featuretools.primitives.CumulativeTimeSinceLastFalse#
- class featuretools.primitives.CumulativeTimeSinceLastFalse[source]#
- Determines the time since last False value. - Description:
- Given a list of booleans and a list of corresponding datetimes, determine the time at each point since the last False value. Returns time difference in seconds. NaN values are ignored. 
 - Examples - >>> from datetime import datetime >>> cumulative_time_since_last_false = CumulativeTimeSinceLastFalse() >>> booleans = [False, True, False, True] >>> datetimes = [ ... datetime(2011, 4, 9, 10, 30, 0), ... datetime(2011, 4, 9, 10, 30, 10), ... datetime(2011, 4, 9, 10, 30, 15), ... datetime(2011, 4, 9, 10, 30, 29) ... ] >>> cumulative_time_since_last_false(datetimes, booleans).tolist() [0.0, 10.0, 0.0, 14.0] - __init__()#
 - Methods - __init__()- flatten_nested_input_types(input_types)- Flattens nested column schema inputs into a single list. - generate_name(base_feature_names)- generate_names(base_feature_names)- get_args_string()- get_arguments()- get_description(input_column_descriptions[, ...])- get_filepath(filename)- get_function()- Attributes - base_of- base_of_exclude- commutative- default_value- Default value this feature returns if no data found. - description_template- input_types- woodwork.ColumnSchema types of inputs - max_stack_depth- name- Name of the primitive - number_output_features- Number of columns in feature matrix associated with this feature - return_type- ColumnSchema type of return - stack_on- stack_on_exclude- stack_on_self- uses_calc_time- uses_full_dataframe