Rc@ s_dZddlmZmZddlZddlZddlZddlZddl m Z ddl m Z ddl m Z defdYZd efd YZd efd YZd efdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefdYZdefd YZd!efd"YZd#efd$YZd%efd&YZd'efd(YZd)efd*YZ d+efd,YZ!d-Z"d.fd/YZ#d0efd1YZ$d2d3d4Z%d5efd6YZ&d7d8Z'd7d9Z(d:Z)d7d;Z*d<Z+d=efd>YZ,d?efd@YZ-dAe&fdBYZ.dCefdDYZ/dEefdFYZ0d d ddddddddd#d%d'd)d+d=dAd0d5dCfZ1dS(Gs! 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 :class:`NullLocator` No ticks :class:`FixedLocator` Tick locations are fixed :class:`IndexLocator` locator for index plots (e.g., where x = range(len(y))) :class:`LinearLocator` evenly spaced ticks from min to max :class:`LogLocator` logarithmically ticks from min to max :class:`MultipleLocator` ticks and range are a multiple of base; either integer or float :class:`OldAutoLocator` choose a MultipleLocator and dyamically reassign it for intelligent ticking during navigation :class:`MaxNLocator` finds up to a max number of ticks at nice locations :class:`AutoLocator` :class:`MaxNLocator` with simple defaults. This is the default tick locator for most plotting. :class:`AutoMinorLocator` locator for minor ticks when the axis is linear and the major ticks are uniformly spaced. It subdivides the major tick interval into a specified number of minor intervals, defaulting to 4 or 5 depending on the major interval. 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. :class:`NullFormatter` no labels on the ticks :class:`IndexFormatter` set the strings from a list of labels :class:`FixedFormatter` set the strings manually for the labels :class:`FuncFormatter` user defined function sets the labels :class:`FormatStrFormatter` use a sprintf format string :class:`ScalarFormatter` default formatter for scalars; autopick the fmt string :class:`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 :ref:`pylab_examples-major_minor_demo1` for an example of setting major an minor ticks. See the :mod:`matplotlib.dates` module for more information and examples of using date locators and formatters. i(tdivisiontprint_functionN(trcParams(tcbook(t transformst _DummyAxiscB sAeZddZdZdZdZdZdZRS(icC s1tjj|_tjj|_||_dS(N(t mtransformstBboxtunittdataLimtviewLimt_minpos(tselftminpos((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt__init__scC s |jjS(N(R t intervalx(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytget_view_intervalscC s||f|j_dS(N(R R(R tvmintvmax((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_view_intervalscC s|jS(N(R (R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt get_minposscC s |jjS(N(R R(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytget_data_intervalscC s||f|j_dS(N(R R(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_data_intervals(t__name__t __module__RRRRRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs      t TickHelpercB s;eZdZdZdZdZdZdZRS(cC s ||_dS(N(taxis(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_axisscK s%|jdkr!t||_ndS(N(RtNoneR(R tkwargs((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytcreate_dummy_axisscC s|jj||dS(N(RR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s|jj||dS(N(RR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s$|j|||j||dS(N(RR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt set_boundssN( RRRRRRRRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs     t FormattercB sMeZdZgZddZdZdZdZdZ dZ RS(s/ Convert the tick location to a string cC stddS(s[Return the format for tick val x at position pos; pos=None indicated unspecifiedsDerived must overrideN(tNotImplementedError(R txtpos((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt__call__scC s |j|S(N(R$(R tvalue((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt format_datascC s |j|S(sreturn a short string