featuretools.primitives.IsYearStart#

class featuretools.primitives.IsYearStart[source]#

Determines if a date falls on the start of a year.

Examples

>>> import numpy as np
>>> from datetime import datetime
>>> dates = [datetime(2019, 12, 31),
...          datetime(2019, 1, 1),
...          datetime(2019, 11, 30),
...          np.nan]
>>> is_year_start = IsYearStart()
>>> is_year_start(dates).tolist()
[False, True, False, False]

__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`
`compatibility`	Additional compatible libraries
`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
`series_library`
`stack_on`
`stack_on_exclude`
`stack_on_self`
`uses_calc_time`
`uses_full_dataframe`