Mh.SrSSKJr SSKJrJr SSKJrJrJ r SSK r SSK J r SSKJrJrJr SSKJr SS KJrJr SS KJrJrJr SS KJr SS KJr SS KJ r \(aSSK!J"r"J#r# SSK$J%r%J&r& SSjr'"SS\5r("SS\(5r)"SS\(5r*SSjr+S Sjr,S!Sjr-S!Sjr.S"Sjr/S#Sjr0S$Sjr1g)%z Module responsible for execution of NDFrame.describe() method. Method NDFrame.describe() delegates actual execution to function describe_ndframe(). ) annotations)ABCabstractmethod) TYPE_CHECKINGCallablecastN) Timestamp)DtypeObjNDFrameTnpt)validate_percentile) is_bool_dtypeis_numeric_dtype) ArrowDtypeDatetimeTZDtypeExtensionDtype) Float64Dtype)concat)format_percentiles)HashableSequence) DataFrameSeriesc[U5nURS:Xa[[SU5S9nO[ [SU5UUS9nUR US9n[[ U5$)aDescribe 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. robjr)rincludeexclude) percentiles)_refine_percentilesndimSeriesDescriberrDataFrameDescriberdescriber )rrrr describerresults N/var/www/html/env/lib/python3.13/site-packages/pandas/core/methods/describe.pydescribe_ndframer)7sm8&k2K xx1}#Xs# '[#&   K  8F & !!c6\rSrSrSrSSjr\SSj5rSrg) NDFrameDescriberAbstractezAbstract class for describing dataframe or series. Parameters ---------- obj : Series or DataFrame Object to be described. cXlgNr)selfrs r(__init__!NDFrameDescriberAbstract.__init__nsr*cg)zDo describe either series or dataframe. Parameters ---------- percentiles : list-like of numbers The percentiles to include in the output. N)r0r s r(r%!NDFrameDescriberAbstract.describeqsr*rN)rDataFrame | SeriesreturnNone)r Sequence[float] | np.ndarrayr7r6) __name__ __module__ __qualname____firstlineno____doc__r1rr%__static_attributes__r4r*r(r,r,es   r*r,c.\rSrSr%SrS\S'SSjrSrg) r#|z2Class responsible for creating series description.rrcR[UR5nU"URU5$r/)select_describe_funcr)r0r describe_funcs r(r%SeriesDescriber.describes&, HH TXX{33r*r4N)r r9r7r)r:r;r<r=r>__annotations__r%r?r4r*r(r#r#|s< K4r*r#c`^\rSrSr%SrS\S'S U4SjjrS SjrS SjrSr U=r $) r$a>Class 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>X lX0lURS:Xa%URRS:Xa [ S5e[ TU]U5 g)Nrz+Cannot describe a DataFrame without columns)rrr"columnssize ValueErrorsuperr1)r0rrr __class__s r(r1DataFrameDescriber.__init__sD  88q=S[[--2JK K r*c PUR5n/nUR5H'upE[U5nURU"XQ55 M) [ U5n[ UVs/sHoR USS9PM snSSS9n URR5U lU $s snf)NF)copyr)axissort) _select_dataitemsrCappendreorder_columnsrreindexrKrR) r0r dataldesc_seriesrD col_namesxds r(r%DataFrameDescriber.describes  " IA08M LLv; <&$E* 7< =u!YYyuY -u =  LL%%'  >s"B#cURc_URcR[RS/nURR US9n[ UR5S:Xa URnU$URS:Xa(URb Sn[U5eURnU$URR URURS9nU$)zSelect columns to be described.datetime)rrallz*exclude must be None when include is 'all')rr) rrnpnumberr select_dtypeslenrKrM)r0default_includerZmsgs r(rUDataFrameDescriber._select_datas LL t||';46IIz3JO88))/)BD4<< A%xx \\U "||'B o%88D  88))  *D r*)rr)rrrstr | Sequence[str] | Nonerrlr7r8)r r9r7r)r7r) r:r;r<r=r>rFr1r%rUr? __classcell__)rOs@r(r$r$sI  N   ,  ,   "r*r$c/n[5n[SU5[S9nUH5nUH,nXR;dM URU5 UR U5 M. M7 U$)z,Set a convenient order for rows for display.c38# UHoRv M g7fr/)index).0r_s r( "reorder_columns..s3UGGUs)key)setsortedrhaddrW)r[names