version(R&(R R%((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytformat_data_shortscC sdS(Nt((R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt get_offsetscC s ||_dS(N(tlocs(R R*((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_locsscC s|S(s some classes may want to replace a hyphen for minus with the proper unicode symbol as described `here `_. The default is to do nothing Note, if you use this method, e.g., in :meth:`format_data` or call, you probably don't want to use it for :meth:`format_data_short` since the toolbar uses this for interactive coord reporting and I doubt we can expect GUIs across platforms will handle the unicode correctly. So for now the classes that override :meth:`fix_minus` should have an explicit :meth:`format_data_short` method ((R ts((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt fix_minussN( RRt__doc__R*RR$R&R'R)R+R-(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR s     tIndexFormattercB s#eZdZdZddZRS(sL format the position x to the nearest i-th label where i=int(x+0.5) cC s||_t||_dS(N(tlabelstlentn(R R0((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs cC sBt|d}|dkr dS||jkr3dS|j|SdS(sXReturn the format for tick val x at position pos; pos=None indicated unspecifiedg?iR(N(tintR2R0(R R"R#ti((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s  N(RRR.RRR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR/s t NullFormattercB seZdZddZRS(sAlways return the empty stringcC sdS(s4Return the format for tick val *x* at position *pos*R(((R R"R#((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$sN(RRR.RR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR5stFixedFormattercB s5eZdZdZddZdZdZRS(s$Return fixed strings for tick labelscC s||_d|_dS(s *seq* is a sequence of strings. For positions ``i < len(seq)`` return *seq[i]* regardless of *x*. Otherwise return '' R(N(tseqt offset_string(R R7((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs cC s4|dks!|t|jkr%dS|j|SdS(s4Return the format for tick val *x* at position *pos*R(N(RR1R7(R R"R#((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s!cC s|jS(N(R8(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR) scC s ||_dS(N(R8(R tofs((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_offset_stringsN(RRR.RRR$R)R:(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR6s    t FuncFormattercB s#eZdZdZddZRS(s. User defined function for formatting cC s ||_dS(N(tfunc(R R<((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s|j||S(s4Return the format for tick val *x* at position *pos*(R<(R R"R#((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$sN(RRR.RRR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR;s tFormatStrFormattercB s#eZdZdZddZRS(s0 Use a format string to format the tick cC s ||_dS(N(tfmt(R R>((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR#scC s |j|S(s4Return the format for tick val *x* at position *pos*(R>(R R"R#((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$&sN(RRR.RRR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR=s tOldScalarFormattercB s#eZdZddZdZRS(s. Tick location is a plain old number. cC s5|jj\}}t||}|j||S(s4Return the format for tick val *x* at position *pos*(RRtabst pprint_val(R R"R#txmintxmaxtd((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$0sc C sEt|dkr,|t|kr,d|S|dkrAd}nZ|dkrVd}nE|dkrkd}n0|d krd }n|d krd }nd}||}|jd }t|dkr)|djdjd}|d djdd}|d d jd}d|||f}n|jdjd}|S(Ng@s%dg{Gz?s%1.3eg?s%1.3fgj@s%1.1ei s%1.1fis%1.2fteiit0t.t+R(s%se%s%s(R@R3tsplitR1trstriptreplacetlstrip( R R"RDR>R,ttuptmantissatsigntexponent((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRA7s,$           N(RRR.RR$RA(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR?