Expanding.
mean
Calculate the expanding mean.
For NumPy compatibility and will not have an effect on the result.
'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}
Return type is the same as the original object.
See also
pandas.Series.expanding
Calling expanding with Series data.
pandas.DataFrame.expanding
Calling expanding with DataFrames.
pandas.Series.mean
Aggregating mean for Series.
pandas.DataFrame.mean
Aggregating mean for DataFrame.
Notes
See Numba engine for extended documentation and performance considerations for the Numba engine.