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_api_docs:`pandas.DataFrame.std`

Examples

>>> from tests import OPENSEARCH_TEST_CLIENT

>>> df = oml.DataFrame(OPENSEARCH_TEST_CLIENT, '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