+s tScalarFormattercB seZdZedddZdZdZededeZ dZ dZ ede de Z dZ dd Zd Zd Zd Zd ZdZdZdZdZdZdZdZRS(s Tick location is a plain old number. If useOffset==True and the data range is much smaller than the data average, then an offset will be determined such that the tick labels are meaningful. Scientific notation is used for data < 10^-n or data >= 10^m, where n and m are the power limits set using set_powerlimits((n,m)). The defaults for these are controlled by the axes.formatter.limits rc parameter. cC s|j|td|_|dkr3td}n||_d|_d|_t|_td|_ |dkr}td}n||_ dS(Ns text.usetexsaxes.formatter.use_mathtextiR(saxes.formatter.limitssaxes.formatter.use_locale( t set_useOffsetRt_usetexRt _useMathTexttorderOfMagnitudetformattTruet _scientifict _powerlimitst _useLocale(R t useOffsett useMathTextt useLocale((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRas           cC s|jS(N(t _useOffset(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt get_useOffsetsscC s=|ttgkr'd|_||_nt|_||_dS(Ni(RWtFalsetoffsetR^(R tval((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRRvs    tfgettfsetcC s|jS(N(RZ(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt get_useLocalescC s)|dkrtd|_n ||_dS(Nsaxes.formatter.use_locale(RRRZ(R Rb((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt set_useLocales cC s-tdstd r|S|jddSdS(s&use a unicode minus rather than hyphens text.usetexsaxes.unicode_minust-u−N(RRK(R R,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR-scC s9t|jdkrdS|j|}|j|SdS(s4Return the format for tick val *x* at position *pos*iR(N(R1R*RAR-(R R"R#R,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC st||_dS(seTrue or False to turn scientific notation on or off see also :meth:`set_powerlimits` N(tboolRX(R tb((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_scientificscC s+t|dkstd||_dS(s Sets size thresholds for scientific notation. e.g., ``formatter.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 :meth:`set_scientific`. is'argument must be a sequence of length 2N(R1tAssertionErrorRY(R tlims((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytset_powerlimitss cC s(|jrtjd|fSd|SdS(s:return a short formatted string representation of a numbers%-12gN(RZtlocalet format_string(R R%((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR's cC sG|jr!tjd|f}n d|}|j|}|j|S(s4return a formatted string representation of a numbers%1.10e(RZRnRot_formatSciNotationR-(R R%R,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR&s   cC sct|jdkrdSd}|js1|jrVd}d}|jrw|j|j}|jdkrwd|}qwn|jr|js|jr|jd|j}qd|j}n|jr|dkrd|}ndjd|d|d f}qV|jr>|dkr d |}ndjd||df}qVdj||f}n|j|S( s'Return scientific notation, plus offsetiR(RHi s1e%ds\times\mathdefault{%s}t$s \mathdefault{s}$s\times%s( R1R*RURaR&RSRTtjoinR-(R R,t offsetStrt sciNotStr((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR)s2         cC s||_t|jdkr||jj\}}t||}|jr\|j|n|j||j||ndS(sset the locations of the ticksiN( R*R1RRR@R^t _set_offsett_set_orderOfMagnitudet _set_format(R R*RRRD((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR+s   cC s|j}|dks.t| s.|dkr;d|_dStj|}|rtjtjtjtj |}tjtj|}tj ||dkr d|}|dkrtj tj ||||_qtjtj ||||_qd|_ndS(Niii ( R*RR1Ratnptmeantmathtfloortlog10tabsolutetceiltmaxtmin(R trangeR*tave_loctave_oomt range_oomtp10((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRus % *  &&cC s|jsd|_dStj|j}|jrLtjtj|}nX|d|dkrm|d}n |d}|dkrd}ntjtj|}||j dkr||_n(||j dkr||_n d|_dS(Niii( RXRURxR}R*RaRzR{R|RY(R RR*toomRb((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRvs"         c C swt|jdkr1t|j||g}n |j}tj||jd|j}tj|}t|jdkr|d }ntt j t j |}t dd|}dd|}xL|dkrtj |tj|d|j |kr|d 8}qPqW|d 7}d t|d |_|jrWd |j|_n|jrsd |j|_ndS(Nig$@iiigMbP?i tdecimalsis%1.tfs$%s$s$\mathdefault{%s}$(R1R*tlistRxtasarrayRaRUtptpR3RzR{R|RR@troundtstrRVRSRT( R RRt_locsR*t loc_ranget loc_range_oomtsigfigstthresh((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRws( ! .    