a Sic@@sddlZddlZddlmZGdddZedddd d d d d dZedddddZeddddddddddddd d!d"d#Zeeeeeeed$Z dS)%N)NumpyDocStringc@sDeZdZedejZd ddZddZe ddZ e d d Z d S) DocstringComponentsz\n((\n|.)+)\n\s*TcCs\|rJi}|D]6\}}t|j|}|dur8|||<q|d||<qn|}||_dS)z@Read entries from a dict, optionally stripping outer whitespace.Nr)itemsrematchregexpgroupcopyentries)self comp_dictstrip_whitespacer keyvalmrO/var/www/html/django/DPS/env/lib/python3.9/site-packages/seaborn/_docstrings.py__init__ s zDocstringComponents.__init__c CsN||jvr|j|Sz ||WStyH}z|WYd}~n d}~00dS)z7Provide dot access to entries for clean raw docstrings.N)r __getattribute__AttributeError)r attrerrrrr __getattr__s   zDocstringComponents.__getattr__cKs ||ddS)z$Add multiple sub-sets of components.F)rr)clskwargsrrrfrom_nested_components+sz*DocstringComponents.from_nested_componentscCsXtt|d}i}|D]4}|j}|j}d|j}|d|d|||<q||S)zAUse the numpydoc parser to extract components from existing func. Parametersz z : )rpydocgetdocnametypejoindesc)rfuncparamsr pr r!r#rrrfrom_function_params0s z(DocstringComponents.from_function_paramsN)T) __name__ __module__ __qualname__rcompile MULTILINErrr classmethodrr'rrrrrs  ra 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. z hue_order : vector of strings Specify the order of processing and plotting for categorical levels of the ``hue`` semantic. z 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. z color : :mod:`matplotlib color ` Single color specification for when hue mapping is not used. Otherwise, the plot will try to hook into the matplotlib property cycle. z ax : :class:`matplotlib.axes.Axes` Pre-existing axes for the plot. Otherwise, call :func:`matplotlib.pyplot.gca` internally. )dataxyhuepalette hue_orderhue_normcoloraxzP :class:`matplotlib.axes.Axes` The matplotlib axes containing the plot. z :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. )r5Z facetgrid jointgridpairgridz+ 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. ) scatterplotlineplotZdisplothistplotkdeplotZecdfplotZrugplotZ stripplotZ swarmplot violinplotZ pointplot jointplotpairplotr6r7)r%returnsseealso) rrZexternal.docscraperrdictZ _core_paramsZ _core_returnsZ_seealso_blurbs _core_docsrrrrsR ?-9