>hsZSSKJr SSKJr SSKrSSKJr SSKrSSKrSSK r SSK r SSK Jr SSKJrJr "SS 5rS rS S S SSSSS.rSrSSjrSSjrSSjrSrSSjrS SjrS!SjrS"Sjrg)#) FUTURE_STACK)lzipN)reduce) SimpleTable) fmt_latexfmt_txtc\rSrSrSrSrSrSrSrSSjr SSjr SS jr S r SS jr SS jrSrSrSSjrSrg )SummarycJ/Ul/Ul/UlSUlSUlg)NF)tablessettings extra_txttitle _merge_latexselfs mC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\statsmodels/iolib/summary2.py__init__Summary.__init__s&   !c"UR5$N)as_textrs r__str__Summary.__str__s||~rcX[[U55S-UR5-S-$)Nz """ z """)strtyperrs r__repr__Summary.__repr__s%4:*T\\^;gEErc"UR5$)z$Display as HTML in IPython notebook.)as_htmlrs r _repr_html_Summary._repr_html_s||~rc"UR5$)z9Display as LaTeX when converting IPython notebook to PDF.)as_latexrs r _repr_latex_Summary._repr_latex_"s}}rczX#XES.nURRU5 URRU5 g)aE Add the contents of a DataFrame to summary table Parameters ---------- df : DataFrame header : bool Reproduce the DataFrame column labels in summary table index : bool Reproduce the DataFrame row labels in summary table float_format : str Formatting to float data columns align : str Data alignment (l/c/r) indexheader float_formatalignN)rappendr)rdfr-r.r/r0rs radd_dfSummary.add_df&s6$#$0B 2 X&rcT[R"U5nURUSSX2S9 g)zAdd the contents of a Numpy array to summary table Parameters ---------- array : numpy array (2D) float_format : str Formatting to array if type is float align : str Data alignment (l/c/r) Fr,N)pd DataFramer3)rarrayr0r/tables r add_arraySummary.add_array=s, U# Eu!-  "Summary.add_dict..fs299aV#4rr0N) keys _formattervaluesr?r8rshapevstacksplitrr:) rdncolsr0r/rBrGvalsdatapads radd_dictSummary.add_dictMs 67VVX>X 1+X>56XXZ@Z 1+Z@xxT() ::a=5 A %::a=501C99dBHHSRH:-=$>?@Dxx$4d; t)?@s DDc:URRU5 g)zAppend a note to the bottom of the summary table. In ASCII tables, the note will be wrapped to table width. Notes are not indented. N)rr1)rstrings radd_textSummary.add_textis f%rNc[U[5(aXlgUb>URRR nU[ ;a [ UnSU-UlgSUlg)zInsert a title on top of the summary table. If a string is provided in the title argument, that string is printed. If no title string is provided but a results instance is provided, statsmodels attempts to construct a useful title automatically. Nz Results: r=) isinstancerrmodel __class____name__ _model_types)rrresultsrZs r add_titleSummary.add_titleosV eS ! !J" //88L((/E(50  rc[XURS9n[U5nUbXWlUbXhS'UR USS9 UR XsS9 UR XAS9 g)aTry to construct a basic summary instance. Parameters ---------- results : Model results instance alpha : float significance level for the confidence intervals (optional) float_format: str Float formatting for summary of parameters (optional) title : str Title of the summary table (optional) xname : list[str] of length equal to the number of parameters