uj+dZddlmZddlmZmZddlmZmZddl Z ddl Z ddl m Z ddlmZddlmZdd lmZmZdd lmZmZmZdd lmZdd lmZdd lmZerddlm Z m!Z!m"Z"ddl#m$Z$m%Z%m&Z&ddl'm(Z(m)Z) ddZ*GddeZ+Gdde+Z,Gdde+Z-ddZ.d dZ/ d!dZ0d"dZ1 d#dZ2 d$dZ3y)%z Module responsible for execution of NDFrame.describe() method. Method NDFrame.describe() delegates actual execution to function describe_ndframe(). ) annotations)ABCabstractmethod) TYPE_CHECKINGcastN)Pandas4Warning)find_stack_level)validate_percentile) is_bool_dtypeis_numeric_dtype) ArrowDtypeDatetimeTZDtypeExtensionDtype) Float64Dtype)concat)format_percentiles)CallableHashableSequence)DtypeObjNDFrameTnpt) DataFrameSeriesc t|}|jdk(r?||$tjdtt t td|}nttd|||}|j|}td |S) a Describe series or dataframe. Called from pandas.core.generic.NDFrame.describe() Parameters ---------- obj: DataFrame or Series Either dataframe or series to be described. include : 'all', list-like of dtypes or None (default), optional A white list of data types to include in the result. Ignored for ``Series``. exclude : list-like of dtypes or None (default), optional, A black list of data types to omit from the result. Ignored for ``Series``. percentiles : list-like of numbers, optional The percentiles to include in the output. All should fall between 0 and 1. The default is ``[.25, .5, .75]``, which returns the 25th, 50th, and 75th percentiles. Returns ------- Dataframe or series description. zThe 'include' and 'exclude' arguments are deprecated for Series.describe and will be removed in a future version. These arguments have no effect on Series and will be removed.) stacklevelrobjr)rincludeexclude) percentilesr) _refine_percentilesndimwarningswarnrr SeriesDescriberrDataFrameDescriberdescribe)rr r!r" describerresults g/var/www/html/python-recuperauto-other/env/lib/python3.12/site-packages/pandas/core/methods/describe.pydescribe_ndframer-;s8&k2K xx1}  '"5 MMP+-  $Xs# '[#&   K  8F  F ##c*eZdZdZddZeddZy)NDFrameDescriberAbstractzAbstract class for describing dataframe or series. Parameters ---------- obj : Series or DataFrame Object to be described. c||_yNr)selfrs r,__init__z!NDFrameDescriberAbstract.__init__{s r.cy)zDo describe either series or dataframe. Parameters ---------- percentiles : list-like of numbers The percentiles to include in the output. N)r3r"s r,r)z!NDFrameDescriberAbstract.describe~sr.N)rDataFrame | SeriesreturnNone)r"Sequence[float] | np.ndarrayr8r7)__name__ __module__ __qualname____doc__r4rr)r6r.r,r0r0rs   r.r0c$eZdZUdZded<ddZy)r'z2Class responsible for creating series description.rrcRt|j}||j|Sr2)select_describe_funcr)r3r" describe_funcs r,r)zSeriesDescriber.describes&, HH TXX{33r.N)r"r:r8r)r;r<r=r>__annotations__r)r6r.r,r'r's< K4r.r'cPeZdZUdZded< dfd ZddZd dZxZS) r(abClass responsible for creating dataobj description. Parameters ---------- obj : DataFrame DataFrame to be described. include : 'all', list-like of dtypes or None A white list of data types to include in the result. exclude : list-like of dtypes or None A black list of data types to omit from the result. rrc||_||_|jdk(r$|jjdk(r t dt ||y)Nrz+Cannot describe a DataFrame without columns)r r!r$columnssize ValueErrorsuperr4)r3rr r! __class__s r,r4zDataFrameDescriber.