eland.DataFrame.max¶
-
DataFrame.max(numeric_only: Optional[bool] = None) → pandas.core.series.Series¶ Return the maximum 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
max value for each numeric column
See also
Examples
>>> df = ed.DataFrame('localhost', 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"]) >>> df.max() # doctest: +SKIP AvgTicketPrice 1199.73 Cancelled True dayOfWeek 6 timestamp 2018-02-11 23:50:12 dtype: object
>>> df.max(numeric_only=True) AvgTicketPrice 1199.729004 Cancelled 1.000000 dayOfWeek 6.000000 dtype: float64
>>> df.max(numeric_only=False) # doctest: +SKIP AvgTicketPrice 1199.73 Cancelled True dayOfWeek 6 timestamp 2018-02-11 23:50:12 DestCountry NaN dtype: object