cC sd||jd|j}tj|dkr6d}n|jrUtj|j|fS|j|SdS(Ng$@g:0yE>i(RaRURxR}RZRnRoRV(R R"txp((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRA2s   cC sH|jr,tjd}tjd}n d}d}|jd}y|djdj|}|ddj|d }|ddjd}|js|jr|d kr|d krd }n|rd ||f}n|r|rd ||fSd ||fSn d|||fjd}|SWnt k rC|SXdS(Nt decimal_pointt positive_signRGRHREiRFiR(t1s 10^{%s%s}s %s{\times}%ss%s%ss%se%s%s( RZRnt localeconvRIRJRKRLRTRSt IndexError(R R,RRRMt significandRORP((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRp;s,    N(RRR.RWRRR_RRtpropertyR[ReRfR]R-R$RjRmR'R&R)R+RuRvRwRARp(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRQVs*              t LogFormattercB sVeZdZdedZdZdZd dZdZ dZ dZ RS( s& Format values for log axis; g$@cC s|d|_||_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 labelOnlyBase(R tbaseR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR^s cC s ||_dS(snchange the *base* for labeling - warning: should always match the base used for :class:`LogLocator`N(R(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRgscC s ||_dS(s"switch on/off minor ticks labelingN(R(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt label_minorlsc C s|jj\}}t||}|j}|dkr>dStj|}tjt|tj|}t|} | r|j rd} nD|dkrd|} n+|dkrd|} n|j ||} |dkrd| } n|j | S( s4Return the format for tick val *x* at position *pos*gRFR(i's%1.0eiis-%s( RRR@RRxRORztlogtis_close_to_intRRAR-( R R"R#RRRDRiROtfxtisDecadeR,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$ps$  "        cC s7|j}t|_tj|j|}||_|S(N(RR`Rt strip_mathR$(R R%Ri((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR&s    cC sd|S(s:return a short formatted string representation of a numbers%-12g((R R%((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR'sc C sEt|dkr,|t|kr,d|S|dkrAd}nZ|dkrVd}nE|dkrkd}n0|d krd }n|d krd }nd}||}|jd }t|dkr)|djdjd}|d djdd}|d d jd}d|||f}n|jdjd}|S(Ng@s%dg{Gz?s%1.3eg?s%1.3fgj@s%1.1ei s%1.1fis%1.2fREiiRFRGRHR(s%se%s%s(R@R3RIR1RJRKRL( R R"RDR>R,RMRNRORP((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRAs,$           N( RRR.RWRRRRR$R&R'RA(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRYs     tLogFormatterExponentcB seZdZddZRS(sJ Format values for log axis; using ``exponent = log_base(value)`` c C s|jj\}}tj||dd\}}t||}|j}|dkr\dStj|}tj t|tj |}t |} | r|j rd} nD|dkrd|} n+|dkrd|} n|j ||} |d krd | } n|j | S( s4Return the format for tick val *x* at position *pos*texpanderg?iRFR(i's%1.0eiis-%s(RRRt nonsingularR@RRxRORzRRRRAR-( R R"R#RRRDRiRORRR,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s&  "        N(RRR.RR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRstLogFormatterMathtextcB seZdZddZRS(sJ Format values for log axis; using ``exponent = log_base(value)`` c C s|j}td}|dkr0|r)dSdSntjt|tj|}t|}|dkrpdnd}|ddkrd |}n d |}| r|jrdS|s|rd |||fSd |||fSn4|rd ||t|fSd||t|fSdS(s4Return the format for tick val *x* at position *pos*s text.usetexis$0$s$\mathdefault{0}$RgR(igs%ds%ss $%s%s^{%.2f}$s$\mathdefault{%s%s^{%.2f}}$s $%s%s^{%d}$s$\mathdefault{%s%s^{%d}}$N(RRRzRR@RRt nearest_long( R R"R#RitusetexRt is_decadet sign_stringR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s6   "   N(RRR.RR$(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRst EngFormattercB seZdZidd6dd6dd6dd6d d 6d d 6d d6dd6dd6dd6dd6dd6dd6dd6dd6dd 6d!d"6Zdd&d#Zd&d$Zd%ZRS('s Formats axis values using engineering prefixes to represent powers of 1000, plus a specified unit, e.g., 10 MHz instead of 1e7. tyitzitaiRitpiR2iuμitmiR(itkitMitGi tTi tPitEitZitYicC s||_||_dS(N(Rtplaces(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR s cC s)d|j||jf}|j|S(Ns%s%s(t format_engRR-(R R"R#R,((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$$sc C sKtjt|}d}|dkr7d}| }n|dkrrtjttj|jdd}ntjd}|jt|j j }|jt|j j }|j t|}||d|}|j d krd}n7|j dkrd}n|j dkr1d|j }n|||f}|j S( s_ Formats a number in engineering notation, appending a letter representing the power of 1000 of the original number. Some examples: >>> format_eng(0) # for self.places = 0 '0' >>> format_eng(1000000) # for self.places = 1 '1.0 M' >>> format_eng("-1e-6") # for self.places = 2 u'-1.00 \u03bc' @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 iiiii u%g %su%i %su %%.