'float64', 'local_date_time': 'str',
'local_date': "str", 'local_time': "str", 'local_hour': "str", 'local_minute': "str", 'assigned_segments': "str"}
eda_intraday_data = pd.read_csv(sensor_data_files["sensor_data"], dtype=data_types)

2
src/features/empatica_inter_beat_interval/cr/main.py
View File

@ -51,7 +51,7 @@ def extract_ibi_features_from_intraday_data(ibi_intraday_data, features, window_
def cr_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'inter_beat_interval': int, 'timings': 'int64', 'local_date_time': 'str',
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'inter_beat_interval': 'float64', 'timings': 'float64', 'local_date_time': 'str',
'local_date': "str", 'local_time': "str", 'local_hour': "str", 'local_minute': "str", 'assigned_segments': "str"}
temperature_intraday_data = pd.read_csv(sensor_data_files["sensor_data"], dtype=data_types)

2
src/features/empatica_temperature/cr/main.py
View File

@ -37,7 +37,7 @@ def extract_temp_features_from_intraday_data(temperature_intraday_data, features
def cr_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'temperature': int, 'local_date_time': 'str',
data_types = {'local_timezone': 'str', 'device_id': 'str', 'timestamp': 'int64', 'temperature': 'float64', 'local_date_time': 'str',
'local_date': "str", 'local_time': "str", 'local_hour': "str", 'local_minute': "str", 'assigned_segments': "str"}
temperature_intraday_data = pd.read_csv(sensor_data_files["sensor_data"], dtype=data_types)