ujDddlmZddlZddlmZmZddlZddlm Z m Z m Z ddl m Z mZddlmZddlmZmZmZddlmZmZdd lmZdd lmZmZmZmZmZm Z m!Z!dd l"m#Z#m$Z$m%Z%erdd l&m'Z'dd l(m)Z)ddl*m+Z+ddlm,Z,d"dZ- d# d$dZ.d%dZ/d%dZ0d&dZ1d'dZ2d(dZ3d)dZ4d*dZ5d#d+dZ6d,dZ7d-dZ8d.dZ9d/dZ:d0dZ;d1dZ< d# d2d Z= d# d3d!Z>y)4) annotationsN) TYPE_CHECKINGAny) BaseOffsetPeriod to_offset)OFFSET_TO_PERIOD_FREQSTR FreqGroup)is_integer_dtype)ABCDatetimeIndexABCPeriodIndexABCTimedeltaIndex) DatetimeIndexIndex) pprint_thing)PeriodConverterTimeSeries_DateFormatterTimeSeries_DateLocatorTimeSeries_TimedeltaFormatterbday_count_arraybday_offset_arraybday_to_datetime)get_period_alias is_subperiodis_superperiod) timedelta)Axes)NDFrameT)Seriesct|dk(rKt|r|S|j}tt |j t jSt|rHtt j|t j}t|j|S|j|dS)ab Re-express a time-series plotting index at frequency ``freq``. ``index`` is either a PeriodIndex or a plain int64 index of business-day ordinals -- the representation used for BDay data to avoid the deprecated Period[B]. Returns int64 business-day ordinals when ``freq`` is business-daily, otherwise a PeriodIndex at ``freq``. BdtypeS)how) _get_period_aliasr to_timestamprrvaluesnpint64rasarrayr to_periodasfreq)indexfreqdtidt64s q/var/www/html/python-recuperauto-other/env/lib/python3.12/site-packages/pandas/plotting/_matplotlib/timeseries.py_asfreq_plottingr3@s#% E "L  "%cjj1BB E!BCT",,T22 <<#< &&cd|vr tdt|||\}}| td|+||k7r%t||r3|jd}t |j ||_|}||fSt ||rd}t|j r-|jd}t |j d|_t|jd|j}t|j||j}|}||fSt||s t||rt|||||fStd||fS) Nr%zz'how' is not a valid keyword for plotting functions. If plotting multiple objects on shared axes, resample manually first.z.Cannot use dynamic axis without frequency infoFdeeplastDz!Incompatible frequency conversion) ValueError _get_freqrcopyr3r._is_supr getattrresampledropnar_is_sub_upsample_others)seriesaxkwargs index_freqr/ax_freqr%s r2maybe_resamplerHWsi   H  b&*5MD' |IJJtw $ ([[e[,F+FLL'BFLD <T7 #C - %0/ cB 7WV__S1379@@BF;WV__W5s;=DDFFD < $ (GD',B Rv . <@A A <r4c|jdxr td|xs|jdxr t|dSNWr9) startswithrf1f2s r2rArA}s< MM#  8<R#8  c4|B4r4c|jdxr td|xs|jdxr t|dSrJ)rLrrMs r2r=r=s< MM#  :>#r#:  c6~b#6r4c|j}t||\}}t||d}t|dr |j}t|dr |j}|1t||\}}|j ||j ||]|j ddrJt|dkDr;|jj} | dk(rd} |j||d| yyyy) Nleft_axright_axlegendTrNonebest)loctitle) get_legend _replot_axhasattrrRrSextendgetlen get_titleget_textrT) rDr/rErTlineslabelsother_axrlinesrlabelsrXs r2rBrBs ]]_Fr4(ME6r4Hr9::r:;;$Xt4 V g fjj48SZ!^",,.779 F?E %V5 9 >L8r4c\t|dd}g|_|jt||g}g}||D]\}}}|j d}t |j ||_|jj|||ft|trddl m }||j}tj|j} |j|||j j!| fi|d|jt#|j$||fS)N _plot_dataFr6r) PLOT_CLASSES)r>rgclear decorate_axesr<r3r.append isinstancestrpandas.plotting._matplotlibrh_plotr)r+_values _mpl_reprrname) rDr/datararbrCplotfkwdsrhr(s r2rZrZs  2|T *DBMHHJ"d E F #' 5 FE4[[e[,F+FLL$?FL MM &%!6 7%%D$U+11ZZ/F LLr6<<#9#9#;VLtLQO P MM,v{{3 4 5 &=r4cft|dsg|_||_|j}||_y)z(Initialize axes for time-series plottingrgN)r[rgr/ get_xaxis)rDr/xaxiss r2rjrjs. 2| $ BG LLNEEJr4cBt|dd}|Gt|drt|jdd}n#t|drt|jdd}|F|j j |}t |dkDr|D]}t|dd}||S|S)z Get the freq attribute of the ax object if set. Also checks shared axes (eg when using secondary yaxis, sharex=True or twinx) r/NrRrS)r>r[rRrSget_shared_x_axes get_siblingsr^)rDrG shared_axes shared_axs r2 _get_ax_freqrs b&$'G 2y !bjj&$7G R $bkk648G**,99"= { a (  !)VT:& N   Nr4ct|tr|j}|j}n%t |d}|j}|j}t |}|y|dk(r|St |}|dk7r||S|S)NT is_periodr!rz)rlrn rule_coderrabs)r/rfreqstroffsetaliass r2r&r&s$ # FF..440 HH"" W %E } |  AAAvUG} Lr4c|}|=t|jdd}|$t|jdd}t|d}t|}||}t |}||fS)Nr/_inferred_freq_strTr)r>r.rrr&)rDrCrFr/rGs r2r;r;sp D |v||VT2 <6<<)=tDDTT2D2G | T "D =r4c t|}t|}||}n|t|jdkDry|yt |}|yt |t rtj||}t|dj}|tjjkr|ddjSt|d|}t |tsJ|j!j#|j$|dk(Sy)NrFTrrz)_get_index_freqrr^ get_linesr&rlr r r]r_period_dtype_coder FR_DAYvalue