ó
    |ñ:i@  ã                   ó¼   • S SK r S SKrSSKJr   " S S5      r\" SSSS	S
SSSS9r\" SSSSS9r\" SSSSSSSSSSSSS S!S"S#9r\" \" \5      \" \5      \" \5      S$9r	g)%é    Né   )ÚNumpyDocStringc                   ó~   • \ rS rSr\R
                  " S\R                  5      rS	S jrS r	\
S 5       r\
S 5       rSrg)
ÚDocstringComponentsé   z\n((\n|.)+)\n\s*c                 óð   • U(       aY  0 nUR                  5        HB  u  pE[        R                  " U R                  U5      nUc  XSU'   M/  UR	                  S5      X4'   MD     OUR                  5       nX0l        g)z@Read entries from a dict, optionally stripping outer whitespace.Nr   )ÚitemsÚreÚmatchÚregexpÚgroupÚcopyÚentries)ÚselfÚ	comp_dictÚstrip_whitespacer   ÚkeyÚvalÚms          ÚV/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/seaborn/_docstrings.pyÚ__init__ÚDocstringComponents.__init__
   s_   € æØˆGØ%ŸO™OÖ-‘�Ü—H’H˜TŸ[™[¨#Ó.�Ø‘9Ø#&˜C“Là#$§7¡7¨1£:�G“Lò .ð  —n‘nÓ&ˆGà�ó    c                 óŒ   • XR                   ;   a  U R                   U   $  U R                  U5      $ ! [         a  n UeSnAff = f)z7Provide dot access to entries for clean raw docstrings.N)r   Ú__getattribute__ÚAttributeError)r   ÚattrÚerrs      r   Ú__getattr__ÚDocstringComponents.__getattr__   sK   € à—<‘<ÓØ—<‘< Ñ%Ð%ðØ×,Ñ,¨TÓ2Ð2øÜ!ó 	ð Ø�Iûð	ús    1 ±
A»>¾Ac                 ó   • U " USS9$ )z$Add multiple sub-sets of components.F)r   © )ÚclsÚkwargss     r   Úfrom_nested_componentsÚ*DocstringComponents.from_nested_components+   s   € ñ �6¨EÑ2Ð2r   c                 óê   • [        [        R                  " U5      5      S   n0 nU HB  nUR                  nUR                  nSR                  UR                  5      nU SU SU 3X5'   MD     U " U5      $ )zAUse the numpydoc parser to extract components from existing func.Ú
Parametersz
    z : )r   ÚpydocÚgetdocÚnameÚtypeÚjoinÚdesc)r#   ÚfuncÚparamsr   Úpr+   r,   r.   s           r   Úfrom_function_paramsÚ(DocstringComponents.from_function_params0   ss   € ô  ¤§¢¨TÓ 2Ó3°LÑAˆØˆ	ÛˆAØ—6‘6ˆDØ—6‘6ˆDØ—=‘= §¡Ó(ˆDØ!%  c¨$¨¨v°d°VÐ<ˆI‹Oñ	 ñ �9‹~Ðr   )r   N)T)Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__r
   ÚcompileÚ	MULTILINEr   r   r   Úclassmethodr%   r2   Ú__static_attributes__r"   r   r   r   r      sI   † à�ZŠZÐ+¨R¯\©\Ó:€Fôòð$ ñ3ó ð3ð ñ
ó ó
r   r   a   
data : :class:`pandas.DataFrame`, :class:`numpy.ndarray`, mapping, or sequence
    Input data structure. Either a long-form collection of vectors that can be
    assigned to named variables or a wide-form dataset that will be internally
    reshaped.
    zb
x, y : vectors or keys in ``data``
    Variables that specify positions on the x and y axes.
    zs
hue : vector or key in ``data``
    Semantic variable that is mapped to determine the color of plot elements.
    a2  
palette : string, list, dict, or :class:`matplotlib.colors.Colormap`
    Method for choosing the colors to use when mapping the ``hue`` semantic.
    String values are passed to :func:`color_palette`. List or dict values
    imply categorical mapping, while a colormap object implies numeric mapping.
    zˆ
hue_order : vector of strings
    Specify the order of processing and plotting for categorical levels of the
    ``hue`` semantic.
    zó
hue_norm : tuple or :class:`matplotlib.colors.Normalize`
    Either a pair of values that set the normalization range in data units
    or an object that will map from data units into a [0, 1] interval. Usage
    implies numeric mapping.
    zÇ
color : :mod:`matplotlib color <matplotlib.colors>`
    Single color specification for when hue mapping is not used. Otherwise, the
    plot will try to hook into the matplotlib property cycle.
    zŠ
ax : :class:`matplotlib.axes.Axes`
    Pre-existing axes for the plot. Otherwise, call :func:`matplotlib.pyplot.gca`
    internally.
    )ÚdataÚxyÚhueÚpaletteÚ	hue_orderÚhue_normÚcolorÚaxzP
:class:`matplotlib.axes.Axes`
    The matplotlib axes containing the plot.
    z²
:class:`FacetGrid`
    An object managing one or more subplots that correspond to conditional data
    subsets with convenient methods for batch-setting of axes attributes.
    z§
:class:`JointGrid`
    An object managing multiple subplots that correspond to joint and marginal axes
    for plotting a bivariate relationship or distribution.
    z­
:class:`PairGrid`
    An object managing multiple subplots that correspond to joint and marginal axes
    for pairwise combinations of multiple variables in a dataset.
    )rC   Ú	facetgridÚ	jointgridÚpairgridz+
scatterplot : Plot data using points.
    z'
lineplot : Plot data using lines.
    zF
displot : Figure-level interface to distribution plot functions.
    z\
histplot : Plot a histogram of binned counts with optional normalization or smoothing.
    z[
kdeplot : Plot univariate or bivariate distributions using kernel density estimation.
    zB
ecdfplot : Plot empirical cumulative distribution functions.
    zP
rugplot : Plot a tick at each observation value along the x and/or y axes.
    z9
stripplot : Plot a categorical scatter with jitter.
    zI
swarmplot : Plot a categorical scatter with non-overlapping points.
    zL
violinplot : Draw an enhanced boxplot using kernel density estimation.
    zG
pointplot : Plot point estimates and CIs using markers and lines.
    zO
jointplot : Draw a bivariate plot with univariate marginal distributions.
    zW
jointplot : Draw multiple bivariate plots with univariate marginal distributions.
    zR
JointGrid : Set up a figure with joint and marginal views on bivariate data.
    zU
PairGrid : Set up a figure with joint and marginal views on multiple variables.
    )ÚscatterplotÚlineplotÚdisplotÚhistplotÚkdeplotÚecdfplotÚrugplotÚ	stripplotÚ	swarmplotÚ
violinplotÚ	pointplotÚ	jointplotÚpairplotrE   rF   )r0   ÚreturnsÚseealso)
r
   r)   Úexternal.docscraper   r   ÚdictÚ_core_paramsÚ_core_returnsÚ_seealso_blurbsÚ
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