eland.DataFrame.median

DataFrame.median(numeric_only: bool | None = None) → Series

Return the median value for each numeric column

Parameters

numeric_only: {True, False, None} Default is None

Which datatype to be returned - True: Returns all values as float64, NaN/NaT values are removed - None: Returns all values as the same dtype where possible, NaN/NaT are removed - False: Returns all values as the same dtype where possible, NaN/NaT are preserved

Returns

pandas.Series

median value for each numeric column

See Also

pandas.DataFrame.median

Examples

>>> df = ed.DataFrame('http://localhost:9200', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"])
>>> df.median()
AvgTicketPrice                          640.363
Cancelled                                 False
dayOfWeek                                     3
timestamp         2018-01-21 23:54:06.624776611
dtype: object

>>> df.median(numeric_only=True)
AvgTicketPrice    640.362667
Cancelled           0.000000
dayOfWeek           3.000000
dtype: float64

>>> df.median(numeric_only=False)
AvgTicketPrice                          640.387
Cancelled                                 False
dayOfWeek                                     3
timestamp         2018-01-21 23:54:06.624776611
DestCountry                                 NaN
dtype: object