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« ZdZdddZy)z<Any shareable docstring components for rolling/expanding/ewmé )Ú annotations)Údedent)Ú _shared_docsc ó* | ddt | « z dS )z Create numpydoc section headerú
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ú-)Úlen)Úheaders úIH:\Change_password\venv_build\Lib\site-packages\pandas/core/window/doc.pyÚcreate_section_headerr s àXRc &kÑ)Ð*¨"Ð -Ð-ó z;
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Calculate the {window_method} {aggregation_description}.
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zp
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Series or DataFrame
|
Return type is the same as the original object with ``np.float64`` dtype.
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r Ú é a6
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pandas.Series.{window_method} : Calling {window_method} with Series data.
|
pandas.DataFrame.{window_method} : Calling {window_method} with DataFrames.
|
pandas.Series.{agg_method} : Aggregating {agg_method} for Series.
|
pandas.DataFrame.{agg_method} : Aggregating {agg_method} for DataFrame.
|
|
z
|
numeric_only : bool, default False
|
Include only float, int, boolean columns.
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|
.. versionadded:: 1.5.0
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z^
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**kwargs
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Keyword arguments to configure the ``SciPy`` weighted window type.
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a/
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func : function
|
Must produce a single value from an ndarray input if ``raw=True``
|
or a single value from a Series if ``raw=False``. Can also accept a
|
Numba JIT function with ``engine='numba'`` specified.
|
|
raw : bool, default False
|
* ``False`` : passes each row or column as a Series to the
|
function.
|
* ``True`` : the passed function will receive ndarray
|
objects instead.
|
If you are just applying a NumPy reduction function this will
|
achieve much better performance.
|
|
engine : str, default None
|
* ``'cython'`` : Runs rolling apply through C-extensions from cython.
|
* ``'numba'`` : Runs rolling apply through JIT compiled code from numba.
|
Only available when ``raw`` is set to ``True``.
|
* ``None`` : Defaults to ``'cython'`` or globally setting ``compute.use_numba``
|
|
engine_kwargs : dict, 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}}`` and will be
|
applied to both the ``func`` and the ``apply`` rolling aggregation.
|
|
args : tuple, default None
|
Positional arguments to be passed into func.
|
|
kwargs : dict, default None
|
Keyword arguments to be passed into func.
|
|
zSee :ref:`window.numba_engine` and :ref:`enhancingperf.numba` for extended documentation and performance considerations for the Numba engine.
|
|
c óZ t d« j ddd« j d| « S )Na
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engine : str, default None
|
* ``'cython'`` : Runs the operation through C-extensions from cython.
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* ``'numba'`` : Runs the operation through JIT compiled code from numba.
|
* ``None`` : Defaults to ``'cython'`` or globally setting ``compute.use_numba``
|
|
.. versionadded:: {version}.0
|
|
engine_kwargs : dict, 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}}``
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.. versionadded:: {version}.0
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r r r z {version})r Úreplace)Úversions r Úwindow_agg_numba_parametersr ] s0 äð ó
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