is_normalizedrr' tz_localizetz)rDr.r/rGfreq_strbaseperiods r2 use_dynamic_xrs 5 !D2G | /BLLN 3a 7 | &H %)*+//(CT2EE 9##)) )!9** *a(+&&)))""$00:eAhFF r4ct|}| t|}|yt|}|ytj||}t |dS)a Resolve the period frequency to plot `index` with on `ax`, or None. The freq is resolved the same way :func:`use_dynamic_x` resolves it, since that is what decides whether the dynamic date axis is used at all: the index ``freq`` attribute may be unset even when the index is regular (the freq is then inferred), and an already-decorated axes carries the freq of whatever was plotted on it first. The result is normalized to a period offset, because an axes stores its freq as a period alias string. NTr)rrr&r r]r)rDr.r/rs r2get_period_offsetr:sW 5 !D |B | &H'++Hh?H X ..r4cTt|dd}|t|dd}t|}|S)Nr/r)r>r)r.r/s r2rrRs2 5&$ 'D |u2D9 Kr4c&d}t|jttfrkt |j}| t |}| t dt|}t|jtr|dk(rb|jd}tt|jjdjtj|_||fS|jdj|}||fSt|jtrq|dk(rJ|jd}t|jj tj|_||fS|jj#|d|_||fS) Nz*Could not get frequency alias for plottingr!Fr6r")r/start)r/r%)rlr.r r rrr:r&r<rrrr(r)r*r,asi8r-)rDrsrr/s r2maybe_convert_indexrZs[ H$**/@Atzz* <#D <IJ J$T* djj"2 33yyey,"$TZZ%;%;D%A%H%HI((  >''-77X7F > N 33yyey,"4::??"((C  >"ZZ..H'.J >r4ct|dk(r*dtt|jdd|dSt t||}d|d|dS)Nr!zt = z%Y-%m-%dz y = 8f)ordinalr/)r&rintstrftimer)r/ty time_periods r2 _format_coordrsa#%&s1v.77 CDF1R&QQQd3K +fQrF ++r4c|j}t|dr9t|jts|j t yyt |_y)a Register PeriodConverter on the x-axis of ``ax``. The x-axis holds plain int64 ordinals (Period ordinals for PeriodIndex plots; business-day ordinals for BDay), so matplotlib's units machinery never registers a converter of its own. Setting it explicitly is what lets ax.set_xlim("2020-01-01"), axvline(timestamp) and user-supplied datetime xticks map to those ordinals via _get_datevalue(). set_converterN)rwr[rl get_converterrr converter)rDrxs r2set_period_converterrsO LLNEuo&%--/A    1 2B*+r4cddlm}t|tst |dk(rt |dd||}t |dd||}|j j||j j|t|dd||}t|dd||}|j j||j j|tjt||_t!|nJt|t"r/|j jt%|j&n t)d|j+y)a Pretty-formats the date axis (x-axis). Major and minor ticks are automatically set for the frequency of the current underlying series. As the dynamic mode is activated by default, changing the limits of the x axis will intelligently change the positions of the ticks. ``anchor`` is an ordinal the tick grid has to land on; a bar plot passes the ordinal of its first bar, since its axis limits sit half a period below it. Line plots leave it unset. rNr!TF) dynamic_mode minor_locatorplot_objanchorzindex type not supported)matplotlib.pyplotpyplotrlr r&rrxset_major_locatorset_minor_locatorrset_major_formatterset_minor_formatter functoolspartialr format_coordrrrunit TypeErrordraw_if_interactive) subplotr/r.rplt majlocator minlocator majformatter minformatters r2format_dateaxisrs4$$ %(,=d,Cs,J,   ,     '' 3 '' 3/   0     )),7 )),7 )00EW% E, - ))*G *ST233r4ct||||\}}t||t|drt|j|t|drt|j|||fS)NrRrS)rHrjr[rRrS)rCrDrErFr/rss r2prepare_ts_datars^ FJ?JD$"dr9bjj$'r:bkk4( :r4)r.rr/zstr | BaseOffsetreturnr)N)rCrrDrrEdict[str, Any]rF str | None)rNrmrOrmrbool)rDrr/rrErrrU)rDrr/r)rDrr/rrrU)rDr)r/ztimedelta | BaseOffset | strrr)rDrrCrrFr)rDrr.rrr)rDrr.rrBaseOffset | None)r.rrr)rDrrsrrztuple[NDFrameT, str | None])rrm)rDrrrU)r/rr.rrz int | NonerrU) rCrrDrrErrFrrztuple[BaseOffset | str, Series])? __future__rrtypingrrnumpyr)pandas._libs.tslibsrrrpandas._libs.tslibs.dtypesr r pandas.core.dtypes.commonr pandas.core.dtypes.genericr r rpandasrrpandas.io.formats.printingr%pandas.plotting._matplotlib.converterrrrrrrrpandas.tseries.frequenciesrrrdatetimermatplotlib.axesrpandas._typingrrr3rHrAr=rBrZrjrr&r;rrrrrrrrr4r2rsN#   7  4 "$' '0PT# ##&4#BL#L  :.@ 020!H/0'Z,,. 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