eland.DataFrame.mean

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

返回每个数字列的平均值

TODO - 实现其余的 pandas 参数，目前不支持非数字

参数

numeric_only: {True, False, None} 默认值为 None

返回哪种数据类型 - True: 返回所有值作为 float64，删除 NaN/NaT 值 - None: 尽可能返回所有值作为相同的数据类型，删除 NaN/NaT - False: 尽可能返回所有值作为相同的数据类型，保留 NaN/NaT

返回值

pandas.Series

每个数字列的平均值

另请参阅

pandas.DataFrame.mean

示例

>>> df = ed.DataFrame('http://localhost:9200', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"])
>>> df.mean()  
AvgTicketPrice                          628.254
Cancelled                              0.128494
dayOfWeek                               2.83598
timestamp         2018-01-21 19:20:45.564438232
dtype: object

>>> df.mean(numeric_only=True)
AvgTicketPrice    628.253689
Cancelled           0.128494
dayOfWeek           2.835975
dtype: float64

>>> df.mean(numeric_only=False)  
AvgTicketPrice                          628.254
Cancelled                              0.128494
dayOfWeek                               2.83598
timestamp         2018-01-21 19:20:45.564438232
DestCountry                                 NaN
dtype: object