featuretools.primitives.FullNameToFirstName#

class featuretools.primitives.FullNameToFirstName[source]#

Determines the first name from a person’s name.

Description:: Given a list of names, determines the first name. If only a single name is provided, assume this is a first name. If only a title and a single name is provided return nan. This assumes all titles will be followed by a period. Please note, in the current implementation, last names containing spaces may result in improper first name matches.

Examples

>>> full_name_to_first_name = FullNameToFirstName()
>>> names = ['Woolf Spector', 'Oliva y Ocana, Dona. Fermina',
...          'Ware, Mr. Frederick', 'Peter, Michael J', 'Mr. Brown']
>>> full_name_to_first_name(names).to_list()
['Woolf', 'Oliva', 'Frederick', 'Michael', nan]

__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`