+ xȇiF`a0t$Rt^RIHt^RIHtHtHtHtH t ^RI H t ^RI H t ^RIHt^RIHt^RIHt^RIt^RIt^R IHt^R IHtHtHtHt^RIt^R IH t H!t!^R I"H#t#^R I$H%t%^RI&H't'H(t(H)t)^RI*H+t+^RI,H-t-^RI.H/t/H0t0H1t1H2t2H3t3H4t4^RI5H6t6H7t7H8t8^RI9H:t:H;t;^RIt>H?t?H@t@^RIAHBtB^RICHDuHEtF^RIGHHtHHItIHJtJHKtK^RILHMtM^RINHOtO^RIPHQtQHRtR^RISHTtT]'d%^RIUHVtVHWtWHXtXHYtYHZtZH[t[H\t\H]t]H^t^H_t_H`t`Hata^RIbHctcHdtdRteR]fR&R_tgR thR]fR!&!R"R#4tiR$R%ltjR&R'ltk!R(R)4tl!R*R+4tmR`R,R-lltn] RaR.R/ll4toRbR0R1lltp!R2R34tq!R4R5]q4tr!R6R7]q4ts!R8R9]q4tt!R:R;]q4tuR<R=ltvR>R?ltwRcR@RAlltxRdRBRClltyRdRDRElltz!RFRG]t4t{!RHRI]q4t|ReRJRKllt}RfRLRMllt~RgRNROlltRPRQltRgRRRSlltRTRUlt!RVRW4t]-!RX4RhRYRZll4tRiR[R\lltR]R^ltR#)jz Internal module for formatting output data in csv, html, xml, and latex files. This module also applies to display formatting. ) annotations)Callable GeneratorHashableMappingSequence)contextmanager) QUOTE_NONE)Decimal)partial)StringION)get_terminal_size) TYPE_CHECKINGAnyFinalcast) get_option set_option)lib)NA)NaT Timedelta Timestamp)NaTType) set_module)is_complex_dtypeis_float is_integer is_list_likeis_numeric_dtype is_scalar)CategoricalDtypeDatetimeTZDtypeExtensionDtype)isnanotna) Categorical DatetimeArrayExtensionArrayTimedeltaArray) PandasObject)Index MultiIndex PeriodIndex ensure_index) DatetimeIndex)TimedeltaIndex)check_parent_directorystringify_path)printing) ArrayLikeAxesColspaceArgType ColspaceTypeCompressionOptionsFilePathFloatFormatTypeFormattersType IndexLabelSequenceNotStrStorageOptions WriteBuffer) DataFrameSeriesa Parameters ---------- buf : str, Path or StringIO-like, optional, default None Buffer to write to. If None, the output is returned as a string. columns : array-like, optional, default None The subset of columns to write. Writes all columns by default. col_space : %(col_space_type)s, optional %(col_space)s header : %(header_type)s, optional %(header)s. index : bool, optional, default True Whether to print index (row) labels. na_rep : str, optional, default 'NaN' String representation of ``NaN`` to use. formatters : list, tuple or dict of one-param. functions, optional Formatter functions to apply to columns' elements by position or name. The result of each function must be a unicode string. List/tuple must be of length equal to the number of columns. float_format : one-parameter function, optional, default None Formatter function to apply to columns' elements if they are floats. This function must return a unicode string and will be applied only to the non-``NaN`` elements, with ``NaN`` being handled by ``na_rep``. sparsify : bool, optional, default True Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row. index_names : bool, optional, default True Prints the names of the indexes. justify : str, default None How to justify the column labels. If None uses the option from the print configuration (controlled by set_option), 'right' out of the box. Valid values are * left * right * center * justify * justify-all * start * end * inherit * match-parent * initial * unset. max_rows : int, optional Maximum number of rows to display in the console. max_cols : int, optional Maximum number of columns to display in the console. show_dimensions : bool, default False Display DataFrame dimensions (number of rows by number of columns). decimal : str, default '.' Character recognized as decimal separator, e.g. ',' in Europe. rcommon_docstringz Returns ------- str or None If buf is None, returns the result as a string. Otherwise returns None. return_docstringc~]tRt^tRtRRRRRRRRRR R R R RR R RR / RRlltRRltRRltRRltRRlt Rt R #)SeriesFormatterzP Implement the main logic of Series.to_string, which underlies Series.__repr__. lengthTheaderindexna_repNaNnameF float_formatNdtypemax_rowsmin_rowscDV^8dQhRRRRRRRRRR R RR R R RRRRRRR/ #)seriesrArF bool | strrGboolrHrIstrrKrL str | NonerMrN int | NonerOreturnNone)formats"h/Users/max/.openclaw/workspace/postharvest/venv/lib/python3.14/site-packages/pandas/io/formats/format.py __annotate__SeriesFormatter.