set_start_hour_of_day_operator¶
Operator to visualize participant ID activity per day
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class
tasrif.processing_pipeline.custom.set_start_hour_of_day_operator.SetStartHourOfDayOperator(date_feature_name, participant_identifier, shift=0, shifted_date_feature_name='shifted_time_col')¶ Operator to set start hour of the day per participant
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__init__(date_feature_name, participant_identifier, shift=0, shifted_date_feature_name='shifted_time_col')¶ Creates a new instance of SetStartHourOfDayOperator. The user will provide the hour using shift, which will make date_feature_name to start on the given hour. The operator will create a new column shifted_date_feature_name
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date_feature_name (str) – time column
participant_identifier (str) – participant identifier
shift (int) – shift in hour(s)
shifted_date_feature_name (str) – shifted column name to be created
Examples
>>> import numpy as np >>> import pandas as pd >>> from tasrif.processing_pipeline.custom import SetStartHourOfDayOperator >>> >>> # Prepare two days for two participants data >>> four_days = 48*2 >>> idx = pd.date_range("2018-01-01", periods=four_days, freq="H", name='startTime') >>> activity = np.random.randint(0, 100, four_days) >>> df = pd.DataFrame(data=activity, index=idx, columns=['activity']) >>> df['participant'] = 1 >>> df.iloc[48:, 1] = 2 >>> >>> >>> operator = SetStartHourOfDayOperator(date_feature_name='startTime', ... participant_identifier='participant', ... shift=6) >>> >>> operator.process(df)[0] activity participant shifted_time_col startTime 2018-01-01 00:00:00 83 1 2017-12-31 18:00:00 2018-01-01 01:00:00 42 1 2017-12-31 19:00:00 2018-01-01 02:00:00 79 1 2017-12-31 20:00:00 2018-01-01 03:00:00 38 1 2017-12-31 21:00:00 2018-01-01 04:00:00 60 1 2017-12-31 22:00:00 ... ... ... ... 2018-01-04 19:00:00 96 2 2018-01-04 13:00:00 2018-01-04 20:00:00 82 2 2018-01-04 14:00:00 2018-01-04 21:00:00 74 2 2018-01-04 15:00:00 2018-01-04 22:00:00 35 2 2018-01-04 16:00:00 2018-01-04 23:00:00 7 2 2018-01-04 17:00:00
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