3j SrSSKrSSKrSSKJr SSKrSSKrSSKJ r J r SSK J r J r JrJrJrJrJrJrJrJrJr SSKJrJr "SS5rS r"S S \5r"S S \5r"SS\5r"SS\5r"SS\5r "SS\5r!"SS\!5r""SS\5r#"SS\5r$"SS\5r%"SS\5r&"S S!\5r'"S"S#\5r("S$S%\5r)"S&S'\5r*"S(S)\5r+\\!\%\(\+\\"S*.r,S+S+S+S+S+S+S+S*.r-S,r.S-r/\/R(a1\/RS.S/Ra\1"\2\."5550-\/lS0r3S1r4\ RjRmS2S/Ra\."5Vs/sH n\2"U5PM sn5-\4"5Ro5S39 gs snf)4a Scales define the distribution of data values on an axis, e.g. a log scaling. The mapping is implemented through `.Transform` subclasses. The following scales are built-in: .. _builtin_scales: ============= ===================== ================================ ================================= Name Class Transform Inverted transform ============= ===================== ================================ ================================= "asinh" `AsinhScale` `AsinhTransform` `InvertedAsinhTransform` "function" `FuncScale` `FuncTransform` `FuncTransform` "functionlog" `FuncScaleLog` `FuncTransform` + `LogTransform` `InvertedLogTransform` + `FuncTransform` "linear" `LinearScale` `.IdentityTransform` `.IdentityTransform` "log" `LogScale` `LogTransform` `InvertedLogTransform` "logit" `LogitScale` `LogitTransform` `LogisticTransform` "symlog" `SymmetricalLogScale` `SymmetricalLogTransform` `InvertedSymmetricalLogTransform` ============= ===================== ================================ ================================= A user will often only use the scale name, e.g. when setting the scale through `~.Axes.set_xscale`: ``ax.set_xscale("log")``. See also the :ref:`scales examples ` in the documentation. Custom scaling can be achieved through `FuncScale`, or by creating your own `ScaleBase` subclass and corresponding transforms (see :doc:`/gallery/scales/custom_scale`). Third parties can register their scales by name through `register_scale`. Nwraps)_api _docstring) NullFormatterScalarFormatterLogFormatterSciNotationLogitFormatter NullLocator LogLocator AutoLocatorAutoMinorLocatorSymmetricalLogLocator AsinhLocator LogitLocator) TransformIdentityTransformc6\rSrSrSrSrSrSrSrSr Sr g ) ScaleBase/a The base class for all scales. Scales are separable transformations, working on a single dimension. Subclasses should override :attr:`!name` The scale's name. :meth:`get_transform` A method returning a `.Transform`, which converts data coordinates to scaled coordinates. This transform should be invertible, so that e.g. mouse positions can be converted back to data coordinates. :meth:`set_default_locators_and_formatters` A method that sets default locators and formatters for an `~.axis.Axis` that uses this scale. :meth:`limit_range_for_scale` An optional method that "fixes" the axis range to acceptable values, e.g. restricting log-scaled axes to positive values. cg)a Construct a new scale. Notes ----- The following note is for scale implementers. For back-compatibility reasons, scales take an `~matplotlib.axis.Axis` object as the first argument. .. deprecated:: 3.11 The *axis* parameter is now optional, i.e. matplotlib is compatible with `.ScaleBase` subclasses that do not take an *axis* parameter. The *axis* parameter is pending-deprecated. It will be deprecated in matplotlib 3.13, and removed in matplotlib 3.15. 3rd-party scales are recommended to remove the *axis* parameter now if they can afford to restrict compatibility to matplotlib >= 3.11 already. Otherwise, they may keep the *axis* parameter and remove it in time for matplotlib 3.13. Nselfaxiss J/home/wildlama/miniconda3/lib/python3.13/site-packages/matplotlib/scale.py__init__ScaleBase.__init__Ec[5e)z< Return the `.Transform` object associated with this scale. NotImplementedErrorrs r get_transformScaleBase.get_transform^s "##r c[5e)zQ Set the locators and formatters of *axis* to instances suitable for this scale. r"rs r#set_default_locators_and_formatters-ScaleBase.set_default_locators_and_formattersds "##r cX4$)z Return the range *vmin*, *vmax*, restricted to the domain supported by this scale (if any). *minpos* should be the minimum positive value in the data. This is used by log scales to determine a minimum value. rrvminvmaxminposs rlimit_range_for_scaleScaleBase.limit_range_for_scaleks zr c[R"U5n[R"SS9 URX"SS9up4[R"U5X2:H-XB:H-nSSS5 URS:Xa [W5$W$![ [ 4a& [R"UR[S9nNZf=f!,(df  Nd=f)a< Return whether the value(s) are within the valid range for this scale. Accepts a scalar or array-like ``val``. For a scalar, returns a Python ``bool``. For an array, returns a bool ndarray of the same shape. This is a generic implementation, and subclasses may implement more efficient solutions for their domain. ignoreinvalidYn)r.)dtypeNr) npasarrayerrstater/isfinite TypeError ValueErrorzerosshapeboolndim)rvalarrr,r-results r val_in_rangeScaleBase.val_in_rangeusjjo [[ * J!777P S)T[9T[I + #xx1}tF|8&8 