ó m[c@`s!ddlmZmZmZmZddlZddlZddlmZddl m Z m Z m Z ddl mZmZmZmZmZmZmZmZmZmZddlmZmZdefd„ƒYZd efd „ƒYZd efd „ƒYZd efd„ƒYZdefd„ƒYZ defd„ƒYZ!defd„ƒYZ"defd„ƒYZ#defd„ƒYZ$defd„ƒYZ%defd„ƒYZ&defd„ƒYZ'defd „ƒYZ(d!efd"„ƒYZ)d#efd$„ƒYZ*d%efd&„ƒYZ+d'efd(„ƒYZ,d)efd*„ƒYZ-d+efd,„ƒYZ.ied-6e(d.6e+d/6e.d06Z/d1„Z0d2„Z1e j2e1j3ƒid3j4e0ƒƒd46e1_3d5„Z5d6„Z6e j7j8d7d3j4ge0ƒD]Z9e:e9ƒ^qòƒd8e6ƒj;ƒƒdS(9i(tabsolute_importtdivisiontprint_functiontunicode_literalsN(tma(tcbookt docstringtrcParams( t NullFormattertScalarFormattertLogFormatterSciNotationtLogitFormattert NullLocatort LogLocatort AutoLocatortAutoMinorLocatortSymmetricalLogLocatort LogitLocator(t TransformtIdentityTransformt ScaleBasecB`s)eZdZd„Zd„Zd„ZRS(u@ The base class for all scales. Scales are separable transformations, working on a single dimension. Any subclasses will want to override: - :attr:`name` - :meth:`get_transform` - :meth:`set_default_locators_and_formatters` And optionally: - :meth:`limit_range_for_scale` cC`s tƒ‚dS(uq Return the :class:`~matplotlib.transforms.Transform` object associated with this scale. N(tNotImplementedError(tself((s/lib/python2.7/site-packages/matplotlib/scale.pyt get_transform scC`s tƒ‚dS(u¦ Set the :class:`~matplotlib.ticker.Locator` and :class:`~matplotlib.ticker.Formatter` objects on the given axis to match this scale. N(R(Rtaxis((s/lib/python2.7/site-packages/matplotlib/scale.pyt#set_default_locators_and_formatters'scC`s ||fS(uù Returns the range *vmin*, *vmax*, possibly limited to the domain supported by this scale. *minpos* should be the minimum positive value in the data. This is used by log scales to determine a minimum value. ((Rtvmintvmaxtminpos((s/lib/python2.7/site-packages/matplotlib/scale.pytlimit_range_for_scale/s(t__name__t __module__t__doc__RRR(((s/lib/python2.7/site-packages/matplotlib/scale.pyRs  t LinearScalecB`s/eZdZdZd„Zd„Zd„ZRS(u# The default linear scale. ulinearcK`sdS(N((RRtkwargs((s/lib/python2.7/site-packages/matplotlib/scale.pyt__init__AscC`sa|jtƒƒ|jtƒƒ|jtƒƒtdrM|jtƒƒn|jt ƒƒdS(ud Set the locators and formatters to reasonable defaults for linear scaling. uxtick.minor.visibleN( tset_major_locatorRtset_major_formatterR tset_minor_formatterRRtset_minor_locatorRR (RR((s/lib/python2.7/site-packages/matplotlib/scale.pyRDs  cC`stƒS(uy The transform for linear scaling is just the :class:`~matplotlib.transforms.IdentityTransform`. (R(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRRs(RRR tnameR#RR(((s/lib/python2.7/site-packages/matplotlib/scale.pyR!:s   tLogTransformBasecB`s>eZdZdZeZeZdd„Zd„Zd„Z RS(iuclipcC`s,tj|ƒitd6td6||_dS(Nuclipumask(RR#tTruetFalset_clip(Rtnonpos((s/lib/python2.7/site-packages/matplotlib/scale.pyR#`s cC`sdtjddddƒFtj|ƒ}|tj|jƒ}|jrZd||dk{s  tLog10TransformcB`seZdZd„ZRS(g$@cC`stƒS(N(tInvertedLog10Transform(R((s/lib/python2.7/site-packages/matplotlib/scale.pytinverted‹s(RRR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyR@ˆsRAcB`seZdZd„ZRS(g$@cC`stƒS(N(R@(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB’s(RRR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRAst Log2TransformcB`seZdZd„ZRS(g@cC`stƒS(N(tInvertedLog2Transform(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB™s(RRR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRC–sRDcB`seZdZd„ZRS(g@cC`stƒS(N(RC(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB s(RRR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRDstNaturalLogTransformcB`seZejZd„ZRS(cC`stƒS(N(tInvertedNaturalLogTransform(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB§s(RRR0teR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRE¤s