%if %%sN(tdecimaltDecimalRR3RzR{R|RRt ENG_PREFIXEStkeysRRtstrip( R tnumtdnumROtpow10tprefixtmantt format_strt formatted((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR(s(   /  N(RRR.RRRR$R(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs,  tLocatorcB s\eZdZdZdZdZdZdZdZdZ dZ d Z RS( s Determine the tick locations; Note, you should not use the same locator between different :class:`~matplotlib.axis.Axis` because the locator stores references to the Axis data and view limits icC stddS(s Return the values of the located ticks given **vmin** and **vmax**. .. note:: To get tick locations with the vmin and vmax values defined automatically for the associated :attr:`axis` simply call the Locator instance:: >>> print(type(loc)) >>> print(loc()) [1, 2, 3, 4] sDerived must overrideN(R!(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt tick_valueskscC stddS(s!Return the locations of the tickssDerived must overrideN(R!(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$|scC sMt||jkrIddt||d|df}t|n|S(sUraise a RuntimeError if Locator attempts to create more than MAXTICKS locss7Locator attempting to generate %d ticks from %s to %s: sexceeds Locator.MAXTICKSii(R1tMAXTICKSt RuntimeError(R R*tmsg((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytraise_if_exceedss "cC stj||S(s select a scale for the range from vmin to vmax Normally this method is overridden by subclasses to change locator behaviour. (RR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt view_limitsscC s|j|jjS(sautoscale the view limits(RRR(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt autoscalescC s|}t|}|jj\}}tj||dd\}}|dkrs|t|d|d}nt||}||d}||7}||7}|jj||dtdS( s*Pan numticks (can be positive or negative)Rg?iiig@tignoreN(R1RRRRR@RRW(R tnumstepsttickstnumticksRRtstepRD((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytpans     cC sv|jj\}}tj||dd\}}t||}d||}|jj||||dtdS(s>Zoom in/out on axis; if direction is >0 zoom in, else zoom outRg?g?RN(RRRRR@RRW(R t directionRRtintervalR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytzooms cC sdS(s1refresh internal information based on current limN((R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytrefreshs( RRR.RRR$RRRRRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR\s     t IndexLocatorcB s)eZdZdZdZdZRS(s Place a tick on every multiple of some base number of points plotted, eg on every 5th point. It is assumed that you are doing index plotting; ie the axis is 0, len(data). This is mainly useful for x ticks. cC s||_||_dS(s<place ticks on the i-th data points where (i-offset)%base==0N(RRa(R RRa((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs cC s%|jj\}}|j||S(s!Return the locations of the ticks(RRR(R tdmintdmax((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC s*|jtj||j|d|jS(Ni(RRxtarangeRaR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs(RRR.RR$R(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs  t FixedLocatorcB s,eZdZddZdZdZRS(sn Tick locations are fixed. If nbins is not None, the array of possible positions will be subsampled to keep the number of ticks <= nbins +1. The subsampling will be done so as to include the smallest absolute value; for example, if zero is included in the array of possibilities, then it is guaranteed to be one of the chosen ticks. cC