DataFrame.max

DataFrame.max(numeric_only: bool | None = None) → 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

:pandas_api_docs:`pandas.DataFrame.max`

Examples

>>> from tests import OPENSEARCH_TEST_CLIENT

>>> df = oml.DataFrame(OPENSEARCH_TEST_CLIENT, 'flights', columns=["AvgTicketPrice", "Cancelled", "dayOfWeek", "timestamp", "DestCountry"])
>>> df.max()  
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)  
AvgTicketPrice                1199.73
Cancelled                        True
dayOfWeek                           6
timestamp         2018-02-11 23:50:12
DestCountry                       NaN
dtype: object