hMhdddlmZddlmZddlmZmZddlZddlm Z ddl m Z ddl m Z ddlmZdd lmZmZdd lmZeGd d eZeGd deZeGddeZdS)) annotations) dataclass)ClassVarCallableN) DataFrame)Scale)GroupBy)Stat)EstimateAggregatorWeightedAggregator)Vectorc8eZdZUdZdZded<dZded<ddZdS)Agga` Aggregate data along the value axis using given method. Parameters ---------- func : str or callable Name of a :class:`pandas.Series` method or a vector -> scalar function. See Also -------- objects.Est : Aggregation with error bars. Examples -------- .. include:: ../docstrings/objects.Agg.rst meanstr | Callable[[Vector], float]funcTClassVar[bool]group_by_orientdatargroupbyr orientstrscalesdict[str, Scale]returncddd|}||||ji|gd}|S)NyxrrsubsetTdrop)getaggrdropna reset_index)selfrrrrvarress Z/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/seaborn/_stats/aggregation.py__call__z Agg.__call__)sdc""&&v..  STY' ( ( VC5V ! ! [d[ # #  N rrrr rrrrrr)__name__ __module__ __qualname____doc__r__annotations__rr,r-r+rrsX"-3D2222&*O****      r-rcjeZdZUdZdZded<dZded<dZd ed <d Zd ed <dZ ded<ddZ d dZ d S)!Esta, Calculate a point estimate and error bar interval. For more information about the various `errorbar` choices, see the :doc:`errorbar tutorial `. Additional variables: - **weight**: When passed to a layer that uses this stat, a weighted estimate will be computed. Note that use of weights currently limits the choice of function and error bar method to `"mean"` and `"ci"`, respectively. Parameters ---------- func : str or callable Name of a :class:`numpy.ndarray` method or a vector -> scalar function. errorbar : str, (str, float) tuple, or callable Name of errorbar method (one of "ci", "pi", "se" or "sd"), or a tuple with a method name ane a level parameter, or a function that maps from a vector to a (min, max) interval. n_boot : int Number of bootstrap samples to draw for "ci" errorbars. seed : int Seed for the PRNG used to draw bootstrap samples. Examples -------- .. include:: ../docstrings/objects.Est.rst rrr)ci_zstr | tuple[str, float]errorbariintn_bootNz int | NoneseedTrrrrr)r estimatorr rcD|||}tj|gSN)pdr)r(rr)r=r*s r+_processz Est._process^s' ic""|SE"""r-rr rrrc|j|jd}d|vrt|j|jfi|}nt |j|jfi|}ddd|}|||j|||g d}| |d |||d ||i}|S) N)r;r<weightrrrr Tr"minmax) r;r<r rr9r applyrAr&r'fillna) r(rrrrboot_kwsenginer)r*s r+r,z Est.__call__fs#k49== t  ' 4=MMHMMFF' 4=MMHMMFc""6*  U4V 4 4 VC5V ! ! [d[ # # jjS+++s3xCc#hGHH r-)rrr)rr=r rrr.) r/r0r1r2rr3r9r;r<rrAr,r4r-r+r6r67s<-3D2222(2H2222FD&*O****####r-r6ceZdZ dZdS)RollingcdSr?r4)r(rrrrs r+r,zRolling.__call__s r-N)r/r0r1r,r4r-r+rKrK}s&     r-rK) __future__r dataclassesrtypingrrpandasr@rseaborn._core.scalesrseaborn._core.groupbyr seaborn._stats.baser seaborn._statisticsr r seaborn._core.typingr rr6rKr4r-r+rVs""""""!!!!!!%%%%%%%%&&&&&&))))))$$$$$$(''''' !!!!!$!! !H BBBBB$BB BJ      d      r-