@wOGc@ sdZddklZddkZddkZddkZddkZddkZddkZddk Z ddk Z ddk l Z lZddk lZddk lZdd;dYZd efd YZd efd YZd efdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefd YZd!efd"YZd#efd$YZ d%efd&YZ!d'Z"d(d<d)YZ#d*efd+YZ$d,d-d.Z%d/efd0YZ&d1d2Z'd1d3Z(d1d4Z)d5efd6YZ*d7e&fd8YZ+d9efd:YZ,d=Z-dS(>s Tick locating and formatting ============================ This module contains classes to support completely configurable tick locating and formatting. Although the locators know nothing about major or minor ticks, they are used by the Axis class to support major and minor tick locating and formatting. Generic tick locators and formatters are provided, as well as domain specific custom ones.. Tick locating ------------- The Locator class is the base class for all tick locators. The locators handle autoscaling of the view limits based on the data limits, and the choosing of tick locations. A useful semi-automatic tick locator is MultipleLocator. You initialize this with a base, eg 10, and it picks axis limits and ticks that are multiples of your base. The Locator subclasses defined here are * NullLocator - No ticks * FixedLocator - Tick locations are fixed * IndexLocator - locator for index plots (eg where x = range(len(y)) * LinearLocator - evenly spaced ticks from min to max * LogLocator - logarithmically ticks from min to max * MultipleLocator - ticks and range are a multiple of base; either integer or float * OldAutoLocator - choose a MultipleLocator and dyamically reassign it for intelligent ticking during navigation * MaxNLocator - finds up to a max number of ticks at nice locations * AutoLocator - MaxNLocator with simple defaults. This is the default tick locator for most plotting. There are a number of locators specialized for date locations - see the dates module You can define your own locator by deriving from Locator. You must override the __call__ method, which returns a sequence of locations, and you will probably want to override the autoscale method to set the view limits from the data limits. If you want to override the default locator, use one of the above or a custom locator and pass it to the x or y axis instance. The relevant methods are:: ax.xaxis.set_major_locator( xmajorLocator ) ax.xaxis.set_minor_locator( xminorLocator ) ax.yaxis.set_major_locator( ymajorLocator ) ax.yaxis.set_minor_locator( yminorLocator ) The default minor locator is the NullLocator, eg no minor ticks on by default. Tick formatting --------------- Tick formatting is controlled by classes derived from Formatter. The formatter operates on a single tick value and returns a string to the axis. * NullFormatter - no labels on the ticks * FixedFormatter - set the strings manually for the labels * FuncFormatter - user defined function sets the labels * FormatStrFormatter - use a sprintf format string * ScalarFormatter - default formatter for scalars; autopick the fmt string * LogFormatter - formatter for log axes You can derive your own formatter from the Formatter base class by simply overriding the __call__ method. The formatter class has access to the axis view and data limits. To control the major and minor tick label formats, use one of the following methods:: ax.xaxis.set_major_formatter( xmajorFormatter ) ax.xaxis.set_minor_formatter( xminorFormatter ) ax.yaxis.set_major_formatter( ymajorFormatter ) ax.yaxis.set_minor_formatter( yminorFormatter ) See examples/major_minor_demo1.py for an example of setting major an minor ticks. See the matplotlib.dates module for more information and examples of using date locators and formatters. DEVELOPERS NOTE If you are implementing your own class or modifying one of these, it is critical that you use viewlim and dataInterval READ ONLY MODE so multiple axes can share the same locator w/o side effects! i(tdivisionN(tverbosetrcParams(tcbook(t transformst TickHelpercB s8eZdZdZdZdZdZdZRS(cC sD|idjotdn|idjotdndS(Ns3You must set the data interval to use this functions3You must set the view interval to use this function(t dataIntervaltNonet RuntimeErrort