sFtj||_||_|jdk rBt|jd|_ndS(Ni(RxRR*tnbinsRR(R R*R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs cC s|jddS(N(RR(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC s|jdkr|jSttdt|jt|jd}|jdd|}x`td|D]O}|j|d|}tj |j tj |j krk|}qkqkW|j |S(s" Return the locations of the ticks. .. note:: Because the values are fixed, vmin and vmax are not used in this method. gGz?iN( RRR*RR3R1tfloatRRxR}RR(R RRRRR4tticks1((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs /* N(RRR.RRR$R(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs   t NullLocatorcB s eZdZdZdZRS(s No ticks cC s|jddS(N(RR(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC sgS(s" Return the locations of the ticks. .. note:: Because the values are Null, vmin and vmax are not used in this method. ((R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs (RRR.R$R(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs t LinearLocatorcB sAeZdZdddZdZdZdZdZRS(s Determine the tick locations The first time this function is called it will try to set the number of ticks to make a nice tick partitioning. Thereafter the number of ticks will be fixed so that interactive navigation will be nice cC s.||_|dkr!i|_n ||_dS(sX Use presets to set locs based on lom. A dict mapping vmin, vmax->locs N(RRtpresets(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs   cC s%|jj\}}|j||S(s!Return the locations of the ticks(RRR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC stj||dd\}}||kr:||}}n||f|jkr`|j||fS|jdkr||jn|jdkrgStj|||j}|j|S(NRg?i( RRRRRt _set_numticksRxtlinspaceR(R RRtticklocs((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s  cC s d|_dS(Ni (R(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR5scC s||kr||}}n||kr?|d8}|d7}nttj||d\}}|dkrz|d8}nd| }tj|||}tj|||}tj||S(s+Try to choose the view limits intelligentlyig?i (tdivmodRzR|R{R~RR(R RRRPt remaindertscale((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR8s    "   N( RRR.RRR$RRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR s     cC s"t||dkrtStSdS(Ng|=(R@RWR`(R"R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytclosetoMstBasecB sDeZdZdZdZdZdZdZdZRS(sEthis solution has some hacks to deal with floating point inaccuraciescC s|dkst||_dS(Ni(RkR(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRVscC sXt||j\}}t|drMt||jd rM|d|jS||jS(s'return the largest multiple of base < xii(RRR(R R"RDR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytltZs&cC sHt||j\}}t||jdr=|d|jS||jS(s(return the largest multiple of base <= xi(RRR(R R"RDR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytleascC sLt||j\}}t||jdr=|d|jS|d|jS(s(return the smallest multiple of base > xii(RRR(R R"RDR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytgtiscC sXt||j\}}t|drIt||jd rI||jS|d|jS(s)return the smallest multiple of base >= xii(RRR(R R"RDR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytgeqs& cC s|jS(N(R(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytget_basexs( RRR.RRRRRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRTs     tMultipleLocatorcB s5eZdZddZdZdZdZRS(sW Set a tick on every integer that is multiple of base in the view interval g?cC st||_dS(N(RR(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s%|jj\}}|j||S(s!Return the locations of the ticks(RRR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC s||kr||}}n|jj|}|jj}||d||}||tj|d|}|j|S(NgMbP?i(RRRRxRR(R RRRR2R*((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs cC sW|jj|}|jj|}||krG|d8}|d7}ntj||S(sd Set the view limits to the nearest multiples of base that contain the data i(RRRRR(R RRRR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs    (RRR.RR$RR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR|s    iidc C st||}|dkr dSd||}t|||krMd}n]|dkrttj|dd}d|}n(ttj| dd}d| }ttj||dd}d|}||fS(Nig?gg?ii (g?g(R@RRzR|( RRR2t thresholdtdvtmeanvRatexR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt scale_ranges       t MaxNLocatorc B sqeZdZedddddedededdZdZd Z d Z d Z d Z d Z RS(s< Select no more than N intervals at nice locations. Ri tstepsttrimtintegert symmetrictprunecO sY|r8|d|d|d|_nd|krZ|d|_nd|krv|d|_nd|kr|d}|dk r|dkrtd n||_nd |krI|d }|dkr d d d dddddddg |_qIt|ddkr=t |}|j dn||_nd|kre|d|_n|jrg|jD]%}t |d d dkrx|^qx|_ndS(NRRRRRtuppertlowertboths/prune must be 'upper', 'lower', 'both', or NoneRig?ig@iiiiii igMbP?