__annotate__sx     ! c  Wn\4VnW`nWPnW0nW nW@nWnWn Vf \R4pWpn Wn \P!4VnVP!4R#)Ndisplay.float_format)rRr bufrKrIrGrFrHrNrOrrLrMr3get_adjustmentadj _chk_truncate) selfrRrFrGrHrIrKrLrMrNrOs &&$$$$$$$$$r\__init__SeriesFormatter.__init__sm :        %&<=L( **, r_cV^8dQhRR/#rQrXrYrZ)r[s"r\r]r^s??t?r_c .VVPpVPpT;'d\VP4V8pVPpV'd\ \ V4pV'd \ W4pV^8XdTpVPRVpMnV^,p\V4p\P!\P!V4\P!We, V4.4pVPV,pWPn MRVn W@n W0n R#)N)rOrNlenrRrintminilocnphstackarange tr_row_num tr_seriesis_truncated_vertically)rfrOrNrvrRrow_num_len_slices& r\reSeriesFormatter._chk_truncates ====#+"L"LDKK0@80K "C*Hx21}"Yh/"a-6{YYw'4>4)HI V,%O"DO'>$r_cV^8dQhRR/#rQrXrUrZ)r[s"r\r]r^s((S(r_c VPPpRpVPPp\V\\ \ 34'd%VPeVRVP 2, pVPRJd:Ve6V'd VR, p\P!VR R7pVRV 2, pVPRJg$VPR 8XdCVP'd1V'd VR, pVR \VP4 2, pVPRJdiVPe[\VP PR R4pV'd2V'd VR, pVR \P!V4 2, p\VP P\"4'd>VP P$P'4pV'd VR, pW&, p\)V4#)NzFreq: Fz,  ) escape_charszName: TtruncatezLength: rKzdtype:   r)rRrKrH isinstancer/r-r0freqfreqstrr3 pprint_thingrFrvrmrMgetattrrur!_values_get_repr_footerrU)rfrKfooterrH series_name dtype_name level_infos& r\ _get_footerSeriesFormatter._get_footers{{ !! u}k>J K K & u}}o. .F 99E !d&6$"//CUVK {m, ,F ;;$  KK: %$*F*F*F$ T[[!1 23 3F ::U "tzz'= !5!5vtDJdNFGH$9$9*$E#FGG dnn**,< = =//@@BJ$  F6{r_cV^8dQhRR/#rQrX list[str]rZ)r[s"r\r]r^,s  y r_c \VPPRVPVPVP R7#)N)rLrI leading_space) format_arrayrurrLrIrHrfs&r\_get_formatted_values%SeriesFormatter._get_formatted_values,s6 NN " " **;;**   r_cV^8dQhRR/#r|rZ)r[s"r\r]r^5s+$+$3+$r_c VPpVP4p\V4^8Xd&\VP4P RV R2#VP p\V4p\V\4'dMVPRRR7p\P!4pVP!^.VO5!PR4pMVPRR7pVP!4pVP"'d^pVP$p \'\(V 4p VP*PWy^, ,4p V ^8dRp MR p VP*P-V .V R R 7^,p VP/W,V 4VP/V ^,R 4VP 'd)VP*P!^.VR ,V.O5!p MVP*P^V4p VP0'd V'dV^,R,V ,p V'dV RV,, p \3R P5V 44#)z([], )TN) include_namessparsifyr include_name...z..centermoder~rlNN)rurrmtyperR__name__rH _has_namesrr, _format_multir3rcadjoinsplit _format_flatrrvrtrrnrdjustifyinsertrGrUjoin) rfrRrrH have_header fmt_indexrd fmt_values n_header_rowsrwwidthdot_strresults & r\ to_stringSeriesFormatter.to_string5s!!# v;! 4;;'001vha@ @  ' eZ ( (++$+NI))+C 11y177=I***=I//1  ' ' 'MooG3(GHHLLaK!89Eqyhh&&y%h&GJG   g5w ?   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Example ------- >>> import pandas as pd >>> >>> df = pd.DataFrame([[1, 2], [3, 4]]) >>> repr_params = pd.io.formats.format.get_dataframe_repr_params() >>> repr(df) == df.to_string(**repr_params) True )consolezdisplay.expand_frame_reprNrNdisplay.max_rowsrOdisplay.min_rowsmax_colszdisplay.max_columns max_colwidthdisplay.max_colwidthshow_dimensionsdisplay.show_dimensions line_width)pandas.io.formatsrrget_console_size)rr_s r\get_dataframe_repr_paramsrcsp*-..002 A J12J12J45 #9::&?@j  r_cV^8dQhRR/#rrZ)r[s"r\r]r]sr_c \4wr\R4pV^8XdTMTpV^8XdTM \R4pRRRRRVRVR\R 4/#) aGet the parameters used to repr(Series) calls using Series.to_string. Supplying these parameters to Series.to_string is equivalent to calling ``repr(series)``. This is useful if you want to adjust the series repr output. Example ------- >>> import pandas as pd >>> >>> ser = pd.Series([1, 2, 3, 4]) >>> repr_params = pd.io.formats.format.get_series_repr_params() >>> repr(ser) == ser.to_string(**repr_params) True rrrKTrMrOrNrFr)r r)rheight max_rows_optrNrOs r\get_series_repr_paramsrsf&'ME01L%*v H%*v ;M0NH HH*67  r_cR]tRtRtRt]'d]MRt]]],, tRJRRlltRRlt] R R l4t ] R R l4t ] R Rl4t ] RRl4t ] RRl4t] RRl4t] RRl4t] RRl4t] RRl4t] RRl4tRRltRR ltR!R"ltR#R$ltR%R&ltR'R(ltR)R*ltR+R,ltR-R.ltR/R0ltR1R2ltR3R4ltR5R6lt R7R8lt!R9R:lt"R;R<lt#R=R>lt$R?R@lt%RARBlt&RCRDlt'RERFlt(RGRHlt)RIt*R#)KDataFrameFormatteriz{ Class for processing dataframe formatting options and data. 