eland.DataFrame.mad¶
-
DataFrame.mad(numeric_only: bool = True) → pandas.core.series.Series¶ Return standard deviation for each numeric column
- Returns
- pandas.Series
The value of the standard deviation for each numeric column
See also
Examples
>>> df = ed.DataFrame('localhost', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"]) >>> df.mad() # doctest: +SKIP AvgTicketPrice 213.35497 dayOfWeek 2.00000 dtype: float64
>>> df.mad(numeric_only=True) # doctest: +SKIP AvgTicketPrice 213.473011 dayOfWeek 2.000000 dtype: float64
>>> df.mad(numeric_only=False) # doctest: +SKIP AvgTicketPrice 213.484 Cancelled NaN dayOfWeek 2 timestamp NaT DestCountry NaN dtype: object