xorbits.pandas.window.Expanding.min#
- Expanding.min()[source]#
Calculate the expanding minimum.
- Parameters
numeric_only (bool, default False (Not supported yet)) –
Include only float, int, boolean columns.
New in version 1.5.0.
*args –
For NumPy compatibility and will not have an effect on the result.
Deprecated since version 1.5.0.
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_numbaNew in version 1.3.0.
engine_kwargs (dict, default None (Not supported yet)) –
For
'cython'engine, there are no acceptedengine_kwargsFor
'numba'engine, the engine can acceptnopython,nogilandparalleldictionary keys. The values must either beTrueorFalse. The defaultengine_kwargsfor the'numba'engine is{'nopython': True, 'nogil': False, 'parallel': False}New in version 1.3.0.
**kwargs –
For NumPy compatibility and will not have an effect on the result.
Deprecated since version 1.5.0.
- Returns
Return type is the same as the original object with
np.float64dtype.- Return type
See also
pandas.Series.expandingCalling expanding with Series data.
pandas.DataFrame.expandingCalling expanding with DataFrames.
pandas.Series.minAggregating min for Series.
pandas.DataFrame.minAggregating min for DataFrame.
Notes
See window.numba_engine and enhancingperf.numba for extended documentation and performance considerations for the Numba engine.
This docstring was copied from pandas.core.window.expanding.Expanding.