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See description here: https://pandas.pydata.org/docs/dev/user_guide/options.html#frequently-used-options GH #37359 )rmrrOro)rfrNs&&r\rN#DataFrameFormatter._adjust_max_rowsds4 DJJ(* t}}h7r_cV^8dQhRR/#rrZ)r[s"r\r]rrs>>>r_c `\VP^8H;'gVP^8H4#)z/Check if the output is to be shown in terminal.)rTrrNrs&r\rG"DataFrameFormatter._is_in_terminalrs'DMMQ&<<$--1*<==r_cV^8dQhRR/#rrZ)r[s"r\r]rvsPPdPr_c \VP^8H;'d#\VPP4V84#r)rTrrmrr)rf max_widths&&r\rH$DataFrameFormatter._is_screen_narrowvs2DMMQ&NN3tzz/A/A+BY+NOOr_cV^8dQhRR/#rrZ)r[s"r\r]rysIIdIr_c r\VP^8H;'d\VP4V84#rX)rTrNrmr)rf max_heights&&r\rM#DataFrameFormatter._is_screen_shortys+DMMQ&GG3tzz?Z+GHHr_cV^8dQhRR/#r%rZ)r[s"r\r]r|s  s r_c ^p^pW,pVP'd+V\VPP44, pVP'd V^, pV#)z?Get number of rows occupied by prompt, dots and dimension info.)rrmr splitlinesrG)rfdot_row prompt_rownum_rowss& r\rL0DataFrameFormatter._get_number_of_auxiliary_rows|sU '     D00;;=> >H ;;; MHr_cV^8dQhRR/#rjrZ)r[s"r\r]rs(($(r_c VP'dVP4VP'dVP4R#R#)zI Check whether the frame should be truncated. If so, slice the frame up. N)r_truncate_horizontallyrv_truncate_verticallyrs&r\rDataFrameFormatter.truncates9  ) ) )  ' ' )  ' ' '  % % ' (r_cV^8dQhRR/#rjrZ)r[s"r\r]rs'''r_c VPfQhVP^,pV^8d\VPP4p\P !\P !V4\P !W!, V4.4pVPPRV3,Vn\VP\\34'd'.VPRVOVPV)ROVn M@\\VP4pVPPRRV13,VnWnR#)zRemove columns, which are not to be displayed and adjust formatters. Attributes affected: - tr_frame - formatters - tr_col_num NNNN)rrmrrrqrrrsrprrlisttuplerrnr tr_col_num)rfcol_numrxrys& r\rh)DataFrameFormatter._truncate_horizontallys##///&&!+ a<t}},,-DYY ' 2BIIdnd4STUF MM..q&y9DM$//D%=99#__Xg.#__gXY/# 3 .G MM..q(7({;DM&r_cV^8dQhRR/#rjrZ)r[s"r\r]rs""d"r_c VPfQhVP^,pV^8d\VP4p\P!\P !V4\P !W!, V4.4pVPP V,VnM@\\VP4pVPP RV1R3,VnWn R#)zbRemove rows, which are not to be displayed. Attributes affected: - tr_frame - tr_row_num Nrm) rrmrrqrrrsrprrnrNrt)rfrwrxrys& r\ri'DataFrameFormatter._truncate_verticallys##///&&!+ a<t}}%DYY ' 2BIIdnd4STUF MM..v6DM3 .G MM..xx{;DM!r_cV^8dQhRR/#rrZ)r[s"r\r]rs--O-r_c  na.p\SP4'gSP'g\SP4Fmwr#SP V4p\ VSP \SPPV^44SPR7pVPV4Ko V#\SP4'd\\\,SP4Sn\SP4\SP 48wd9\#R\SP 4 R\SP4 R24hSPUu.uFqU.NK ppMSP%SP4pSP&'dVFpVPR4K \SP4Fwr#Wb,p\)\SPPV^44.V3RlV4O5!p SP V4p\ VSP V SPR7p\).V3RlV4OV N5!p SPP WSP R 7pVPW,4K V#uupi) r)stringsrminimumrdzWriting z cols but got z aliasesr~c3Z<"TF pSPPV4xK" R#5irrdrm.0xrfs& r\ @DataFrameFormatter._get_strcols_without_index..s0R'Qa'(+)ryrdc3Z<"TF pSPPV4xK" R#5irr{r|s& r\rrs@ZDHHLLOOZrr)rrG enumerater format_col_make_fixed_widthrrnrgetrdappendrrnrUrmrr1_get_formatted_column_labelsrmax) rfricrlabel str_columnsr~cheaderheader_colwidthmax_lens f r\r-DataFrameFormatter._get_strcols_without_indexs#%DKK((!$--0!__Q/ .& LL 2 21a 89  z*1N  $ $tCy$++6DK4;;3t||#44 s4<<012"4;;/0:15 < u7 KVPpVPV4p\VPRV3,PVVP VP VPPVPV,4VPVPR7#)rm)rLrIspacerr) r_get_formatterrrprrLrIrrrrrH)rfrr formatters&& r\rDataFrameFormatter.format_colsz ''*  JJq!t  $ $ **;;..$$U]]1%56LL**  r_c V^8dQhRRRR/#)rQr str | intrXCallable | NonerZ)r[s"r\r]rs 0 0 0o 0r_c Z\VP\\34'd7\ V4'd$\ \ V4pVPV,#R#\ V4'd$WP9dVPV,pVPPVR4#r) rrrnrorrrnrr)rfrs&&r\r!DataFrameFormatter._get_formatterss dooe} 5 5!}}aLq))!}},,!6LLO??&&q$/ /r_c V^8dQhRRRR/#)rQrr@rXrrZ)r[s"r\r]rs)r_c @^RIHpVPp\V\4'ddVP RRR7pVP 'd\V4'd V!V4p\VRR/Uu.uFp\V4NK ppV#VPRR7p\\W@PPRR74UUUu.uF<wpwrXVPV4'g\V4'd RV,MT.NK> ppppV#uupiuupppi) r)sparsify_labelsF)rrr=Trr< )pandas.core.indexes.multirrrr,rrrmrArnrrrdtypesrr) rfrrr fmt_columnsr~rrrMs && r\r/DataFrameFormatter._get_formatted_column_labelss=-- gz * *!//e/TK}}}[!1!1-k: ,/,JT,JK,Jq47,JKK"..E.BK&/ ZZ%6%6uE&  &MAz ..q116Fu6M6M!G &  L s 4D ADc V^8dQhRRRR/#)rQrr@rXrrZ)r[s"r\r]r!s'')' 'r_c  jVPP4UUu/uFwr#V\\V4bK pppVPpVP pVP R4p\V\4'd*VPVPVPVR7pMVPVPVR7.pVU u.uF>p \\\V 4RVP!R^4VP"R74NK@ pp VP"P$!^.VO5!P'R4p VP('d*VP+4U u.uFp \-V 4NK p p MR.VP.,p VP0'd W,#V #uuppiuup iuup i) __index__)rrr)rrleftr~)rryrdr)ritemsrrnrHrrrr,rrrrrorrnrrdrrr"_get_column_name_listrUnlevelsrG) rfrkvrrHrfmtrr~adjoined col_headers && r\r'DataFrameFormatter._get_formatted_index!s261E1E1GH1GQS! _1G H --!!+. eZ ( (++"55,I""0G0GSV"WI   !GVY]]2q5Itxx    88??11y177=  " " "*.