Names of the independent variables (optional) yname : str Name of the dependent variable (optional) )alphause_tNDependent Variable:lrF)r/)rr^)summary_paramsrc summary_modelr-rRr3r_) rr^rbr/rxnameynameparaminfos radd_baseSummary.add_basesd&w7==IW%  K  */& ' d# & E 5 U4rcURnURnURnURn[ X5upVnUS-n[ XXV5n U V s/sHoR 5PM n n SRU 5n U RS5n XS'U RU5 SRU 5n Ub5Un[U5U:a#S[US- [U5S- - 5-U-nOSnUV s/sHn [R"X5PM n n U V s/sHn SRU 5PM n n SRU 5n SRX;U /5n U $s sn fs sn fs sn f)z%Generate ASCII Summary Table = r r=)rrrr_measure_tables_simple_tablesrjoinrLr1leninttextwrapwrap)rrrrrpad_col pad_indexwidest rule_equal simple_tablesrBtabtxtouts rrSummary.as_textsK== NN %4V%F"Fc\ &vL $12Mqyy{M2iiniioA :iin  E5zF"c&1*s5zA~"=>>FE1:;Ax}}Q';%()Styy|S)iiniiS)* +3<)sE5 E#E(c\URnURn[X5nUVs/sHoDR5PM nnSR U5nUR Vs/sHofR SS5PM nnSR U5nSR XX/5n U $s snfs snf)z$Generate HTML Summary Table rpz
)rrrtr$rurreplace) rrrr~rBrsttemp_txtrrs rr$Summary.as_htmls==&v8 $12Mqyy{M2iin9=H2JJtY/HnnX&nncZ( 3Is B$"B)cURnURnURnUb SU-S-nOSnSU-S-n[X#5nUVs/sHofR 5PM nnSR U5nSnUR (a[R"USU5nSXAUS 4n S R U 5n S R UR5n U S -U -n U $s snf) zGenerate LaTeX Summary Table Parameters ---------- label : str Label of the summary table that can be referenced in a latex document (optional) z \caption{}z \caption{}z\label{z z8\\hline\n\\hline\n\\end{tabular}\n\\begin{tabular}{.*}\nz \\midrule\nz \begin{table}z \end{table}rpz \newline z \bigskip ) rrrrtas_latex_tabularrurresubr) rlabelrrrr~rBr to_replace non_captionedrrs rr(Summary.as_latexs==    5(3.E!EU"S(&v8 -:;]!!#];kk#A    &&^S9C(%^K  -0 ""4>>2o-3 !.time_now%s&##%||,--rcBURRR$r)rZr[r\rBs rrDsummary_model..*sqww0099rzModel:cBURRR$r)family__classr\rs rrDr+sahh&6&6&?&?rz Model Family:cVURRRR$r)rlinkr[r\rs rrDr,sqxx}}'>'>'G'GrzLink Function:c.URR$r)rZ endog_namesrs rrDr-sAGG,?,?rrdzDate:c SUR-$Nz%#6d)nobsrs rrDr/s &166/rzNo. Observations:c SUR-$r)df_modelrs rrDr0s &1::"5rz Df Model:c SUR-$r)df_residrs rrDr1s fqzz&9rz Df Residuals:c URS$)N converged mle_retvalsrs rrDr2s 1==#=rz Converged:c URS$)N iterationsrrs rrDr3s  l(CrzNo. Iterations:cUR$r)methodrs rrDr4srzMethod:c URS$)Nnorm fit_optionsrs rrDr5s ammF3rzNorm:c URS$)N scale_estrrs rrDr6s AMM+$>rz Scale Est.:c URS$)Ncovrrs rrDr7s 1==#7rz Cov. Type:r=z (uncentered)c SUR-$Nz%#8.3f)rsquaredrs rrDr:s 1::8Mr R-squared:c SUR-$r) rsquared_adjrs rrDr;s X=VrzAdj. R-squaredc SUR-$r) prsquaredrs rrDr<s (Q[[*@rzPseudo R-squared:c SUR-$Nz%8.4f)aicrs rrDr= Wquu_rzAIC:c SUR-$r)bicrs rrDr>rrzBIC:c SUR-$Nz%#8.5g)llfrs rrDr?s 155(8rzLog-Likelihood:c SUR-$r)llnullrs rrDr@s AHH!4rzLL-Null:c SUR-$r) llr_pvaluers rrDrAs X %D7D!,,B/M.MD} $s *+3VD M )C /0 @D ,DL,DL8D 4D   s C//DDc [U[5(aUupppOAURnURnURn UR n UR U5n [R"XxX/5Rn [R"X/5n [R"U 5n U(a/SSSSS[US- 