eland.DataFrame.mad

DataFrame.mad(numeric_only: bool = True) → Series

Return standard deviation for each numeric column

Returns

pandas.Series

The value of the standard deviation for each numeric column

See Also

pandas.DataFrame.std

Examples

>>> df = ed.DataFrame('http://localhost:9200', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"])
>>> df.mad() 
AvgTicketPrice    213.35497
dayOfWeek           2.00000
dtype: float64

>>> df.mad(numeric_only=True) 
AvgTicketPrice    213.473011
dayOfWeek           2.000000
dtype: float64

>>> df.mad(numeric_only=False) 
AvgTicketPrice    213.484
Cancelled             NaN
dayOfWeek               2
timestamp             NaT
DestCountry           NaN
dtype: object