*D*D*FG*FQ#a&*FJGJ/J ;;;( (OII  HsF%AF+F0cV^8dQhRR/#)rQrXzlist[Hashable]rZ)r[s"r\r]rJs~r_c .pVPPp\V\4'd%VP RVP 44V#TP VPfRM VP4V#)c30"TF qfRMTxK R#5i)Nr~rZ)r}rKs& r\r;DataFrameFormatter._get_column_name_list..NsP-$|5-sr~)rrrr,extendnamesrrK)rfrrs& r\r(DataFrameFormatter._get_column_name_listJsb "**$$ gz * * LLP'--P P  LLw||3 F r_c V^8dQhRRRR/#)rQrrrXrZ)r[s"r\r]rSs FF)F Fr_c Ve\V4'dV#\V\4'd(RV9dV#VPR4pVP#\ R4h \\ \ 3dp\ RT: 24ThRp?ii;i)zd Validates and processes the float_format argument. Converts new-style format strings to callables. N%g?z Invalid new-style format string z)float_format must be a string or callable)callablerrUr[r1KeyError IndexError)rfrres&& r\r)DataFrameFormatter._validate_float_formatSs ;(3--J c3  cz X 3A::%DEE#Hj9X$'Gw%OPVWWXsA B 6BB )rdrrrrrrLrrrGrHrrrrNrrOrIrrrrprrt)NNTTrJNNNNTNNNF.FT)+rrrrrrBrCrgrpropertyrrrrvrrrrr"r'rrrrrrrrNrGrHrMrLrrhrirrrrrrrrrZr_r\rrs} !gbG "222G--^   TTYYWWSS,,..NNPPFF  &0 !/& >PI ('4"$-^   02'RFFr_rcV]tRtRtRtRRltR RRlltRRR lltRR R lltR t R#)DataFrameRendererikaClass for creating dataframe output in multiple formats. Called in pandas.core.generic.NDFrame: - to_csv - to_latex Called in pandas.DataFrame: - to_html - to_string Parameters ---------- fmt : DataFrameFormatter Formatter with the formatting options. c V^8dQhRRRR/#)rQrrrXrYrZ)r[s"r\r]DataFrameRenderer.__annotate__|s.4r_c WnR#rr)rfrs&&r\rgDataFrameRenderer.__init__|sr_Nc8V^8dQhRRRRRRRRR R R RR RR R/#)rQrb"FilePath | WriteBuffer[str] | NoneencodingrVclasseszstr | list | tuple | NonenotebookrTborderzint | bool | Nonetable_id render_linksrXrZ)r[s"r\r]rsd5B5B /5B5B+ 5B  5B " 5B5B5B 5Br_c ^RIHpHp V'dT MTp V !VPVVVVR7p V P 4p \ WVR7#)us Render a DataFrame to an html table. Parameters ---------- buf : str, path object, file-like object, or None, default None String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a string ``write()`` function. If None, the result is returned as a string. encoding : str, default “utf-8” Set character encoding. classes : str or list-like classes to include in the `class` attribute of the opening ```` tag, in addition to the default "dataframe". notebook : {True, False}, optional, default False Whether the generated HTML is for IPython Notebook. border : int or bool When an integer value is provided, it sets the border attribute in the opening tag, specifying the thickness of the border. If ``False`` or ``0`` is passed, the border attribute will not be present in the ``
`` tag. The default value for this parameter is governed by ``pd.options.display.html.border``. table_id : str, optional A css id is included in the opening `
` tag if specified. render_links : bool, default False Convert URLs to HTML links. ) HTMLFormatterNotebookFormatter)rrrrrbr)pandas.io.formats.htmlrrrrsave_to_buffer) rfrbrrrrrrrrKlasshtml_formatterstrings &&&&&&&& r\to_htmlDataFrameRenderer.to_htmlsNL &.!= HH%   ))+fAAr_c(V^8dQhRRRRRRRR/#)rQrbrrrVrrWrXrZ)r[s"r\r]rs8BB /BB B  Br_c p^RIHpV!VPVR7pVP4p\ WaVR7#)u Render a DataFrame to a console-friendly tabular output. Parameters ---------- buf : str, path object, file-like object, or None, default None String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a string ``write()`` function. If None, the result is returned as a string. encoding: str, default “utf-8” Set character encoding. line_width : int, optional Width to wrap a line in characters. )StringFormatter)rr)pandas.io.formats.stringrrrr)rfrbrrrstring_formatterrs&&&& r\rDataFrameRenderer.to_strings3( =*488 K!++-fAAr_c"\V^8dQhRRRRRRRRR R R RR R RRRRRRRRRRRRRRRRRRRR/#)rQ path_or_bufz7FilePath | WriteBuffer[bytes] | WriteBuffer[str] | NonerrVseprUrzSequence[Hashable] | None index_labelzIndexLabel | Noner compressionr8quotingrW quotecharlineterminator chunksize date_format doublequoterT escapecharerrorsstorage_optionszStorageOptions | NonerXrZ)r[s"r\r]rs99L99 9 + 9 ' 99(999#99 999 !9"/#9$ %9r_c b^RIHpVfRp\4pMRpV!R/RVbRV bRVbRVbR VbR VbR VbR VbR VbRVbRV bRV bRV bRV bRVbRVbRVPbpVP 4V'd;\ V\4'gQhVP 4pVP4V#R#)z+ Render dataframe as comma-separated file. ) CSVFormatterNTFrrrrrrrr8rrrrrrrrrrZ)pandas.io.formats.csvsrr rsavergetvalueclose)rfrrrrrrrrrrrrrrrrrcreated_buffer csv_formattercontents&&&&&&&&&&&&&&&&& r\to_csvDataFrameRenderer.to_csvs, 8  !N"*K"N$ # )      $    $      $ $ " ,! "hh# &  k844 44!