xorbits.pandas.window.Expanding.max#
- Expanding.max()[source]#
Calculate the expanding maximum.
- Parameters
numeric_only (bool, default False (Not supported yet)) –
Include only float, int, boolean columns.
New in version 1.5.0(pandas).
engine (str, default None (Not supported yet)) –
'cython'
: Runs the operation through C-extensions from cython.'numba'
: Runs the operation through JIT compiled code from numba.None
: Defaults to'cython'
or globally settingcompute.use_numba
New in version 1.3.0(pandas).
engine_kwargs (dict, default None (Not supported yet)) –
For
'cython'
engine, there are no acceptedengine_kwargs
For
'numba'
engine, the engine can acceptnopython
,nogil
andparallel
dictionary keys. The values must either beTrue
orFalse
. The defaultengine_kwargs
for the'numba'
engine is{'nopython': True, 'nogil': False, 'parallel': False}
New in version 1.3.0(pandas).
- Returns
Return type is the same as the original object with
np.float64
dtype.- Return type
See also
pandas.Series.expanding
Calling expanding with Series data.
pandas.DataFrame.expanding
Calling expanding with DataFrames.
pandas.Series.max
Aggregating max for Series.
pandas.DataFrame.max
Aggregating max for DataFrame.
Notes
See window.numba_engine and enhancingperf.numba for extended documentation and performance considerations for the Numba engine.
Examples
>>> ser = pd.Series([3, 2, 1, 4], index=['a', 'b', 'c', 'd']) >>> ser.expanding().max() a 3.0 b 3.0 c 3.0 d 4.0 dtype: float64
This docstring was copied from pandas.core.window.expanding.Expanding.