5-[SUS- - 5S-/U lO.SSS S S[US- 5-[SUS- - 5S-/U lU(d(URR R"U lU $X,lU $![&a URR(U lU $f=f) acreate a summary table of parameters from results instance Parameters ---------- res : results instance some required information is directly taken from the result instance yname : {str, None} optional name for the endogenous variable, default is "y" xname : {list[str], None} optional names for the exogenous variables, default is "var_xx" alpha : float significance level for the confidence intervals use_t : bool indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False) skip_header : bool If false (default), then the header row is added. If true, then no header row is added. float_format : str float formatting options (e.g. ".3g") Returns ------- params_table : SimpleTable instance zCoef.zStd.Err.tzP>|t|[rrr]zzP>|z|)rYtupleparamsbsetvaluespvaluesconf_intr?r8Tr@r6r7rcolumnsrZrP param_namesr-r exog_names) r^rirhrbrc skip_headerr/rrrrrrPs rrfrfRs[:'5!!;B8wkk////##E* 88V'3 4 6 6D 99d% &D << D S'c%!)n,c!eai-.@3.FH  S'c%!)n,c!eai-.@3.FH   2 ++77DJ K K  2 11DJ K  2s%E%E10E1c^[U5nURSSHnXERU4Sj5XE'M SURSS2S4-S-URSS2S4'U(aURSS2S4S:nURXdRS 4S -URXdRS 4'URSS2S4S :nURXdRS 4S -URXdRS 4'URSS2S4S :nURXdRS 4S -URXdRS 4'URSS2SS24nUR "S0[ D6nU(a[US [R5n[US[R5n[R"UUS.5n U R5R5(a+U RU4Sj5n [R"XI/S S9n[R"U5n[!UR"R$5/UlU$)zTU-$rrrBr/s rrD_col_params..s L1,TU-$rrrs rrDrs L1$4r)axisr)rfr applyiloclocstackrgetattrr?nanr6Seriesnotnullanyconcatr7rrZr) resultr/stars include_r2rescolidxrrr2s ` r _col_paramsr*s  C{{2A8>>"<=388AqD>)C/CHHQTN hhq!tnr!'*wwsKKN/B'Cc'I[[^#$hhq!tns"'*wwsKKN/B'Cc'I[[^#$hhq!tns"'*wwsKKN/B'Cc'I[[^#$ ((1bqb5/C )) #l #C6:rvv6v~rvv> YY80<>? ::<    45B))SIA.C ,,s Cv||//01CK Jrc\Uc0n/n/nUHGn[X[5(aMURX"U55 URU5 MI [R "[ URR5U0US9nU$![a URS5 Nhf=f)z!Stack model info in a column r=)r-) rYdictr1rr6r7rrZr)r# info_dictrr-rs r _col_infor.s C E  ilD ) )   JJy|F+ ,  Q ,,FLL445s;5 IC J   JJrN sB  B+*B+c[[U55[U5:XaU$SSKJn U"[5n/nUH(nX$==S- ss'UR US-X$-5 M* U$)Nr) defaultdictIrq)rvset collectionsr0rr1) list_of_namesr0 name_counterr._names r _make_uniquer7sh 3} #m"44's#L Fs" eckL$778 Mrc  [U[5(dU/nUVs/sHn[XUUS9PM n nU(a [U5n O([U Vs/sHoRSPM sn5n [ [ U 55Hn X/XlM Sn [U SR5n U SSH.nURHnX;dM U RU5 M M0 SH7nUU ;dM U RU5 U R[ U 5U5 M9 [X5nURU 5nU(GaURRS5R5n[R "U5R#5nUR$US:HRR5nUVs/sH oU;dM UPM nnUVs/sH oU;dM UPM nnUU-nURRS5Vs/sH nUU;dM UPM nnUU- nU(aUHnURU5 M URUSS9n/nURRS5n [ SU R&SS5Hbn URX5 U S-U R&S:a XXS-:XaURS 5 MLURXS-5 Md UUlU(aJUVs/sH<n[)XR+UR,R.R0U55PM> n nO'UVs/sHn[)U[3US S55PM n n[5U [U Vs/sHnURSPM sn55HunnU/UlM [X5n[R6"[8R:"UU/55nURUl[R<"URR5URR5-5UlUnUR?S 5n[A5nS Ul!UREUS S S 9 URGS5 U(aURGS5 U$s snfs snfs snfs snfs snfs snfs snfs snf)a Summarize multiple results instances side-by-side (coefs and SEs) Parameters ---------- results : statsmodels results instance or list of result instances float_format : str, optional float format for coefficients and standard errors Default : '%.4f' model_names : list[str], optional Must have same length as the number of results. If the names are not unique, a roman number will be appended to all model names stars : bool print significance stars info_dict : dict, default None dict of functions to be applied to results instances to retrieve model info. To use specific information for different models, add a (nested) info_dict with model name as the key. Example: `info_dict = {"N":lambda x:(x.nobs), "R2": ..., "OLS":{ "R2":...}}` would only show `R2` for OLS regression models, but additionally `N` for all other results. Default : None (use the info_dict specified in result.default_model_infos, if this property exists) regressor_order : list[str], optional list of names of the regressors in the desired order. All regressors not specified will be appended to the end of the list. drop_omitted : bool, optional Includes regressors that are not specified in regressor_order. If False, regressors not specified will be appended to end of the list. If True, only regressors in regressor_order will be included. include_r2 : bool, optional Includes R2 and adjusted R2 in the summary table. )r$r/r%rc&URUSSSS9$)NouterT)how right_index left_index)mergerAs rmergsummary_col..merg swwqg4DwIIrrNrrr)levelr=default_model_infosTre)r.r0zStandard errors in parentheses.z* p<.1, ** p<.05, ***p<.01)$rYlistr*r7r rrvr-r1removeinsertrreindexget_level_valuestolistr6r value_countsrrJr.getrZr[r\rzipr7r?rKIndexfillnar rr3rV)r^r/ model_namesr$r-regressor_order drop_omittedr%rBcolscolnamesrr?r-r'rspecialsummvarnamesvcordered unordered new_orderotheruor(r2namerkdatsmrys r summary_colr_sWJ gt $ $)9@ A8?1 \#- /8?  A ,t [UT5$rrHrs rrD$_df_to_simpletable.._s 1l ;rc>[UT5$rrgrs rrDrhas Z<%@rrqr)headersstubsltx_fmttxt_fmtlatex data_aligns header_alignrtable_dec_abovetable_dec_belowheader_dec_belowrcolsep)copymaprapplymapr rHrr-rwrrr?r8rr output_formats)r2r0r/r.r-rqrrrsrzr{r]rBrjrkrs ` r_df_to_simpletableryZs '')CBgg;<#&;;#5#5#78#7a3q6#78 8; 8H8H8JK8J1Q#i.3..8JK$'88AqD>3#1aa&3y>C#77#13A RXXc]G& 9B05g}-16g~..3e]+2Ae./2Ae./3Ce/0),s7Q;/?)?BeX& I+ Bll@AB9L3s#F/ G$G$G/GGc /nU(aUSSOSnUcS/[U5-nUcS/[U5-n[U5H:upgXSnXSn XSn UR[XzUXX&X6S95 M< U$)Nrr/rr-r.r0)r0r/r.r-rzr{)rv enumerater1ry) rrrzr{r~r/rvr-r.r0s rrtrtxsM2:8A;~.L#F #C#f+% &! G$X& G$/=I7=8? :C, H I " r)NNrTFr)rTFr)rrFNrFT)r) rrTT-Nr}rrr)statsmodels.compat.pandasrstatsmodels.compat.pythonrr functoolsrrrxnumpyr?pandasr6r9rtableformattingrr r rsr]rgrfr*r.r7r_rHryrtrrrrs2* /iiX+402?/,11  /dFJ399z$N* EJAFwtCGHLBC<r