>h}SSKJrJrJr SSKrSSKJr SSKrSSKr SSK J r SSK J r JrJrJr SSKJr SSjrSS jrSS jrSS jrSS jrSS jrSSjrSSjrSSjrSSjrSSjr"SS5rg) )lmaplrangelzipN) zip_longest) SimpleTable)fmt_2 fmt_2cols fmt_paramsgen_fmt) _model_typesc[R"U5nUS:Xa([U5S:d[U5S:aSU-$SU-$US:Xa([U5S:d[U5S:aSU-$SU-$[S R US 95e) Ng@g-C6?z%9.3gz%9.3fz%10.4gz%10.4fz1`prec` argument must be either 3 or 4, not {prec}prec)npsqueezeabs ValueErrorformat)xrs lC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\statsmodels/iolib/summary.pyforgrs 1 A qy FcMs1v}Q; Q;   FcMs1v}a< a< L &d&+- -ct[R"U5(a US- S-S-$US-U:XaSU-$SU-$)a=convert number to string with either integer of float formatting This is used internally for nobs and degrees of freedom which are usually integers but can be float in some cases. Parameters ---------- x : int or float width : int only used if x is nan Returns ------- str : str number as formatted string r NaNr z%#6dz%#8.2f)risnan)rwidths rd_or_fr!&sD" xx{{ S 5((Av{z!|rcN^'^(US:Xa'[URRRnUbO[ U5[ UR 5:wa-[ SR[ UR 555e[XU5up[R"5n[R"SU5/n[R"SU5n URRRn URn URn URn SU /4SU /4SU4S U /4/n[U6unnUnSn[!UUUU["S 9nS nU /UU /U /4n[!UUUU["S 9nUR%U5 Um'UR'5UR'5UR'5UR'5UR'5UR'5S .nUR(UR(UR(UR(UR(UR(S .n[+S U- S-5S-nSSSSUS-/SSSSUS-/SSSSUS-/SSSSUS-/SSSSUS-/SSSSUS-/S.nUnUR nUR-U5nUR.n[1[ U55nUU n UU n![3UV"s/sH n"SUU"-PM sn"UV"s/sH n"SUU"-PM sn"UV"s/sH n"SU U"-PM sn"UV"s/sH n"SU!U"-PM sn"UV"s/sHn"S[5UU"5-PM sn"5n#[!U#UU US[6S 9m(U'U(4Sjn$U'U(4Sjn%U$U%S.n&US:Xa U&U "5$gs sn"fs sn"fs sn"fs sn"fs sn"f![8a U&S"5s$f=f) a$ Parameters ---------- yname : str optional, Default is `Y` xname : list[str] optional, Default is `X.#` for # in p the number of regressors Confidance interval : (0,1) not implimented title : str optional, Defualt is 'Generalized linear model' returns : str 'text', 'table', 'csv', 'latex', 'html' Returns ------- Default : returns='print' Prints the summarirized results Option : returns='text' Prints the summarirized results Option : returns='table' SimpleTable instance : summarizing the fit of a linear model. Option : returns='csv' returns a string of csv of the results, to import into a spreadsheet Option : returns='latex' Not implimented yet Option : returns='HTML' Not implimented yet Examples (needs updating) -------- >>> import statsmodels as sm >>> data = sm.datasets.longley.load() >>> data.exog = sm.add_constant(data.exog) >>> ols_results = sm.OLS(data.endog, data.exog).results >>> print ols_results.summary() ... Notes ----- conf_int calculated from normal dist. rNz`User supplied xnames must have the same number of entries as the number of model parameters ({})%H:%M:%S %a, %d %b %Y Model type:Date:Dependent Variable:zdf modeltitletxt_fmt)zMethod:Time:Number of Obs:zdf resid)OLSGLSGLSARWLSRLMGLMr d%coefstd errtP>|t|z Conf. IntervalzP>|z|)r-r.r/r0r2r1z%#6.4gz%#6.4fz (%#5g, %#5g)c<>[T5S-[T5-nU$)z$ print summary table for ols models  strtable general_tableparameter_tables r ols_printersummary..ols_printers#M"4'O(<< rc<>[T5S-[T5-nU$)Nr<r=r?s r glm_printersummary..glm_printers!M"4'O(<< r)r-r2printr-)r model __class____name__lenparamsrr _getnamestime localtimestrftimenobsdf_modeldf_residrrr extend_rightr7pvaluesr>conf_intbserrtuplerKeyError))selfynamexnamer)alphareturns model_infotime_now time_of_daydate modeltyperRrSrTgen_leftgen_stubs_left gen_data_left gen_title gen_headergen_table_leftgen_stubs_rightgen_data_rightgen_table_righttstats prob_statsalp param_header params_stubsrMrWstd_errexog_lentstat prob_stati params_datarCrFprintersrArBs) @@rsummaryrz@sn zTZZ11::; SZ3t{{+;; &s4;;'7 8: :T%0LE~~H==X67K == 2D $$--I 99D}}H}}H ,4&!&.hZ(H %0$:!NMIJ !+!/'0)0 #N#O!k!fjN ".","1(1*1 $O 0"M VVXVVXvvxVVXVVXVVX F << J qwm S CIsGS;L5LMIsGS;L5LMIsGS;L5LMIsGS;L5LMIsGS;L5LMIsGS;L5LM LL [[F}}U#HhhGc%j!H 9 E9%IA1F1I.A9ABAGAJ/B7?@x!E!H-x@;CD8aIaL18DEMNXx{);;XN PK "+".y"9".(,*/ $O #;7H' %I&( (EBB@DNB %E?$ $ %s09M4M9 )M> NN) N N$#N$cDUc1[URSS5bURRnOSnUcb[URSS5bURRnX4$[ [ UR 55Vs/sHnSU-PM nnX4$s snf)z0extract names from model or construct names N endog_namesy exog_nameszvar_%d)getattrrIr|r~rangerLrM)r[r\r]rws rrNrNs } 4::}d 3 ?JJ**EE } 4::|T 2 >JJ))E <,1T[[1A+BC+BaX\+BEC <Ds Bc^^^^X#pv[R"5n[R"SU5/m[R"SU5m[TTUS9umn[ SU4Sj4SU4Sj4SU4S j4S U4S j4S U4S j4SU4Sj4SU4Sj4SU4Sj4SU4Sj4SU4Sj4/ 5n Uc#TR R RS-nUc$/SQnTRn URS5 /nUn Sn /n UH#upUc X"5nU RX45 M% U nU(a-/nUH#upUc X"5nURX45 M% UnXg-VVs/sH unnUbM UPM nnnU/:XdU5eU(a[U5[U5:aUS/[U5[U5- -- nO6[U5[U5:aUS/[U5[U5- -- nUVVs/sHunnSSU--U4PM nnn[U6unn[UU UU [S9nO/n[U6unn[UU UU [S9nURU5 UnU$! GNz=fs snnfs snnf) zgenerate top table(s) TODO: this still uses predefined model_methods ? allow gleft, gright to be 1 element tuples instead of filling with None? r#r$r\r]r'c >T/$Nr\srsummary_top..&s5'rDep. Variable:c >T/$rrrsrrr'seWrzModel:cF>TRRR/$r)rIrJrKresultssrrr(sgmm55>>?rr&c >T/$rr)rcsrrr)sTFrr+c>T$rr)rbsrrr*sKrr,c>TR/$r)rRrsrrr+s gll^rNo. Observations:c0>[TR5/$r)r!rRrsrrr,s )=(>rz Df Model:c0>[TR5/$r)r!rSrsrrr-s(8(8!9 :rz Df Residuals:c0>[TR5/$r)r!rTrsrrr.sVG,<,<%=$>rzLog-Likelihood:c$>STR-/$)Nz%#8.5g)llfrsrrr/sx'++'=&>rNzRegression Results))rN)r%N)r&N)rN)z Df model:N)z Df resid:N)zLog-LikelihoodN)rrz%-21sz r()rOrPrQrNdictrIrJrKrappendrLrrr rU)rr)gleftgrightr\r]re gen_rightra default_itemsrrhri gen_left_itemvalue gen_right_kvmissing_valuesrkrlrmrfrgrjrArcrbs` ` @@r summary_toprs i~~H==X67K == 2DWE?LE5 / 2 _ - ? @ N # ' ( 3 4  > ? : ; > ? > ?  M } ''003GG) ++C OO4 5 IJI  =!')E$' H $KD}%+-   tm ,% $,#7E#7CAa1a#7NE R //  y>CM ) *XY)GH HI ^c(m +  IX(FG GH9BB 1ga(!, B*5y*A'%n&0&5,5.7 (%0$:!NM !+!/'0)2 #N0"M A  0FCsI*# I21I2I8*I/c[U[5(aUupppO[R"UR5n[R"UR 5n[R"UR 5n [R"UR5n [R"URU55n URS:Xa [S//5$U(a*SSSSS[US- 5-[S US- - 5S -/n O)SSS S S[US- 5-[S US- - 5S -/n U(aS n [XUS9up[U5[U5:wa [S5eUn[[U55n[R"U5n[R"U5n[R"U 5n [R"U 5n [R"U 5n [!UVs/sHn[#UUSS9PM snUVs/sHn[#UU5PM snUVs/sHn[#U U5PM snUVs/sH nSU U-PM snUVs/sHn[#U US45PM snUVs/sHn[#U US 45PM sn5n[UU UU[$S9nU$s snfs snfs snfs snfs snfs snf)acreate a summary table for the parameters 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_headers : bool If false (default), then the header row is added. If true, then no header row is added. Returns ------- params_table : SimpleTable instance rzNo Model Parametersr5r6r7r8[r ]r9r:Nrz-xnames and params do not have the same lengthrrz%#6.3fr() isinstancerYrasarrayrMrXtvaluesrVrWsizerr>rNrLrrrrr )rr\r]r^use_t skip_headerr)rMrsrrVrWrq_rrexog_idxrwrxrBs rsummary_paramsrs@'5!!