RFcB`seZejZd„ZRS(cC`stƒS(N(RE(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB®s(RRR0RGR3RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRF«s t LogTransformcB`seZdd„Zd„ZRS(uclipcC`stj||ƒ||_dS(N(R)R#R3(RR3R-((s/lib/python2.7/site-packages/matplotlib/scale.pyR#³scC`s t|jƒS(N(tInvertedLogTransformR3(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRB·s(RRR#RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRH²s RIcB`seZd„Zd„ZRS(cC`stj|ƒ||_dS(N(R>R#R3(RR3((s/lib/python2.7/site-packages/matplotlib/scale.pyR#¼s cC`s t|jƒS(N(RHR3(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRBÀs(RRR#RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRI»s tLogScalecB`sneZdZdZeZeZeZeZeZe Z e Z e Z e Z d„Z d„Zd„Zd„ZRS(uÔ A standard logarithmic scale. Care is taken so non-positive values are not plotted. For computational efficiency (to push as much as possible to Numpy C code in the common cases), this scale provides different transforms depending on the base of the logarithm: - base 10 (:class:`Log10Transform`) - base 2 (:class:`Log2Transform`) - base e (:class:`NaturalLogTransform`) - arbitrary base (:class:`LogTransform`) ulogcK`sy|jdkrH|jddƒ}|jddƒ}|jddƒ}n6|jddƒ}|jddƒ}|jd dƒ}t|ƒr¦td d j|ƒƒ‚n|dkrÁtd ƒ‚n|dksÙ|dkrètdƒ‚n|dkr |j|ƒ|_nZ|dkr*|j|ƒ|_n9|t j krN|j |ƒ|_n|j ||ƒ|_||_ ||_dS(u" *basex*/*basey*: The base of the logarithm *nonposx*/*nonposy*: ['mask' | 'clip' ] non-positive values in *x* or *y* can be masked as invalid, or clipped to a very small positive number *subsx*/*subsy*: Where to place the subticks between each major tick. Should be a sequence of integers. For example, in a log10 scale: ``[2, 3, 4, 5, 6, 7, 8, 9]`` will place 8 logarithmically spaced minor ticks between each major tick. uxubasexg$@usubsxunonposxuclipubaseyusubsyunonposyurprovided too many kwargs, can only pass {'basex', 'subsx', nonposx'} or {'basey', 'subsy', nonposy'}. You passed u{!r}umasku/nonposx, nonposy kwarg must be 'mask' or 'clip'iiu#The log base cannot be <= 0 or == 1g@N(umaskuclip(t axis_nametpoptNonetlent ValueErrorR7R@t _transformRCR0RGRERHR3tsubs(RRR"R3RQR-((s/lib/python2.7/site-packages/matplotlib/scale.pyR#ßs.     cC`sq|jt|jƒƒ|jt|jƒƒ|jt|j|jƒƒ|jt|jd|jdk ƒƒdS(ub Set the locators and formatters to specialized versions for log scaling. t labelOnlyBaseN( R$R R3R%R R'RQR&RM(RR((s/lib/python2.7/site-packages/matplotlib/scale.pyRs  cC`s|jS(u Return a :class:`~matplotlib.transforms.Transform` instance appropriate for the given logarithm base. (RP(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRscC`sFtj|ƒsd}n|dkr*|n||dkr?|n|fS(u6 Limit the domain to positive values. gYóøÂn¥i(R0tisfinite(RRRR((s/lib/python2.7/site-packages/matplotlib/scale.pyR#s (RRR R(R)R@RARCRDRERFRHRIR#RRR(((s/lib/python2.7/site-packages/matplotlib/scale.pyRJÄs  1 tSymmetricalLogTransformcB`s;eZdZdZeZeZd„Zd„Zd„Z RS(icC`sVtj|ƒ||_||_||_|d|jd|_tj|ƒ|_dS(Ngð?iÿÿÿÿ( RR#R3t linthreshtlinscalet _linscale_adjR0R2t _log_base(RR3RURV((s/lib/python2.7/site-packages/matplotlib/scale.pyR#5s     cC`stj|ƒ}tj||j |jdtƒ}||j|jtjtj|ƒ|jƒ|j }|j j ƒr•tj |j ||j|ƒS|SdS(Ntcopy( R0tsignRt masked_insideRUR+RWR2tabsRXtmasktanytwhere(RR4RZtmaskedR2((s/lib/python2.7/site-packages/matplotlib/scale.pyR6=s    (cC`st|j|j|jƒS(N(tInvertedSymmetricalLogTransformR3RURV(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRBKs( RRR:R;R*R<R=R#R6RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRT/s  