viewInterval(tself((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytverify_intervalsscC s ||_dS(N(R (R tinterval((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytset_view_intervalscC s ||_dS(N(R(R R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytset_data_intervalscC sRtiti|ti||_titi|ti||_dS(s Set dataInterval and viewInterval from numeric vmin, vmax. This is for stand-alone use of Formatters and/or Locators that require these intervals; that is, for cases where the Intervals do not need to be updated automatically. N(tmtranstIntervaltValueRR (R tvmintvmax((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt set_boundss 'N( t__name__t __module__RR RR R RR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR|s    t FormattercB sDeZdZgZddZdZdZdZdZ RS(s/ Convert the tick location to a string cC stddS(sPReturn the format for tick val x at position pos; pos=None indicated unspecifiedsDerived must overideN(tNotImplementedError(R txtpos((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt__call__scC s |i|S(N(R(R tvalue((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt format_datascC s |i|S(sreturn a short string version(R(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytformat_data_shortscC sdS(Nt((R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt get_offsetscC s ||_dS(N(tlocs(R R!((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytset_locssN( RRt__doc__R!RRRRR R"(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs    t NullFormattercB seZdZddZRS(sAlways return the empty stringcC sdS(s0Return the format for tick val x at position posR((R RR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRsN(RRR#RR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR$stFixedFormattercB s5eZdZdZddZdZdZRS(s$Return fixed strings for tick labelscC s||_d|_dS(s seq is a sequence of strings. For positions i= 1e4. cC sT||_td|_||_d|_d|_d|_t|_td|_ dS(Ns text.usetexiRsaxes.formatter.limits( t _useOffsetRt_usetext _useMathTexttoffsettorderOfMagnitudetformattTruet _scientifict _powerlimits(R t useOffsett useMathText((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(s       cC s/t|idjodSn|i|SdS(s0Return the format for tick val x at position posiRN(R)R!R3(R RR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR scC st||_dS(s_True or False to turn scientific notation on or off see also set_powerlimits() N(tboolRK(R tb((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytset_scientific'scC s*t|djp td||_dS(s Sets size thresholds for scientific notation. e.g. xaxis.set_powerlimits((-3, 4)) sets the pre-2007 default in which scientific notation is used for numbers less than 1e-3 or greater than 1e4. See also set_scientific(). is'argument must be a sequence of length 2N(R)tAssertionErrorRL(R tlims((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytset_powerlimits-s cC sd|S(s:return a short formatted string representation of a numbers%1.3g((R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR9scC s|id|S(s4return a formatted string representation of a numbers%1.10e(t_formatSciNotation(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR=scC s:t|idjodSn|ip |iod}d}|io4|i|i}|idjod|}q|n|ioG|ip |iod|id|i}qdd|i}n|iodid||d fSq6|iodid ||d fSq6di||fSndSd S( s'Return scientific notation, plus offsetiRR8s{\times}i u×s1e%ds$\mathdefault{s}$t$N(R)R!RHRGRRERFtjoin(R t offsetStrt sciNotStr((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR As" "   cC sx||_t|idjoU|it|ii}|io|i|n|i||i ndS(sset the locations of the ticksiN( R!R)R R1R R2RDt _set_offsett_set_orderOfMagnitudet _set_format(R R!R4((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR"Ws   cC s0|i}|djpt| p |djod|_dSnti|}|otitititi |}titi|}ti ||djok|djo/ti ti |d|d||_q(titi |d|d||_q,d|_ndS(Niii ( R!RR)RGtnpytmeantmathtfloortlog10tabsolutetceiltmaxtmin(R trangeR!tave_loctave_oomt range_oom((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRZas ( * //cC s|ipd|_dSnti|i}|iotiti|}n]|d|djo|d}n |d}|djo d}ntiti|}||i djo ||_n+||i djo ||_n d|_dS(Niii( RKRHR]RbR!RGR_R`RaRL(R RfR!toomtval((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR[ts  &#   cC sti|i|id|id}g}|D]3}|ttd|iddidq3~}|i dt|dd |_ |i od |i |_ n|i od |i |_ ndS( Ni gV瞯i(RGRHR]RbRI(R Rtxp((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR3s cC s|id}y|didid}|ddidd}|ddid}|ip |iod|djo d}n|od ||f}n|o|od ||fSqd ||fSnd |||fidSWntj o }|SnXdS( NR5iR6R7iR8Rt1s 10^{%s%s}s %s{\times}%ss%s%ss%se%s%s(R:R;R<R=RFREt IndexError(R R>R?t significandRARBtmsg((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRUs   N(RRR#RJtFalseR(RRRQRTRRR R"RZR[R\R3RU(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRC s         t LogFormattercB s_eZdZdedZdZdZd dZdZ dZ dZ d Z RS( sn Format values for log axis; if attribute decadeOnly is True, only the decades will be labelled. g$@cC s#|d|_||_t|_dS(s base is used to locate the decade tick, which will be the only one to be labeled if labelOnlyBase is False gN(t_baset labelOnlyBaseRJt decadeOnly(R tbaseR{((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(s  cC s ||_dS(sXchange the base for labeling - warning: should always match the base used for LogLocatorN(Rz(R R}((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR}scC s ||_dS(s"switch on/off minor ticks labelingN(R{(R R{((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt label_minorscC s|it|ii}|i}ti|ti|}|i|}| o|io d}nI|djod|}n.|djod|}n|i ||}|S(s0Return the format for tick val x at position posRi's%1.0ei( R R1R R2RzR_tlogt is_decadeR{R3(R RRR4RPtfxtisDecadeR>((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  cC s.t|_ti|i|}t|_|S(N(RxR{Rt strip_mathRRJ(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  cC s#|i|}t||djS(Ng|=(t nearest_longR1(R Rtn((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRscC sF|djodSn.|djot|dSnt|dSdS(Nilg?(tlong(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRsc C sWt|djo|t|jo d|Sn|djo d}nc|djo d}nL|djo d}n5|d jo d }n|d jo d }nd}||}|id }t|djod|didid}|d didd}|d d id}d|||f}n|idid}|S(Ng@s%dg{Gz?s%1.3eg?s%1.3fgj@s%1.1ei s%1.1fis%1.2fR5iiR6R7R8Rs%se%s%s(R1R9R:R)R;R<R=( R RR4R/R>R?R@RARB((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR3s 2 N( RRR#RJR(R}R~RRRRRR3(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRys      tLogFormatterExponentcB seZdZddZRS(sF Format values for log axis; using exponent = log_base(value) cC s|it|ii}|i}ti|ti|}|i|}| o|io d}nI|djod|}n.|djod|}n|i ||}|S(s0Return the format for tick val x at position posRi's%1.0ei( R R1R R2RzR_RRR{R3(R RRR4RPRRR>((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  N(RRR#RR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRstLogFormatterMathtextcB seZdZddZRS(sF Format values for log axis; using exponent = log_base(value) cC s|i|i}ti|ti|}|i|}td}| o|io d}nt|p/|od||f}qd||f}n>|od||i|f}nd||i|f}|S(s0Return the format for tick val x at position poss text.usetexRs $%d^{%.2f}$s$\mathdefault{%d^{%.2f}}$s $%d^{%d}$s$\mathdefault{%d^{%d}}$(R RzR_RRRR{R(R RRRPRRtusetexR>((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs   N(RRR#RR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRstLocatorcB s;eZdZdZdZdZdZdZRS(s Determine the tick locations; Note, you should not use the same locator between different Axis because the locator stores references to the Axis data and view limits cC stddS(s!Return the locations of the tickssDerived must overrideN(R(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR@scC s |iti|iiS(sautoscale the view limits(R Rt nonsingularRt get_bounds(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt autoscaleDs cC sm|}t|}|djo |t|d|d}n||iid}|ii|dS(s*Pan numticks (can be positive or negative)iiiiN(R)R1R R2tshift(R tnumstepsttickstnumtickststep((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytpanIs     cC sQ|ii\}}|ii}d||}|ii||||dS(s>Zoom in/out on axis; if direction is >0 zoom in, else zoom outg?N(R RR2R(R t directionRRR R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytzoomUscC sdS(s1refresh internal information based on current limN((R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytrefresh\s(RRR#RRRRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR7s    t IndexLocatorcB s eZdZdZdZRS(s