@G<7HGNN+**W[[)**W__-**W__-::g..u56 {{a23455  3c%'l*C%' NS,@B  3c%'l*C%' NS,@B  U;HA 5zS[ HIILc%j!H ZZ Fjj!Gjj!Gjj!Gzz(#HBAVAYQ/B2:;(QWQZ((;2:;(QWQZ((;9ABAGAJ/B5=>XXac]+X>5=>XXac]+X> @K "+".".(-*4 $O C;;B>>s$>KK 9K K/KKc@[U[5(aUuppgpOAURnURnURnUR nUR U5n U(a/SQn O/SQn [XUS9upSSKJ n [R"XVXxU 45n U "XUS9$)a Create a summary table for the parameters Parameters ---------- res : results instance some required information is directly taken from the result instance yname : {str, None} optional name for the endogenous variable, default is "y" xname : {list[str], None} optional names for the exogenous variables, default is "var_xx" alpha : float significance level for the confidence intervals use_t : bool indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False) skip_headers : bool If false (default), then the header row is added. If true, then no header row is added. Returns ------- params_table : SimpleTable instance )r5r6r7r8Conf. Int. LowConf. Int. Upp.)r5r6r9r:rrrr) DataFrame)columnsindex) rrYrMrXrrVrWrNpandasrr column_stack)rr\r]r^rrMrsrrVrWrqrrr@s rsummary_params_framersB'5!!@G<7H++////##E* = = U;HA OOVgI JE U >>rcUc@[R"URR5SSVs/sHnSU-PM nnUc1[ [ UR 55Vs/sHnSU-PM nnUR VVs/sHofVs/sH n[USS9PM snPM nnnU(aUV V V s/sHQn [X 5V V s/sH5n U V s/sH$n SS[U S S9R5-S --PM& sn PM7 sn n PMS n n n n [U/U Q76n U VVs/sH oHoUPM M n nn[U/S /[ U5-/[ U5-Q76nUVVs/sH oHoUPM M nnnOUn Un[R"[5nS /UR RS-US '[XUUUS9$s snfs snfs snfs snnfs sn fs sn n fs sn n n fs snnfs snnf)a*create summary table of regression parameters with several equations This allows interleaving of parameters with bse and/or tvalues Parameters ---------- result : result instance the result instance with params and attributes in extras extras : list[str] additional attributes to add below a parameter row, e.g. bse or tvalues endog_names : {list[str], None} names for rows of the parameter array (multivariate endog) exog_names : {list[str], None} names for columns of the parameter array (exog) alpha : float level for confidence intervals, default 0.95 title : None or string Returns ------- tables : list of SimpleTable this contains a list of all seperate Subtables table_all : SimpleTable the merged table with results concatenated for each row of the parameter array Nr zendog_%dzvar%drrz%10s(r)z%s data_fmts)headersstubsr)r*)runiquerIendogrrLrMrrstriprcopydeepcopyr shaper)resultextrasr|r~r)rwrowr res_paramswhatcolr extras_listdatajrr*s rsummary_params_2drs:yy!3!34QR8:8+,zA~8 :+0V]]1C+DE+Dagk+D ECI--P-3#6#$41%#6-JP $*$*4$+6#8:#8C#&'"%Q 3aa)>)>)@#@3#FG"%'#8:$*  J--+4aA4+[GRD[)9$9#:3v;#FG!