__init__sH  88q=S[[--2JK K r.c0|j}g}|jD](\}}t|}|j|||*t |}t |dddj |}|jj|_|S)NrTF)axis ignore_indexsort) _select_dataitemsrAappendreorder_columnsrreindexrGcopy) r3r"dataldesc_seriesrB col_namesds r,r)zDataFrameDescriber.describes  "  =IAv08M LLv{; < =$E* 5qt% @ H H SLL%%' r.c*|j`|jTtjdg}|jj |}t |jdk(r |j}|St|jtr6|jdk(r'|j d}t||j}|S|jj |j|j}t |jdk(r d}t||S)zSelect columns to be described.datetime)r rallz*exclude must be None when include is 'all')r r!zrCr4r)rP __classcell__)rKs@r,r(r(sD  N   ,  ,    r.r(cg}t}td|Dt}|D]0}|D])}||vs|j||j |+2|S)z,Set a convenient order for rows for display.c34K|]}|jywr2)index).0xs r, z"reorder_columns..s3AGG3s)key)setsortedrbaddrR)rWnames seen_names ldesc_indexesidxnamesnames r,rSrSseE #J3U3=M!# #D:%t$ T" ## Lr.cddlm}t|}t|dk(rg}n|j |j }ddddg|d}|j |j|j|jg||j}t|jtr_t|jtr:|jjdk(rd }nYdd l}t|j#}n;t%}n0|jjd vrt'jd }nd }||||j(| S) zDescribe series containing numerical data. Parameters ---------- series : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. rrcountmeanstdminmaxmNiufbfloatrkrwdtype)pandasrrrbquantiletolistrzr{r|r}r~rcrrr kindpyarrowfloat64rr_rw) rYr"rformatted_percentiles quantiles stat_indexr[rpas r,describe_numeric_1drs".{; ;1 OOK0779 65%O2GOOJ           A&,,/ fllJ /||  C'$"2::<0 NE   f $! !:FKKu EEr.c<gd}|j}t||dk7}|dkDr!|jd|jd}}d}n"tj tj }}d}|j |||g}ddlm} | |||j|S)zDescribe series containing categorical data. Parameters ---------- data : Series Series to be described. percentiles_ignored : list-like of numbers Ignored, but in place to unify interface. )rzuniquetopfreqrNobjectryr) value_countsrbrkilocr_nanrzrrrw) rVpercentiles_ignoredrs objcounts count_uniquerrrr+rs r,describe_categorical_1drs /E!!#Iya01LaOOA& q(9TFFBFFTjjlL#t 4F &DIIU CCr.cddlm}t|}dddg|d}|j|j |j g|j |j|j}||||jS)zDescribe series containing datetime64 dtype. Parameters ---------- data : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. rryrzr{r}r~)rkrw) rrrrzr{r}rrr~rw)rVr"rrrr[s r,describe_timestamp_1dr7s.{;65H+@H%HJ      { # * * ,     A !:DII 66r.ct|jrtSt|rtS|jj dk(st |jtrtS|jj dk(rtStS)zSelect proper function for describing series based on data type. Parameters ---------- data : Series Series to be described. Mr) r rrr rrrcrr)rVs r,rArAQscTZZ && $ "" C :djj/#J$$ C ""&&r.c|tjgdStj|}t|tj|}|Jt |t |kr t d|S)z Ensure that percentiles are unique and sorted. Parameters ---------- percentiles : list-like of numbers, optional The percentiles to include in the output. )g?g?g?z%percentiles cannot contain duplicates)r_arrayasarrayr rrbrI)r" unique_pctss r,r#r#gsrxx)****[)K $))K(K  "" " ;#k**@AA r.) rrr rgr!rgr"#Sequence[float] | np.ndarray | Noner8r)rWzSequence[Series]r8zlist[Hashable])rYrr"Sequence[float]r8r)rVrrrr8r)rVrr"rr8r)rVrr8zCallable[..., Series])r"rr8znpt.NDArray[np.float64])4r> __future__rabcrrtypingrrr%numpyr_ pandas.errorsrpandas.util._exceptionsr pandas.util._validatorsr pandas.core.dtypes.commonr r pandas.core.dtypes.dtypesr rrpandas.core.arrays.floatingrpandas.core.reshape.concatrpandas.io.formats.formatrcollections.abcrrrpandas._typingrrrrrrr-r0r'r(rSrrrrAr#r6r.r,rs #(47 5-7   4$ 4$(4$( 4$ 5 4$  4$n s . 4. 4A1AH .FbD D(D D@74' '',4r.