**,G    Nr_r)NNNFNNF)NNN)NN,NNwinferN"NNNTNr=N) rrrrrrgrrrrrZr_r\rrks# 5BnB499r_rc(V^8dQhRRRRRRRR/#)rQrrUrbrrrVrXrZ)r[s"r\r]r] s0     +   r_c\WR7;_uu_4pVPV4VfVP4uuRRR4#RRR4R# +'giR#;i)zI Perform serialization. Write to buf or return as string if buf is None. )rN) _get_bufferwriter)rrbrfds&&& r\rr sG S , ,  ;;;= - ,  - , , ,s%AA A! c$V^8dQhRRRRRR/#)rQrbrrrVrXz1Generator[WriteBuffer[str]] | Generator[StringIO]rZ)r[s"r\r]r]s)MM +M7AM6Mr_c#"Ve \V4pM \4pVfRpM!\V\4'g \ R4h\ VR4'dVxR#\V\4'd;\ \V44\VRVRR7;_uu_4pVxRRR4R#\R4h +'giR#;i5i) zt Context manager to open, yield and close buffer for filenames or Path-like objects, otherwise yield buf unchanged. Nzutf-8z1buf is not a file name and encoding is specified.rrr~)rnewlinez1buf is not a file name and it has no write method) r2r rrUr1hasattrr1open TypeError)rbrfs&& r\rrs S!j S ! !LMMsG C  s3x( #sXr : :a G ; :KLL; : :sBC B8#C 8 C  C cHV^8dQhRRRRRRRRR R R R R RRRRRRR RRRR/ #)rQvaluesr4rrrLrrIrUdigitsrWrzstr | int | Nonerrrrrfallback_formatterrXrrZ)r[s"r\r]r]BsR R R R )R   R  R  R R R R R (R R r_c \P!VPR4'd\p \ \ V4pM\ VP\4'd\p \ \ V4pM\P!VPR4'd\p \ \V4pM\ VP\4'd\p Mb\P!VPR4'd\p M4\P!VPR4'd\p M\p Vf^ pVf \!R4pVf \!R4pV !VVVVVVVVVV V R7 p V P#4#)a= Format an array for printing. Parameters ---------- values : np.ndarray or ExtensionArray formatter float_format na_rep digits space justify decimal leading_space : bool, optional, default True Whether the array should be formatted with a leading space. When an array as a column of a Series or DataFrame, we do want the leading space to pad between columns. When formatting an Index subclass (e.g. IntervalIndex._get_values_for_csv), we don't want the leading space since it should be left-aligned. fallback_formatter Returns ------- List[str] Mmfciuradisplay.precision) rrIrLrrrrrrr)r is_np_dtyperM_Datetime64Formatterrr'rr"_Datetime64TZFormatter_Timedelta64Formatterr)r#_ExtensionArrayFormatterFloatArrayFormatter_IntArrayFormatter_GenericArrayFormatterr get_result) r rrLrIrrrrrrr fmt_klassfmt_objs &&&&&&&&&&& r\rrBs)R v||S))( mV, FLL/ 2 2* mV, s + +) nf- FLL. 1 1, t , ,' t , ,& *  }!"89  ~/0!#- G    r_c>]tRtRtR RRlltRRltRRltR tR#) riNcLV^8dQhRRRRRRRRR R R R R RRRRRRRRRRRRR/ #)rQr r4rrnrrrIrUrrrLrrrrrW fixed_widthrTrrrrXrYrZ)r[s"r\r]#_GenericArrayFormatter.__annotate__s5555# 5  5  5-55555#5,5 5r_c  WnW nW@nWPnW0nW`nWpnWnWnWn Wn Wn R#r) r rrIrrrLrrrr#rr) rfr rrrIrrLrrrr#rrs &&&&&&&&&&&&&r\rg_GenericArrayFormatter.__init__sD    "(   &*"4r_cV^8dQhRR/#rrZ)r[s"r\r]r$s;;I;r_c LVP4p\WP4#r)_format_stringsrr)rfrs& r\r!_GenericArrayFormatter.get_results))+  \\::r_cV^8dQhRR/#rrZ)r[s"r\r]r$sDDDr_c  daa a SPf"\R4pVf\R4o V 3RlpM SPpSPeSPo M`SPeSPo MESPRJ;'dSP\ 8gp\ \PR VR7o V V3RlpSPp\V\P4'g \R4h\P!V\ 4pV\P"!\%V4\'\)^\+VP,444R7,pSP.pVfVP14p.p\3V4FwrWi,'dSPe%V'dVP5RV!V 4 24KEWi,'dVP5V!V 44KlVR JdR p MR p VP5V P7V!V 4R 74K V#)Nrarc(<\VRSR R2 4#)z .dr )_trim_zeros_single_float)r~ precisions&r\8_GenericArrayFormatter._format_strings..s)AIa=)**r_)r quote_stringsc<SPe\V4'dy\V4'dhVfR#V\Jd\ \4#V\ Jg1\ V\P\P34'dR#SP#\ V\4'd \ V4#\ S!V44#)NrYr) rIr r$rrUrrrq datetime64 timedelta64r*)r~rrfs&r\_format7_GenericArrayFormatter._format_strings.._formats{{&9Q<> %I  $ $ 0//I LL4SS9SM%%/+I ){{$ ++O ==x0 ffU4[uU1c$**o-F'GH I  **  )--/M dODA!$$(B !!Agaj\"23!!!!,q/2 E) C C!!#**wqz*":;$r_) rrrr#rLrrrrIrrr ) NrJ NrightrNTTN)rrrrrgrr)rrZr_r\rrs58;DDr_rcVa]tRtRtRV3RlltR RRlltRRltRR ltR tV;t #) ricV^8dQhRR/#rjrZ)r[s"r\r] FloatArrayFormatter.__annotate__s ) )4 )r_c <\SV`!V/VBVPeOVPf?RVn\ VP4'dVPVnRVnR#R#R#R#NF)superrgrLrr#r)rfargskwargs __class__s&*,r\rgFloatArrayFormatter.__init__sh $)&)    (T^^-C$D ))**!%!2!2$(!+.D (r_c$V^8dQhRRRRRR/#)rQrLr thresholdz float | NonerXrrZ)r[s"r\r]rI s(66,6 6  6r_c aaaaaSf SPoS'd VV3RloMV3RloSPR8wd VV3RloMSoSfS#VVV3RlpV#)z;Returns a function to be applied on each value to format itc\<SfQh\V4'd S!VR7#SP#)N)value)r%rI)rrLrfs&r\base_formatter.base_formatters7#/// Qxx!q)r_cT<\V4'd \V4#SP#r)r%rUrI)rrfs&r\rVrW+s!