Rolling.
median
Calculate the rolling median.
'cython' : Runs the operation through C-extensions from cython.
'cython'
'numba' : Runs the operation through JIT compiled code from numba.
'numba'
None : Defaults to 'cython' or globally setting compute.use_numba
None
compute.use_numba
New in version 1.3.0.
For 'cython' engine, there are no accepted engine_kwargs
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}
nopython
nogil
parallel
True
False
{'nopython': True, 'nogil': False, 'parallel': False}
For NumPy compatibility and will not have an effect on the result.
Return type is the same as the original object.
See also
pandas.Series.rolling
Calling rolling with Series data.
pandas.DataFrame.rolling
Calling rolling with DataFrames.
pandas.Series.median
Aggregating median for Series.
pandas.DataFrame.median
Aggregating median for DataFrame.
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