Place a tick on every multiple of some base number of points plotted, eg on every 5th point. It is assumed that you are doing index plotting; ie the axis is 0, len(data). This is mainly useful for x ticks. cC s||_||_dS(s<place ticks on the i-th data points where (i-offset)%base==0N(RzRG(R R}RG((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(hs cC s6|ii\}}ti||i|d|iS(s!Return the locations of the ticksi(RRR]tarangeRGRz(R tdmintdmax((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRms(RRR#R(R(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRas t FixedLocatorcB s#eZdZddZdZRS(s Tick locations are fixed. If nbins is not None, the array of possible positions will be subsampled to keep the number of ticks <= nbins +1. cC s?||_||_|idj ot|id|_ndS(Ni(R!tnbinsRRd(R R!R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(zs  cC s^|idjo |iSnttdt|it|id}|idd|S(s!Return the locations of the ticksgGz?iN(RRR!RdR9R)tfloat(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs /N(RRR#RR(R(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRss t NullLocatorcB seZdZdZRS(s No ticks cC sgS(s!Return the locations of the ticks((R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs(RRR#R(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRst LinearLocatorcB s8eZdZdddZdZdZdZRS(s Determine the tick locations The first time this function is called it will try to set the number of ticks to make a nice tick partitioning. Thereafter the number of ticks will be fixed so that interactive navigation will be nice cC s0||_|djo h|_n ||_dS(sX Use presets to set locs based on lom. A dict mapping vmin, vmax->locs N(RRtpresets(R RR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(s   cC s|i|ii\}}||jo||}}n|ii||fo|i||fSn|idjo|in|idjogSnti |||i}|S(s!Return the locations of the ticksiN( R R RRthas_keyRRt _set_numticksR]tlinspace(R RRtticklocs((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  cC s d|_dS(Ni (R(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRscC s|i|ii\}}||jo||}}n||jo|d8}|d7}ntti||d\}}|djo|d8}nd| }ti|||}ti|||}ti ||S(s+Try to choose the view limits intelligentlyig?i ( R RRtdivmodR_RaR`RcRR(R RRRBt remaindertscale((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs    "  N(RRR#RR(RRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs   cC s't||djotSntSdS(Ng|=(R1RJRx(Rty((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytclosetostBasecB sDeZdZdZdZdZdZdZdZRS(sEthis solution has some hacks to deal with floating point inaccuraciescC s!|djpt||_dS(Ni(RRRz(R R}((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(scC s^t||i\}}t|do+t||id o|d|iSn||iS(s'return the largest multiple of base < xii(RRzR(R RR4tm((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytlts(cC sMt||i\}}t||ido|d|iSn||iS(s(return the largest multiple of base <= xi(RRzR(R RR4R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytlescC sQt||i\}}t||ido|d|iSn|d|iS(s(return the smallest multiple of base > xii(RRzR(R RR4R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytgtscC s^t||i\}}t|do't||id o||iSn|d|iS(s)return the smallest multiple of base >= xii(RRzR(R RR4R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytges(cC s|iS(N(Rz(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytget_bases( RRR#R(RRRRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs     tMultipleLocatorcB s,eZdZddZdZdZRS(sV Set a tick on every integer that is multiple of base in the viewInterval g?cC st||_dS(N(RRz(R R}((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR( scC s|i|ii\}}||jo||}}n|ii|}|ii}||d||}|ti|d|}|S(s!Return the locations of the ticksgMbP?i(R R RRzRRR]R(R RRR}RR!((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR s  cC sx|i|ii\}}|ii|}|ii|}||jo|d8}|d7}nti||S(sd Set the view limits to the nearest multiples of base that contain the data i(R RRRzRRRR(R RRRR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs   (RRR#R(RR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  iidc C st||}tt|t|}|djp||djodSnd||}t|||jo d}n`|djo*tti|dd}d|}n)tti| dd}d| }tti||dd}d|} | |fS( Nig-q=g?gg?ii (g?g(R1RdRR_Ra( RRRt thresholdtdvtmaxabsvtmeanvRGtexR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt scale_range+s     t MaxNLocatorcB s>eZdZddeedZdZdZdZ RS(s< Select no more than N intervals at nice locations. i c C st||_||_||_|djo+ddddddddd d g |_n>t|d d jot|}|id n||_|oIg}|iD]+}t|ddd jo ||qq~|_ndS( Nig?ig@iiiiii igMbP?