eland.DataFrame.median

DataFrame.median(numeric_only: Optional[bool] = None) → Series

返回每个数字列的中位数

参数

numeric_only: {True, False, None} 默认为 None

要返回的数据类型 - True: 将所有值返回为 float64，NaN/NaT 值将被移除 - None: 尽可能将所有值返回为相同的数据类型，NaN/NaT 将被移除 - False: 尽可能将所有值返回为相同的数据类型，NaN/NaT 将被保留

返回值

pandas.Series

每个数字列的中位数

另请参见

pandas.DataFrame.median

示例

>>> 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