&qs1v:t{{:r_rcJ<S!V4PRSP^4#r)replacer)rrVrfs&r\decimal_formatter?FloatArrayFormatter._value_formatter..decimal_formatter0s!%a(00dllAFFr_c~<\V4'd!\V4S8d S!V4#S!R4#SP#)g)r%absrI)rUr\rfrRs&r\r7FloatArrayFormatter._value_formatter..formatter9s8U||u: ),U33,S11{{"r_)rLr)rfrLrRrrVr\sfff @@r\_value_formatter$FloatArrayFormatter._value_formatter sZ  ,,L   ; <<3  G!/   $ $ #r_cV^8dQhRR/#)rQrX np.ndarrayrZ)r[s"r\r]rIDsA A ZA r_c aa a a RRlo RRlo SPe)S !SPSPSP4#SP'd \ R4o MRo V V VV 3RlpSP fWSP'd8SP RJdR pMR p\VPSPR 7pMSP pMV3R lpV!V4pSP'gV#\V4^8d*\R V44pVSP^,8pMRp\P!SP4pVR8P4pV^ SP),8V^8,P4p V 'gV'dGV'd?SP RJdRpMRp\VPSPR 7pV!V4pV#)zp Returns the float values converted into strings using the parameters given at initialisation, as a numpy array c(V^8dQhRRRRRRRR/# rQr r4rrrIrUrXrdrZ)r[s"r\r]=FloatArrayFormatter.get_result_as_array..__annotate__Js,   *2 .format_with_na_repJsz.format_complex_with_na_repVsI''&///1K''&///1K#' #4d;6GyM=@  >9x'w!((38 !((Ih,?+@&)KL %.x%8%>%>%@N%0055%,,x7Gq-IJ%,,xq8H-JK!((F81VHA)>?)>*88M*226<<@ @r_Nzdisplay.chop_thresholdc<SPVS 4pSPR8XdRSP,M SPpSPp\ V4pV'd S!W1V4pM S!W1V4pSP 'dNV'd\ VSP4pM\VSP4p\P!VRR7#V#)rrobjectrM) rarrIr rr#_trim_zeros_complexr_trim_zeros_floatrqasarray) rLrrIr  is_complexrrrprfrRs & r\format_values_withCFloatArrayFormatter.get_result_as_array..format_values_with}s--lIFI+/,,&*@S4;;&dkkF[[F)&1J3FvN+FvF0FF.vt||DFzz&99Mr_Tz{value: .{digits:d}f}z{value:.{digits:d}f})rc*<SPV,#r)rL)rUrfs&r\r19FloatArrayFormatter.get_result_as_array..s):):U)Br_c38"TFp\V4xK R#5irrmr}r~s& r\r:FloatArrayFormatter.get_result_as_array..s:)9AQ)9Fg.Az{value: .{digits:d}e}z{value:.{digits:d}e})rr rIr#rrLrr r[rrmrrqr_r>) rfrfmt_strrLformatted_valuesmaxlentoo_longabs_valshas_large_valueshas_small_valuesrrprRs f @@@r\get_result_as_array'FloatArrayFormatter.get_result_as_arrayDs  A< >> %%dkk4>>4;;O O    "#;>$++FL1,? r_cV^8dQhRR/#rrZ)r[s"r\r]rIs000r_c 4\VP44#r)rnrrs&r\r)#FloatArrayFormatter._format_stringssD,,.//r_)r#rLrNN) rrrrrgrarr)r __classcell__rOs@r\rrs$ ) )6pA F00r_rc"]tRtRtRRltRtR#)ricV^8dQhRR/#rrZ)r[s"r\r]_IntArrayFormatter.__annotate__sr_c VPRJdRpMRpVP;'gTpVPUu.uF q2!V4NK ppV#uupi)Fc*VR PVR7#)r.r~r[rs&r\r14_IntArrayFormatter._format_strings..s1ooo&:r_c*VR PVR7#)z drrrs&r\r1rs2&6&6&6&;r_)rrr )rf formatter_strrr~rs& r\r)"_IntArrayFormatter._format_stringssR    &:M;MNN33m ,0KK8KqilK 89sArZN)rrrrr)rrZr_r\rrs r_rcJa]tRtRt$R]R&R RV3RllltRRltRtV;t#) rir'r c(V^8dQhRRRRRRRR/#)rQr r'nat_reprUrrYrXrZ)r[s"r\r]!_Datetime64Formatter.__annotate__s2 ' ' ' ' '  'r_c B<\SV`!V3/VBW nW0nR#r)rLrgrr)rfr rrrNrOs&&&&,r\rg_Datetime64Formatter.__init__s" *6* &r_cV^8dQhRR/#rrZ)r[s"r\r]rs # # #r_c VPpVPe!VUu.uFq PV4NK up#VPVPVPR7pVP 4#uupi)z&we by definition have DO NOT have a TZ)rIr)r r_format_native_typesrrtolist)rfr r~rs& r\r)$_Datetime64Formatter._format_stringssk >> %/56v!NN1%v6 600<  fk * *//1EJJvV4E!  **;;;;**LLLL,,LL1  r_rZNrrrrrr)rrZr_r\rrs r_rc V^8dQhRRRR/#)rQ percentilesnp.ndarray | Sequence[float]rXrrZ)r[s"r\r]r]s?"?"-?"?"r_c\V4^8Xd.#\P!V4p\V4'd?\P!V^84'd \P!V^8*4'g \ R4h^dV,p\ V4pVPV4P\4p\P!W 4p\P!V4'd.VP\4pVUu.uF qUR,NK up#\P!V4p\ V4p\P!V\R7pW,P4P\4P\4WC&W(,PV4P\4WC(&VUu.uF qUR,NK up#uupiuupi)a# Outputs rounded and formatted percentiles. Parameters ---------- percentiles : list-like, containing floats from interval [0,1] Returns ------- formatted : list of strings Notes ----- Rounding precision is chosen so that: (1) if any two elements of ``percentiles`` differ, they remain different after rounding (2) no entry is *rounded* to 0% or 100%. Any non-integer is always rounded to at least 1 decimal place. Examples -------- Keeps all entries different after rounding: >>> format_percentiles([0.01999, 0.02001, 0.5, 0.666666, 0.9999]) ['1.999%', '2.001%', '50%', '66.667%', '99.99%'] No element is rounded to 0% or 100% (unless already equal to it). Duplicates are allowed: >>> format_percentiles([0, 0.5, 0.02001, 0.5, 0.666666, 0.9999]) ['0%', '50%', '2.0%', '50%', '66.67%', '99.99%'] z/percentiles should all be in the interval [0,1]rr)rmrqrrrr1 get_precisionroundastyperniscloserUunique empty_liker)rprecpercentiles_round_typeint_idxoutr unique_pctss& r\format_percentilesrssD ;1 **[)K [ ) )vvkQ&''vvkQ&''JKK #K  %D(..t4;;C@jj/=G vvg$++C0!