eland.DataFrame.std#
- DataFrame.std(numeric_only: Optional[bool] = None) Series #
Return standard deviation 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
The value of the standard deviation for each numeric column
See Also#
Examples#
>>> df = ed.DataFrame('http://localhost:9200', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"]) >>> df.std() AvgTicketPrice 266.407061 Cancelled 0.334664 dayOfWeek 1.939513 dtype: float64
>>> df.std(numeric_only=True) AvgTicketPrice 266.407061 Cancelled 0.334664 dayOfWeek 1.939513 dtype: float64
>>> df.std(numeric_only=False) AvgTicketPrice 266.407 Cancelled 0.334664 dayOfWeek 1.93951 timestamp NaT DestCountry NaN dtype: object