( R9t_nbinst_trimt_integerRt_stepstlisttappendR(R RtstepsttrimtintegerRpR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(Ds   +  c C s%|i}t|||\}}|iotd|}n||8}||8}|||}||}xf|iD][}||joqtn||9}|t||d} | ||} | |joPqtqtW|io+tt| ||d} || 8}nti |d|| |S(Nii( RRRRdRRRR9R]R( R RRRRRGtraw_steptscaled_raw_stepRt best_vmint best_vmaxt extra_bins((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pytbin_boundariesRs*           cC sM|i|ii\}}ti||dd\}}|i||S(Ntexpanderg?(R R RRRR(R RR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRjs cC s_|i|ii\}}ti||dd\}}ti|i||ddgS(NRg?ii(R RRRRR]ttakeR(R RR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRps N( RRR#RRJRxR(RRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR?s   i cC s-titi|ti|}||S(s#floor x to the nearest lower decade(R_R`R(RR}tlx((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt decade_downws%cC s-titi|ti|}||S(s#ceil x to the nearest higher decade(R_RcR(RR}R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyt decade_up}s%cC s,ti|ti|}|t|jS(N(R_RR9(RR}R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRst LogLocatorcB sMeZdZddgdZdZdZdZdZdZRS( s3 Determine the tick locations for log axes g$@g?cC s'|i||i|d|_dS(s> place ticks on the location= base**i*subs[j] iN(R}tsubsR(R R}R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(s  cC s|d|_dS(sX set the base of the log scaling (major tick every base**i, i interger) gN(Rz(R R}((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR}scC s4|djo d|_nti|d|_dS(sK set the minor ticks the log scaling every base**i*subs[j] gN(Rt_subsR]Rm(R R((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs  cC s d|_dS(Ni(R(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRsc C s|i|i}|ii\}}ti|ti|}ti|ti|}||jo||}}ng}ti|ti|}|idjo_|djot i dg}q|djot i d|d}qt i d|}n |i}d}x'||d|i jo|d7}q!WxH|t i ti|ti|||D]}|i||qxWt i |S(s!Return the locations of the ticksi g?ig@iN(R RzR RR_RR`RcRRR]tarrayRRtextend( R RPRRRtnumdecRtstridet decadeStart((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs,   #& cC s|i|ii\}}||jo||}}n|ii}|djotdn|djo |}nt||ipt||i}nt||ipt||i}n||jo(t||i}t||i}nt i ||S(s+Try to choose the view limits intelligentlyisNo positive data to plot( R RRtminposRRRzRRRR(R RRR((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs     )) ( RRR#R(R}RRRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs   t AutoLocatorcB seZdZRS(c C s)ti|dddddddgdS(NRi Riiii (RR((R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(s(RRR((((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRstOldAutoLocatorcB s;eZdZdZdZdZdZdZRS(so On autoscale this class picks the best MultipleLocator to set the view limits and the tick locs. cC st|_dS(N(Rt_locator(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyR(scC s|i|iS(s!Return the locations of the ticks(RR(R ((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs cC s%|ii}|i||_dS(s1refresh internal information based on current limN(R R2t get_locatorR(R R4((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRscC s>|it|ii}|i||_|iiS(s+Try to choose the view limits intelligently(R R1RR2RRR(R R4((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs cC st|}|djotd}nyti|}Wntj otdnXti|}d|}|d|jo |}n*|d|jo|d}n |d}t|}|i|i|i |i |S( s)pick the best locator based on a distanceig?s&AutoLocator illegal dataInterval rangei iig@g@( R1RR_Rat OverflowErrorRR`R R RR(R R4tlocatortldtfldR}tticksize((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs     (RRR#R(RRRR(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pyRs     (((RRR%R$R,R.RCRyRRRRRRRRRRR(.R#t __future__RtsystostrettimeR_twarningstnumpyR]t matplotlibtmplRRRRRRRR$R%R,R.R0RCRyRRRRRRRRRRRRRRRRRRt__all__(((s:/Users/cmoad/workspace/matplotlib/lib/matplotlib/ticker.pysmsRH    &M!* E '(8   T;