(supperslowerR( R3t_nbinst_trimt_integert _symmetricRRt_prunet_stepsRtappendR(R RRRR2((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs4           *    c C s)|j}t|||\}}|jr<td|}n||}||}|||}||}|}|} xb|jD]W} | |krq~n| |9} | t|| d} | | |}||kr~Pq~q~W|jr tt||| d} || 8}ntj |d| | |S(Nii( RRRRR RRR3RxR( R RRRRRatraw_steptscaled_raw_stept best_vmaxt best_vminRt extra_bins((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pytbin_boundariess,          cC s%|jj\}}|j||S(N(RRR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$scC stj||dddd\}}|j||}|j}|dkrX|d}n5|dkrq|d }n|d kr|dd!}n|j|S( NRgvIh%<=ttinyg+=RiRiR(RRRR R(R RRR*R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR#s      cC sz|jr4tt|t|}| }|}ntj||dddd\}}tj|j||ddgS(NRg-q=RgvIh%<=ii(R RR@RRRxttakeR(R RRtmaxabs((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR0s  N(RRR.tdictRRWR`RRRRR$RR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs   (    i cC s>|dkr| Stjtj|tj|}||S(s#floor x to the nearest lower decadeg(RxR{R(R"Rtlx((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt decade_down:s %cC s=|dkr|Stjtj|tj|}||S(s#ceil x to the nearest higher decadeg(RxR~R(R"RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt decade_upBs %cC s<|dkrdS|dkr*t|dSt|dSdS(Nilg?(tlong(R"((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRJs   cC sRtj|stS|dkr#tStjtj|tj|}t|S(Ng(RxtisfiniteR`RWRR@R(R"RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRSs  %cC s-tj|stSt|t|dkS(Ng|=(RxRR`R@R(R"((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR\st LogLocatorcB sSeZdZddgdddZdZdZdZd Zd ZRS( s3 Determine the tick locations for log axes g$@g?iicC s0|j||j|||_||_dS(s> place ticks on the location= base**i*subs[j] N(RtsubsRtnumdecs(R RRRR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRgs   cC s|d|_dS(sW set the base of the log scaling (major tick every base**i, i integer) gN(R(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRpscC s2|dkrd|_ntj|d|_dS(sK set the minor ticks the log scaling every base**i*subs[j] gN(Rt_subsRxR(R R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRvs  cC s%|jj\}}|j||S(s!Return the locations of the ticks(RRR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$sc C s|j}t|jdr||jjjdkr|tjtj|tj|}tj ||j |}||}|S|dkr|jdk r|jj }n|dkstj | rtdqntj|tj|}tj|tj|}||kr+||}}ntj|tj|}|jdkr|dkrwtjdg}q|dkrtj d|d}qtj d|}n |j}d }x%||d |jkr|d 7}qWtj tj||tj|d ||}t|d r|jjj|}t|d ksut|d kr|d dkrtjtj||}qnmt|d kst|d kr|d dkrg}x0||D]} |j|| qWn ||}|jtj|S( NtaxestpolargsAData has no positive values, and therefore can not be log-scaled.i g?ig@iit _transformi(RthasattrRR tnameRzR~RRxRRRRRRR{RtarrayRR"tinvertedt transformR1traveltoutertextendRR( R RRRitdecadesRtnumdecRtstridet decadeStart((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRsN '%      4!4 cC s`|j}||kr%||}}n|jjjdkrztjtj|tj|}|||j}||fS|jj}|dkst j | rt dn||kr|}nt ||jst ||j}nt ||jst||j}n||krJt ||j}t||j}ntj||}|S(s+Try to choose the view limits intelligentlyR!isAData has no positive values, and therefore can not be log-scaled.