输出结果
type： <class 'pandas.core.frame.DataFrame'>
customer_id zip_code join_date date_of_birth
0 1 60091 2011-04-17 10:48:33 1994-07-18
1 2 13244 2012-04-15 23:31:04 1986-08-18
2 3 13244 2011-08-13 15:42:34 2003-11-21
3 4 60091 2011-04-08 20:08:14 2006-08-15
4 5 60091 2010-07-17 05:27:50 1984-07-28
feature_matrix_customers
zip_code DAY(date_of_birth) DAY(join_date) \
customer_id
1 60091 18 17
2 13244 18 15
3 13244 21 13
MONTH(date_of_birth) MONTH(join_date) WEEKDAY(date_of_birth) \
customer_id
1 7 4 0
2 8 4 0
3 11 8 4
WEEKDAY(join_date) YEAR(date_of_birth) YEAR(join_date)
customer_id
1 6 1994 2011
2 6 1986 2012
3 5 2003 2011
features_defs_customers： 9 [<Feature: zip_code>, <Feature: DAY(date_of_birth)>, <Feature: DAY(join_date)>, <Feature: MONTH(date_of_birth)>, <Feature: MONTH(join_date)>, <Feature: WEEKDAY(date_of_birth)>, <Feature: WEEKDAY(join_date)>, <Feature: YEAR(date_of_birth)>, <Feature: YEAR(join_date)>]
<Feature: MONTH(date_of_birth)>
The month of the "date_of_birth".