$%AC%%))K(K  %D -- 6 2C'--/66s;BB3GCL)//5<D t9D HHRXXbffTl+ , 3 3C 8 8D q$.}s4 wK r_c<\VSR7#)r)rrs&r\r1rs +Aw?r_rZ)rrrs&ffr\get_format_datetime64rvs   @?r_c.]tRtRt$R]R&RRltRtR#)rir'r cV^8dQhRR/#rrZ)r[s"r\r]#_Datetime64TZFormatter.__annotate__s   r_c VPPpVPP\4pVP;'g\ WP R7pVUu.uF qC!V4NK ppV#uupi)zwe by definition have a TZ)r)r _is_dates_onlyrrrrr)rfidor rr~rs& r\r)&_Datetime64TZFormatter._format_stringssnkk((##F+NN  &; --' -33FqilF 34s$A8rZNrrZr_r\rrs   r_rcJa]tRtRt$R]R&R RV3RllltRRltRtV;t#) rir)r c$V^8dQhRRRRRR/#)rQr r)rrUrXrYrZ)r[s"r\r]"_Timedelta64Formatter.__annotate__s(  r_c 6<\SV`!V3/VBW nR#r)rLrgr)rfr rrNrOs&&&,r\rg_Timedelta64Formatter.__init__s *6* r_cV^8dQhRR/#rrZ)r[s"r\r]rs333r_c VP;'g#\VPVPRR7pVPUu.uF q!!V4NK up#uupi)F)rbox)rget_format_timedelta64r r)rfrr~s& r\r)%_Timedelta64Formatter._format_stringssNNN  &< KK5' '+kk2k ! k222sArrrrs@r\rrs 33r_rc(V^8dQhRRRRRRRR/#) rQr r)rz str | floatrrTrXrrZ)r[s"r\r]r]s0    r_cNaaaVPpV'dRoMRoVVV3RlpV#)z Return a formatter function for a range of timedeltas. These will all have the same format argument If box, then show the return in quotes Nlongc<Ve#\V4'd\V4'dS#\V\4'g \V4pVP SR7pS'dRV R2pV#)Nr')r r$rr _repr_base)r~rrr[rs& r\r*get_format_timedelta64.._formattersZ 91$q''N!Y''! AV, ]F r_)r)r rr even_daysrr[s&ff @r\rrs*%%I  r_c ,V^8dQhRRRRRRRRR R/#) rQrxrrrUryrWrdzprinting._TextAdjustment | NonerXrZ)r[s"r\r]r]s:   )   r_cdaaa \V4^8XgVR8XdV#Vf\P!4oMVo\V3RlV44o Ve \VS 4o \ R4oSe S S8dSo RVVV 3RllpVUu.uF qT!V4NK ppSP VS VR7pV#uupi)rrc3F<"TFpSPV4xK R#5irr)r}r~ adjustments& r\r$_make_fixed_width..s5W*..##Ws!rc V^8dQhRRRR/#)rQr~rUrXrZ)r[s"r\r]'_make_fixed_width..__annotate__sr_c~<Se8S^8SPV4S8,'dVRS^, R,pV#)Nrr)r~rconf_maxrs&r\just_make_fixed_width..justs@  1 !2W!<==m! $u,r_r)rmr3rcrrr) rxrryrdrr~rrrrs &&&& @@@r\rrs  7|qGu, {,,.  5W55Ggw'01H( 2 !((1tAwG(   w  ?F M)sB-c$V^8dQhRRRRRR/#)rQ str_complexesr4rrUrXrrZ)r[s"r\r]r]s!y3r_c..r2VF`p\P!RV4pVPRPVRR 44VPRPVR R 44Kb \ V4p\ W#,V4p\ V4^8Xd.#\ RV44^, p\VRVWvRRR7U U u.uF/wrV V ^,,V R,RV 2 ,R ,NK1 p p p V #uup p i) z} Separates the real and imaginary parts from the complex number, and executes the _trim_zeros_float method on each of those. z (?.s;ldD lrTr<r>ru)rerrrrmrrrA) rr real_part imag_partr~trimmedn padded_parts padded_lengthreal_ptimag_ptpaddeds && r\rrs# ry  ((+Q/"./B01 MA$Y%:GDL <A ;l;;a?M !$L!$4l26Ft T  !U G  !*  R[=/) * ,   !U   Ms5Dc V^8dQhRRRR/#)rQ str_floatrUrXrZ)r[s"r\r]r] s    r_chVPR4pVPR4'd VR, pV#)zL Trims trailing zeros after a decimal point, leaving just one if necessary. 0r)rstripendswith)r,s&r\r/r/ s5   %I#S r_c$V^8dQhRRRRRR/#)rQ str_floatsArrayLike | list[str]rrUrXrrZ)r[s"r\r]r]s$!!%!03!!r_c`aaTp\P!RV R24oRV3RlloRV3RllpV!V4'd'VUu.uFpS!V4'dVRR MTNK ppK4VUu.uF3pS!V4'd!VPV4'd VR,MTNK5 ppV#uupiuupi) zy Trims the maximum number of trailing zeros equally from all numbers containing decimals, leaving just one if necessary. z^\s*[\+-]?[0-9]+\z[0-9]*$cV^8dQhRR/#rrZ)r[s"r\r]'_trim_zeros_float..__annotate__#s55T5r_c6<\P!SV4RJ#r)r!match)r~ number_regexs&r\is_number_with_decimal1_trim_zeros_float..is_number_with_decimal#sxx a(44r_c V^8dQhRRRR/#)rQr r3rXrTrZ)r[s"r\r]r6&s J J1 Jd Jr_c<VUu.uFpS!V4'gKVNK pp\V4^8;'d5\;QJdRV4F 'dK R# R#!RV44#uupi)z Determine if an array of strings should be trimmed. Returns True if all numbers containing decimals (defined by the above regular expression) within the array end in a zero, otherwise returns False. c3B"TFqPR4xK R#5i)r.N)r0rs& r\r9_trim_zeros_float..should_trim../s'IA 3FT)rmr)r r~numbersr:s& r\ should_trim&_trim_zeros_float..should_trim&sc%Bf(>q(A11fB7|aIICC'I'ICCICIC'I'I$IICs A-A-Nr.r)r!compiler0)r2rr$rBr~rr:r9s&& @@r\rrsG::!27)7CDL55 J J g  GNOw!3A661Sb6A=wO A*!,,G1D1DC!K  MPsB& B&)B+<B+B+c V^8dQhRRRR/#)rQrHr+rXrTrZ)r[s"r\r]r]<s&&e&&r_c\V\4'd\P!VP!