(RRR R$RzR~RRRRxRRRRRRR(R RRRiR tresult((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs,  %     ( RRR.RRRR$RR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRbs   9tSymmetricalLogLocatorcB s5eZdZddZdZdZdZRS(s3 Determine the tick locations for log axes cC s:||_|dkr$dg|_n ||_d|_dS(s> place ticks on the location= base**i*subs[j] g?iN(R"RRR(R R'R((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRs    cC s%|jj\}}|j||S(s!Return the locations of the ticks(RRR(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$sc s|jj|jj}||kr4||}}nt}}}|| krt}|| krt}||krt}qqn}|dkr|dkrt}||krt}qq||gSn:||kr||krt}t}q||gSnt}fd}|rJ|r2||| d}qP|| | d}nd}|r|rr|||d} q|||d} nd } |d|d| d| d} |r| d7} nttjt| |j dd} g} |r4| j dtj |d|d| dddn|rJ| j dn|r{| j tj | d| d| n|j dkrtj d} ntj|j } t| dks| ddkrg}x(| D]}|j | |qWn| }|jtj|S( Nic sTtjtj|tj}tjtj|tj}||fS(N(RxR{RR~(tlothi(Ri(sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt get_log_range's%%iigg@g?(ii(ii(R"Rt linthreshR`RWRRxR{RRR*RR RRRR1RR%(R RRttthas_athas_bthas_cR3ta_rangetc_ranget total_ticksR-R+RRtdecade((RisK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRsn               " ) +" cC s*|jj}||kr(||}}ntt||so|dkr]t| | }qot||}ntt||s|dkrt| | }qt||}n||kr|dkrt| | }t| | }qt||}t||}ntj||}|S(s+Try to choose the view limits intelligentlyi(R"RRR@RRRR(R RRRiR/((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR\s&      N(RRR.RRR$RR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR0s   gt AutoLocatorcB seZdZRS(c C s)tj|dddddddgdS(NRi Riiii (RR(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRys(RRR(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR=xstAutoMinorLocatorcB s,eZdZddZdZdZRS(s Dynamically find minor tick positions based on the positions of major ticks. Assumes the scale is linear and major ticks are evenly spaced. cC s ||_dS(s *n* is the number of subdivisions of the interval between major ticks; e.g., n=2 will place a single minor tick midway between major ticks. If *n* is omitted or None, it will be set to 5 or 4. N(tndivs(R R2((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRsc C s|jj}y|d|d}Wntk r>d}nX|jdkr|dkrcd}qttdtj|d}|dkrd}qd}n |j}||}|jj \}}||kr||}}nt |dkr|d}tj ||||} tj ||||} tj | | ||} tj| |||dk} | j| } ng} |jtj| S( s!Return the locations of the ticksiii iig$@N(iii (Rtget_majorticklocsRR?RR3RRxR|RR1R~R{RR@tcompressRR%( R t majorlocst majorstepR?R"t minorstepRRtt0ttminttmaxR*tcond((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s4    #       !cC stdt|dS(Ns(Cannot get tick locations for a %s type.(R!ttype(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRsN(RRR.RRR$R(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR>}s +tOldAutoLocatorcB sDeZdZdZdZdZdZdZdZRS(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 ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s|j|j|jS(s!Return the locations of the ticks(RRRK(R ((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyR$s cC stdt|dS(Ns(Cannot get tick locations for a %s type.(R!RI(R RR((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC sY|jj\}}tj||dd\}}t||}|j||_dS(s1refresh internal information based on current limRg?N(RRRRR@t get_locatorRK(R RRRD((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC s5t||}|j||_|jj||S(s+Try to choose the view limits intelligently(R@RLRKR(R RRRD((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRscC st|}|dkr'td}nytj|}Wntk rYtdnXtj|}d|}|d|kr|}n'|d|kr|d}n |d}t|}|S( s)pick the best locator based on a distanceig?s'AutoLocator illegal data interval rangei iig@g@(R@RRzR|t OverflowErrorRR{(R RDtlocatortldtfldRtticksize((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRLs         ( RRR.RR$RRRRL(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyRJs     (2R.t __future__RRRRnRztnumpyRxt matplotlibRRRRtobjectRRR R/R5R6R;R=R?RQRRRRRRRRRRRRRRRRRRRRR0R=R>RJt__all__(((sK/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/ticker.pyt{sd    -  +Y#0W\)B (%   }@=