eland.Series.mode

Series.mode(es_size: int = 10) → pandas.core.series.Series

Calculate mode of a series

Parameters

es_size: default 10

number of rows to be returned if mode has multiple values

See also

pandas.Series.mode

Examples

>>> ed_ecommerce = ed.DataFrame('localhost', 'ecommerce')
>>> ed_ecommerce["day_of_week"].mode()
0    Thursday
dtype: object

>>> ed_ecommerce["order_date"].mode()
0   2016-12-02 20:36:58
1   2016-12-04 23:44:10
2   2016-12-08 06:21:36
3   2016-12-08 09:38:53
4   2016-12-12 11:38:24
5   2016-12-12 19:46:34
6   2016-12-14 18:00:00
7   2016-12-15 11:38:24
8   2016-12-22 19:39:22
9   2016-12-24 06:21:36
dtype: datetime64[ns]

>>> ed_ecommerce["order_date"].mode(es_size=3)
0   2016-12-02 20:36:58
1   2016-12-04 23:44:10
2   2016-12-08 06:21:36
dtype: datetime64[ns]

eland.Series.value_counts eland.Series.quantile