-Eq1a1E-mmJ'G 6&--"5"5a"88GK t#(#(%, ..1:F7P': ,-sYG 'G GG $G;G, G&+G!G& G,(G3*G9G!G&&G,c UnURnURS:Xa7URSn [U5URS:wa [ S5eO%[U5[U5:wa [ S5eSn [ U[ 5(d!UcSn OUn URRSSn/n [U 5Hn XwRSS2U 4URSS2U 4URSS2U 4URSS2U 4URU5U 4n Sn[XU X#UUS9nU RU5 M [[U55HnUUU UlM [#XS9nU U4$) agsummary table for parameters that are 2d, e.g. multi-equation models Parameters ---------- result : result instance the result instance with params, bse, tvalues and conf_int endog_names : {list[str], None} names for rows of the parameter array (multivariate endog) exog_names : {list[str], None} names for columns of the parameter array (exog) alpha : float level for confidence intervals, default 0.95 use_t : bool indicator whether the p-values are based on the Student-t distribution (if True) or on the normal distribution (if False) keep_headers : bool If true (default), then sub-tables keep their headers. If false, then only the first headers are kept, the other headerse are blanked out endog_cols : bool If false (default) then params and other result statistics have equations by rows. If true, then equations are assumed to be in columns. Not implemented yet. Returns ------- tables : list of SimpleTable this contains a list of all seperate Subtables table_all : SimpleTable the merged table with results concatenated for each row of the parameter array rr zendog_names has wrong lengthNrF)r\r]r^rr) keep_headers)rMndimrrLrrlistrIr|rrXrrVrWrrr) table_extend)rr|r~r^rr endog_colsresrMn_equendog_basenametableseqrestupskiphtblerw table_alls rsummary_params_2dflatrTs{F C ZZF {{a Q { v||A .;< < / { s6{ *;< < k4 ( (  $N(Nii++AB/ FElzz!B$'2 AbD8I++ad#S\\%%8%<>fO$.5*/1  d3{# $%a.q %V?I 9 rcSSKJn [USS5Hup4U"U5nUSRS:XadURUSSlSUSSlUSSRUSSlU(dUS:aUSSSH nSUlM US:XaUnMWSnURSS S 9 URU5 M SWlU$) aextend a list of SimpleTables, adding titles to header of subtables This function returns the merged table as a deepcopy, in contrast to the SimpleTable extend method. Parameters ---------- tables : list of SimpleTable instances keep_headers : bool If true, then all headers are kept. If falls, then the headers of subtables are blanked out. Returns ------- table_all : SimpleTable merged tables as a single SimpleTable instance r)rNheaderr rtxt-) row_dec_below) rr enumeratedatatyper)r _datatyper add_formatextend)rrriir7crr1s rrrs&6!9% QK Q4==H $77AaDGL $AaDG A$q'++AaDGKR!V1abAAF" 7I2B MM%sM 3   Q '&*IO rcUS:Xa0SnSR[X SS5[US5/-5$US:XaU$US:XaSRSU55$US:XaF[R"US 5nUS SHnUR U5 M UR 5$US :XaSRS U55$[S 5e)Ntextc>[U5RSS5S$)Nr<r r)r>rsplit)rs rr summary_return..sCFMM$q1!4rr<rrcsvc3@# UHoR5v M g7fr)as_csv).0rs r !summary_return..s4VVlatexrr htmlc3@# UHoR5v M g7fras_html)rr@s rrrs=fUfrz3available output formats are text, csv, latex, html)joinrr>rrras_latex_tabularr)r return_fmtstrdropr@parts rsummary_returnrsV4yygcr{3s6":6GGHH x  u yy4V444 w  fQi(12JD LL %%'' v yy=f===NOOrcp\rSrSrSrSrSrSrSrSr SS jr SS jr S r S r S rSrSrSrg)Summaryia{ Result summary Construction does not take any parameters. Tables and text can be added with the `add_` methods. Attributes ---------- tables : list of tables Contains the list of SimpleTable instances, horizontally concatenated tables are not saved separately. extra_txt : str extra lines that are added to the text output, used for warnings and explanations. c /UlSUlgr)r extra_txtr[s r__init__Summary.