eland.DataFrame.mean¶
-
DataFrame.mean(numeric_only: Optional[bool] = None) → pandas.core.series.Series¶ Return mean value for each numeric column
TODO - implement remainder of pandas arguments, currently non-numerics are not supported
- 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
mean value for each numeric column
See also
Examples
>>> df = ed.DataFrame('localhost', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"]) >>> df.mean() # doctest: +SKIP 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) # doctest: +SKIP AvgTicketPrice 628.254 Cancelled 0.128494 dayOfWeek 2.83598 timestamp 2018-01-21 19:20:45.564438232 DestCountry NaN dtype: object