seen_names ldesc_indexesidxnamesnames r(rXrXsYE #J3U3=M!D%t$ T"" Lr*cSSKJn [U5n/SQU-S/-nUR5UR 5UR 5UR 5/URU5R5-UR5/-n[UR[5(ae[UR[5(a;URRS:XaSnO\SSKn[UR!55nO>[#5nO3URRS;a[$R"S5nOSnU"XTUR&US 9$) zDescribe series containing numerical data. Parameters ---------- series : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. rr)countmeanstdminmaxmNiufbfloatrpr|dtype)pandasrrrrrrquantiletolistr isinstancerrrkindpyarrowfloat64rrer|)r]r rformatted_percentiles stat_indexr`rpas r(describe_numeric_1drs.{;03HHE7RJ  fjjlC //+ & - - / 0 ::<. &,,// fllJ / /||  C'$"2::<0 NE   f $! !FKKu EEr*c./SQnUR5n[X3S:g5nUS:a URSURSpeSnO![R [R peSnUR 5XEU/nSSKJn U "XURUS9$)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. )runiquetopfreqrNobjectr~r) value_countsrhrpilocrenanrrrr|) rZpercentiles_ignoredrx objcounts count_uniquerrrr'rs r(describe_categorical_1drs /E!!#Iya01LaOOA& q(9TFFBFFTjjlLt 4F &DIIU CCr*c SS/nUR5n[X3S:g5nUR5U/nSnUS:aURSURSpUR R n UR5RRS5n [U5nURbU bURU 5nOURU 5nU/SQ- nUUU[U R5U S9[U R5U S9/- nO,USS /- nU[ R"[ R"/- nS nSS KJn U "XRUR(US 9$) zDescribe series containing timestamp data treated as categorical. Parameters ---------- data : Series Series to be described. percentiles_ignored : list-like of numbers Ignored, but in place to unify interface. rrrNi8)rrfirstlast)tzrrrr~r)rrhrrprdtrdropnavaluesviewr tzinfo tz_convert tz_localizerrrerrrr|) rZrrxrrr'rrrrasintrs r($describe_timestamp_as_categorical_1dr"sAh E!!#Iya01L'+zz|\&BF EaOOA& q(9T WWZZ $$))$/n :: !bn..$C//"%C 11   eiikb ) eiikb )    % 266266"" &DIIU CCr*cSSKJn [U5n/SQU-S/-nUR5UR 5UR 5/UR U5R5-UR5/-nU"XTURS9$)zDescribe series containing datetime64 dtype. Parameters ---------- data : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. rr~)rrrr)rpr|) rrrrrrrrrr|)rZr rrrr`s r(describe_timestamp_1drRs.{;),AAUGKJ tyy{DHHJ/ -- $ + + - . 88:,  !DII 66r*c8[UR5(a[$[U5(a[$URR S:Xd[ UR[5(a[$URR S:Xa[$[$)zSelect proper function for describing series based on data type. Parameters ---------- data : Series Series to be described. Mr) rrrrrrrrr)rZs r(rCrCjslTZZ  && $  "" C :djj/#J#J$$ C ""&&r*c>Uc[R"/SQ5$[U5n[U5 SU;aUR S5 [R "U5n[R "U5nUce[U5[U5:a [S5eU$)z Ensure that percentiles are unique and sorted. Parameters ---------- percentiles : list-like of numbers, optional The percentiles to include in the output. )g??g?rz%percentiles cannot contain duplicates) rearraylistr rWasarrayrrhrM)r unique_pctss r(r!r!sxx)**{#K $ +3**[)K))K(K  "" " ;#k**@AA r*) rr rrlrrlr #Sequence[float] | np.ndarray | Noner7r )r[zSequence[Series]r7zlist[Hashable])r]rr Sequence[float]r7r)rZrrrr7r)rZrr rr7r)rZrr7r)r rr7znpt.NDArray[np.float64])2r> __future__rabcrrtypingrrrnumpyrepandas._libs.tslibsr pandas._typingr r r pandas.util._validatorsr pandas.core.dtypes.commonrrpandas.core.dtypes.dtypesrrrpandas.core.arrays.floatingrpandas.core.reshape.concatrpandas.io.formats.formatrcollections.abcrrrrrr)r,r#r$rXrrrrrCr!r4r*r(rs> # ) 8 5-7  +" +"(+"( +" 5 +"  +"\ s . 4. 4A1AH &FRD D(D D@-D -D(-D -D`70' ' ', 4  r*