#VP RJ#r)rr,com any_not_nonerrK)rHs&r\rr<s3%$$--zz%%r_c]tRtRtRt/RRbRRbRRbRRbRRbRRbR R bR!R b^R b^R b^R b^ Rb^ Rb^Rb^Rb^Rb^RbtR"RRlltRRltRtR#)# EngFormatteriCz` Formats float values according to engineering format. Based on matplotlib.ticker.EngFormatter yzar pr%urr~rrGTPEZYNc$V^8dQhRRRRRR/#)rQaccuracyrWuse_eng_prefixrTrXrYrZ)r[s"r\r]EngFormatter.__annotate___s$--"-;?- -r_c WnW nR#rrWrX)rfrWrXs&&&r\rgEngFormatter.__init___s! ,r_c V^8dQhRRRR/#)rQnumfloatrXrUrZ)r[s"r\r]rYes;;E;c;r_c X\\V44p\P!V4'dR#\P!V4'dR#^pV^8dR pV)pV^8wdF\\ \ P !VP4^, 4^,44pM \^4pVP\VPP444pVP\VPP444p\ V4pVP'dVPV,pMV^8d RV)R 2pMRVR 2pW2,^ V,, pVPfRpMRVPR R 2pVPWvR 7p V #) aq Formats a number in engineering notation, appending a letter representing the power of 1000 of the original number. Some examples: >>> format_eng = EngFormatter(accuracy=0, use_eng_prefix=True) >>> format_eng(0) ' 0' >>> format_eng = EngFormatter(accuracy=1, use_eng_prefix=True) >>> format_eng(1_000_000) ' 1.0M' >>> format_eng = EngFormatter(accuracy=2, use_eng_prefix=False) >>> format_eng("-1e-6") '-1.00E-06' @param num: the value to represent @type num: either a numeric value or a string that can be converted to a numeric value (as per decimal.Decimal constructor) @return: engineering formatted string rJinfzE-02dzE+z{mant: g}{prefix}z{mant: .r.z f}{prefix})mantprefixr)r rUis_nan is_infiniternmathrrror ENG_PREFIXESr@rXrWr[) rfr^dnumsignpow10 int_pow10rdrc format_strros && r\__call__EngFormatter.__call__esd(s3x  >>$     t $ $ !8D5D 19C 4::>> df = pd.DataFrame([1e-9, 1e-3, 1, 1e3, 1e6]) >>> df 0 0 1.000000e-09 1 1.000000e-03 2 1.000000e+00 3 1.000000e+03 4 1.000000e+06 >>> pd.set_eng_float_format(accuracy=1) >>> df 0 0 1.0E-09 1 1.0E-03 2 1.0E+00 3 1.0E+03 4 1.0E+06 >>> pd.set_eng_float_format(use_eng_prefix=True) >>> df 0 0 1.000n 1 1.000m 2 1.000 3 1.000k 4 1.000M >>> pd.set_eng_float_format(accuracy=1, use_eng_prefix=True) >>> df 0 0 1.0n 1 1.0m 2 1.0 3 1.0k 4 1.0M >>> pd.set_option("display.float_format", None) # unset option raN)rrJr[s&&r\set_eng_float_formatrtsD%|H'MNr_c$V^8dQhRRRRRR/#)rQlevelsrsentinelzbool | object | strrXzlist[dict[int, int]]rZ)r[s"r\r]r]s$(( (.((r_c:\V4^8Xd.#R.\V^,4,p.pVFfp^p/p\V4F+wrxW','d W8XdKRW'&Wu, We&TpK- \V4V, We&VPV4Kh V#)am For each index in each level the function returns lengths of indexes. Parameters ---------- levels : list of lists List of values on for level. sentinel : string, optional Value which states that no new index starts on there. Returns ------- Returns list of maps. For each level returns map of indexes (key is index in row and value is length of index). TF)rmrr) rvrwcontrolrlevel last_indexlengthsrkeys && r\get_level_lengthsr~s$ 6{a fs6!9~%G F &FAzzco" &'n# '"%j:5 g Mr_c$V^8dQhRRRRRR/#)rQrbzWriteBuffer[str]linesrrXrYrZ)r[s"r\r]r]s"   *  9    r_c\;QJdRV4F 'gK RM RM !RV44'dVUu.uFp\V4NK ppVPRPV44R#uupi)zq Appends lines to a buffer. Parameters ---------- buf The buffer to write to lines The lines to append. c3B"TFp\V\4xK R#5ir)rrUrs& r\r#buffer_put_lines..s -u!:a  ur@TFrN)r>rUrr)rbrr~s&& r\buffer_put_linesrsW s -u -sss -u ---!&'AQ'IIdii(sA7) rrFrrz justify-allstartendinheritz match-parentinitialunsetrr) NrJNNrFrTNNrr)rF)rFNNrZ)F)r~)__conditional_annotations__r __future__rcollections.abcrrrrr contextlibrcsvr rr functoolsr ior rgr!shutilr typingrrrrnumpyrqpandas._config.configrr pandas._libsrpandas._libs.missingrpandas._libs.tslibsrrrpandas._libs.tslibs.nattyperpandas.util._decoratorsrpandas.core.dtypes.commonrrrrrr pandas.core.dtypes.dtypesr!r"r#pandas.core.dtypes.missingr$r%pandas.core.arraysr&r'r(r)pandas.core.baser*pandas.core.commoncorecommonrGpandas.core.indexes.apir+r,r-r.pandas.core.indexes.datetimesr/pandas.core.indexes.timedeltasr0pandas.io.commonr1r2rr3pandas._typingr4r5r6r7r8r9r:r;r<r=r>r?rqr@rArBrVALID_JUSTIFY_PARAMETERSrCrErrrrrrrrrrrrrrrrrrrrrrr/rrrJrtr~r)rs@r\rs #& $ # 0.   *  89'     6%6p %c$c$L>:IFIFX^^B  MMJR jeePI00I0X/#1#65B?"D  @ 1 323(DDB !H&]]@ HAOAOH(V  r_