RacB`s;eZdZdZeZeZd„Zd„Zd„Z RS(icC`shtj|ƒt|||ƒ}||_||_|j|ƒ|_||_|d|jd|_dS(Ngð?iÿÿÿÿ( RR#RTR3RUt transformt invlinthreshRVRW(RR3RURVtsymlog((s/lib/python2.7/site-packages/matplotlib/scale.pyR#Vs    cC`s—tj|ƒ}tj||j |jdtƒ}||jtj|j|||j|j ƒ}|j j ƒrtj |j ||j |ƒS|SdS(NRY( R0RZRR[RcR+RUR?R3RWR]R^R_(RR4RZR`texp((s/lib/python2.7/site-packages/matplotlib/scale.pyR6_s cC`st|j|j|jƒS(N(RTR3RURV(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRBks ( RRR:R;R*R<R=R#R6RB(((s/lib/python2.7/site-packages/matplotlib/scale.pyRaPs tSymmetricalLogScalecB`s;eZdZdZeZeZd„Zd„Zd„ZRS(uh The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin. Since the values close to zero tend toward infinity, there is a need to have a range around zero that is linear. The parameter *linthresh* allows the user to specify the size of this range (-*linthresh*, *linthresh*). usymlogcK`s3|jdkrZ|jddƒ}|jddƒ}|jddƒ}|jddƒ}nH|jd dƒ}|jd dƒ}|jd dƒ}|jd dƒ}|dkr½td ƒ‚n|dkrØtdƒ‚n|dkrótdƒ‚n|j|||ƒ|_||_||_||_||_ dS(u" *basex*/*basey*: The base of the logarithm *linthreshx*/*linthreshy*: A single float which defines the range (-*x*, *x*), within which the plot is linear. This avoids having the plot go to infinity around zero. *subsx*/*subsy*: Where to place the subticks between each major tick. Should be a sequence of integers. For example, in a log10 scale: ``[2, 3, 4, 5, 6, 7, 8, 9]`` will place 8 logarithmically spaced minor ticks between each major tick. *linscalex*/*linscaley*: This allows the linear range (-*linthresh* to *linthresh*) to be stretched relative to the logarithmic range. Its value is the number of decades to use for each half of the linear range. For example, when *linscale* == 1.0 (the default), the space used for the positive and negative halves of the linear range will be equal to one decade in the logarithmic range. uxubasexg$@u linthreshxg@usubsxu linscalexgð?ubaseyu linthreshyusubsyu linscaleyu#'basex/basey' must be larger than 1gu('linthreshx/linthreshy' must be positiveu''linscalex/linthreshy' must be positiveN( RKRLRMRORTRPR3RURVRQ(RRR"R3RURQRV((s/lib/python2.7/site-packages/matplotlib/scale.pyR#s,        cC`sb|jt|jƒƒƒ|jt|jƒƒ|jt|jƒ|jƒƒ|jt ƒƒdS(un Set the locators and formatters to specialized versions for symmetrical log scaling. N( R$RRR%R R3R'RQR&R(RR((s/lib/python2.7/site-packages/matplotlib/scale.pyRµs  cC`s|jS(uE Return a :class:`SymmetricalLogTransform` instance. (RP(R((s/lib/python2.7/site-packages/matplotlib/scale.pyRÀs( RRR R(RTRaR#RR(((s/lib/python2.7/site-packages/matplotlib/scale.pyRfps  6 tLogitTransformcB`sGeZdZdZeZeZdd„Zd„Zd„Z d„Z RS(iumaskcC`s5tj|ƒ||_itd6td6||_dS(Nuclipumask(RR#t_nonposR*R+R,(RR-((s/lib/python2.7/site-packages/matplotlib/scale.pyR#Ís  cC`sftjddddƒtj|d|ƒ}WdQX|jrbd||dkii(R0RS(RRRR((s/lib/python2.7/site-packages/matplotlib/scale.pyRs (RRR R(R#RRR(((s/lib/python2.7/site-packages/matplotlib/scale.pyRkøs   ulinearulogusymlogulogitcC`s ttƒS(N(tsortedt_scale_mapping(((s/lib/python2.7/site-packages/matplotlib/scale.pytget_scale_names,scK`sQ|jƒ}|dkr!d}n|tkr@td|ƒ‚nt|||S(uC Return a scale class by name. ACCEPTS: [ %(names)s ] ulinearuUnknown scale type '%s'N(tlowerRMRnRO(tscaleRR"((s/lib/python2.7/site-packages/matplotlib/scale.pyt scale_factory0s     u | unamescC`s|t|jR@RARCRDRERFRHRIRJRTRaRfRgRjRkRnRoRrRvR RwRtR|tinterpdtupdateR{treprtrstrip(((s/lib/python2.7/site-packages/matplotlib/scale.pytsN"  F) !   k! W,     +