eland.Series.quantile#
- Series.quantile(q: Union[int, float, List[int], List[float]] = 0.5) Union[Series, Any] #
Used to calculate quantile for a given Series.
Parameters#
- q:
float or array like, default 0.5 Value between 0 <= q <= 1, the quantile(s) to compute.
Returns#
pandas.Series or any single dtype
See Also#
Examples#
>>> ed_flights = ed.DataFrame('http://localhost:9200', 'flights') >>> ed_flights["timestamp"].quantile([.2,.5,.75]) 0.20 2018-01-09 04:30:57.289159912 0.50 2018-01-21 23:39:27.031627441 0.75 2018-02-01 04:54:59.256136963 Name: timestamp, dtype: datetime64[ns]
>>> ed_flights["dayOfWeek"].quantile() 3.0
>>> ed_flights["timestamp"].quantile() Timestamp('2018-01-22 00:12:48.844534180')