pandas.core.window.rolling.Rolling.median¶

Rolling.median(engine=None, engine_kwargs=None, **kwargs)[source]¶

Calculate the rolling median.

Parameters

enginestr, default None

'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 setting compute.use_numba

New in version 1.3.0.

engine_kwargsdict, default None

For 'cython' engine, there are no accepted engine_kwargs
For 'numba' engine, the engine can accept nopython, nogil and parallel dictionary keys. The values must either be True or False. The default engine_kwargs for 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.

Returns

See also

Notes

See Numba engine for extended documentation and performance considerations for the Numba engine.

Examples

Compute the rolling median of a series with a window size of 3.

>>> s = pd.Series([0, 1, 2, 3, 4])
>>> s.rolling(3).median()
0    NaN
1    NaN
2    1.0
3    2.0
4    3.0
dtype: float64