featuretools.primitives.Season#

class featuretools.primitives.Season[source]#

Determines the season of a given datetime.: Returns winter, spring, summer, or fall. This only works for northern hemisphere.
Description:: Given a list of datetimes, return the season of each one (winter, spring, summer, or fall).

Examples

>>> from datetime import datetime
>>> times = [datetime(2019, 1, 1),
...          datetime(2019, 4, 15),
...          datetime(2019, 7, 20),
...          datetime(2019, 12, 30)]
>>> season = Season()
>>> season(times).tolist()
['winter', 'spring', 'summer', 'winter']

__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`