__init__s rc"UR5$r)as_textr s r__str__Summary.__str__s||~rcX[[U55S-UR5-S-$)Nz """ z """)r>typerr s r__repr__Summary.__repr__s%4:*T\\^;gEErc"UR5$)z$Display as HTML in IPython notebook.rr s r _repr_html_Summary._repr_html_s||~rc"UR5$)z9Display as LaTeX when converting IPython notebook to PDF.)as_latexr s r _repr_latex_Summary._repr_latex_s}}rNc P[XX4XVS9nURRU5 g)a Add a double table, 2 tables with one column merged horizontally Parameters ---------- res : results instance some required information is directly taken from the result instance title : str, optional if None, then a default title is used. gleft : list[tuple], optional elements for the left table, tuples are (name, value) pairs If gleft is None, then a default table is created gright : list[tuple], optional elements for the right table, tuples are (name, value) pairs yname : str, optional optional name for the endogenous variable, default is "y" xname : list[str], optional optional names for the exogenous variables, default is "var_xx". Must match the number of parameters in the model. )r)rrr\r]N)rrr)r[rr)rrr\r]r@s radd_table_2colsSummary.add_table_2cols s'0CE"'6 5!rcURRS:Xa [XX4US9nO3URRS:Xa[XUXES9upvO [ S5eUR R U5 g)aZcreate and add a table for the parameter estimates 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) Returns ------- None : table is attached r )r\r]r^rr)r|r~r^rzparams has to be 1d or 2dN)rMrrrrrr)r[rr\r]r^rr@rs radd_table_paramsSummary.add_table_params%sl0 ::??a "35).0E ZZ__ !,S8=38GHAu89 9 5!rc0SRU5Ulg)zadd additional text that will be added at the end in text format Parameters ---------- etext : list[str] string with lines that are added to the text output. r<N)rr )r[etexts r add_extra_txtSummary.add_extra_txtHs5)rcl[URSS9nURbUS-UR-nU$)zdreturn tables as string Returns ------- txt : str summary tables and extra text as one string rr rrr )r[rs rrSummary.as_textSs5T[[V< >> %,/C rc[URSS9nURb"US-URRSS5-nU$)areturn tables as string Returns ------- latex : str summary tables and extra text as string of Latex Notes ----- This currently merges tables with different number of columns. It is recommended to use `as_latex_tabular` directly on the individual tables. rr(r)r<z \newline rrr replace)r[rs rrSummary.as_latexasBt{{w? >> %FNT^^%;%;D/%RRE rcl[URSS9nURbUS-UR-nU$)znreturn tables as string Returns ------- csv : str concatenated summary tables in comma delimited format rr(r)r*)r[rs rrSummary.as_csvus5T[[U; >> %,/C rc[URSS9nURb"US-URRSS5-nU$)zdreturn tables as string Returns ------- html : str concatenated summary tables in HTML format rr(z

r<z
r-)r[rs rrSummary.as_htmlsCdkkf= >> %,&)?)?g)NND r)r rNNNNNNN皙?T)rK __module__ __qualname____firstlineno____doc__r rrrrrr!r%rrrr__static_attributes__rrrrrsYFDH*."8CF#!"F * (  rr)r))NNrr6rN)NNr4)NNr6TFNr5)NNNN)NNr6TTF)T)r)statsmodels.compat.pythonrrrr itertoolsrrOnumpyrstatsmodels.iolib.tabler!statsmodels.iolib.tableformattingrr r r summary2r rr!rzrNrrrrrrrrrrrrCs88 ! /#-$4:='+|%~$pfFJ,0SlAD#:?zIM :.zLPDIM`*ZP,hhr