z* 9#))48 9+ *s-B=B B=3B:7B=9B::B== C rN) __name__ __module__ __qualname____firstlineno____doc__rr%r(r/rD__static_attributes__rr rrr/s * 2$ $9r rc0^[T5U4Sj5nU$)a Decorator to allow leaving out the *axis* parameter in scale constructors. This decorator ensures backward compatibility for scale classes that previously required an *axis* parameter. It allows constructors to be called with or without the *axis* parameter. For simplicity, this does not handle the case when *axis* is passed as a keyword. However, scanning GitHub, there's no evidence that that is used anywhere. Parameters ---------- init_func : callable The original __init__ method of a scale class. Returns ------- callable A wrapped version of *init_func* that handles the optional *axis*. Notes ----- If the wrapped constructor defines *axis* as its first argument, the parameter is preserved when present. Otherwise, the value `None` is injected as the first argument. Examples -------- >>> from matplotlib.scale import ScaleBase >>> class CustomScale(ScaleBase): ... @_make_axis_parameter_optional ... def __init__(self, axis, custom_param=1): ... self.custom_param = custom_param c>[R"T5nUR"U/UQ70UD6 T"U/UQ70UD6 g![a T"US/UQ70UD6 gf=fN)inspect signaturebindr;)rargskwargssig init_funcs rwrapper._make_axis_parameter_optional..wrappersg * - HHT +D +F + d ,T ,V ,  3 dD 24 26 2 3s<AAr)rUrVs` r_make_axis_parameter_optionalrXs$H 9 - - Nr c>\rSrSrSrSr\S5rSrSr Sr Sr g ) LinearScalez The default linear scale. linearcg)z Nrrs rrLinearScale.__init__rr cUR[55 UR[55 UR [ 55 UR S:Xa[RS(d(UR S:Xa2[RS(aUR[55 gUR[55 gNxzxtick.minor.visibleyzytick.minor.visible set_major_locatorr set_major_formatterrset_minor_formatterr axis_namemplrcParamsset_minor_locatorrr rs rr(/LinearScale.set_default_locators_and_formatters {}-   !23   1 NNc !cll3H&I#%#,,7L*M  " "#3#5 6  " ";= 1r c[5$)zh Return the transform for linear scaling, which is just the `~matplotlib.transforms.IdentityTransform`. )rr$s rr%LinearScale.get_transforms !""r c[R"U5n[R"U5nURS:Xa [ U5$U$z| Return whether the value(s) are within the valid range for this scale. This is True for all values, except +-inf and NaN. rr7r8r:r@r?rrArBrCs rrDLinearScale.val_in_range8 jjoS!"xx1}tF|8&8r rN) rFrGrHrIrJnamerXrr(r%rDrKrr rrZrZs/ D" #  2#9r rZc@^\rSrSrSrS=rrU4SjrSrSr Sr U=r $) FuncTransformz] A simple transform that takes and arbitrary function for the forward and inverse transform. c>[TU]5 [U5(a[U5(a XlX lg[ S5e)aS Parameters ---------- forward : callable The forward function for the transform. This function must have an inverse and, for best behavior, be monotonic. It must have the signature:: def forward(values: array-like) -> array-like inverse : callable The inverse of the forward function. Signature as ``forward``. z,arguments to FuncTransform must be functionsN)superrcallable_forward_inverser<)rforwardinverse __class__s rrFuncTransform.__init__s;  G  '!2!2#M#MKL Lr c$URU5$rN)r}rvaluess rtransform_non_affine"FuncTransform.transform_non_affines}}V$$r cB[URUR5$rN)rwr~r}r$s rinvertedFuncTransform.inverted sT]]DMM::r )r}r~ rFrGrHrIrJ input_dims output_dimsrrrrK __classcell__rs@rrwrws) ! JM*%;;r rwc8\rSrSrSrSr\S5rSrSr Sr g) FuncScalei zF Provide an arbitrary scale with user-supplied function for the axis. functionc.Uup4[X45nXPlg)a Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and will be removed in an imminent release. It can already be left out because of special preprocessing, so that ``FuncScale(functions)`` is valid. functions : (callable, callable) two-tuple of the forward and inverse functions for the scale. The forward function must be monotonic. Both functions must have the signature:: def forward(values: array-like) -> array-like N)rw _transform)rr functionsrr transforms rrFuncScale.__init__s*%!'3 #r cUR$)z7Return the `.FuncTransform` associated with this scale.rr$s rr%FuncScale.get_transform- r cUR[55 UR[55 UR [ 55 UR S:Xa[RS(d(UR S:Xa2[RS(aUR[55 gUR[55 gr`rcrs rr(-FuncScale.set_default_locators_and_formatters1rlr rN) rFrGrHrIrJrurXrr%r(rKrr rrr s* D"$#$0 2r rcF^\rSrSrS=rrSU4SjjrSrSrSr Sr U=r $) LogTransformi>ryc >[TU]5 US::dUS:Xa [S5eXl[R "SSS.US9Ul[R[RS[RS [R0Ul g) Nrryz#The log base cannot be <= 0 or == 1TFclipmask nonpositive ) r{rr<basergetitem_checked_clipr7eloglog2log10 _log_funcs)rrrrs rrLogTransform.__init__Asm  19 BC C ))5 ){D 44BGGRBr cSR[U5RURUR(aS5$S5$)Nz{}(base={}, nonpositive={!r})rr)formattyperFrrr$s r__str__LogTransform.__str__JsA.55 J  djjFN NFLN Nr cn[R"SSS9 URRUR5nU(a U"U5nO7[R "U5[R "UR5- nUR (aSX1S:*'SSS5 U$!,(df  W$=f)Nr2divider4r)r7r9rgetrrr)rrlog_funcouts rr!LogTransform.transform_non_affineNs [[( ;**4995Hv&ffVnrvvdii'88zz$)aK !<" #< ;" s BB%% B4c,[UR5$rN)InvertedLogTransformrr$s rrLogTransform.invertedcs#DII..r )rrr)r rFrGrHrIrrrrrrrKrrs@rrr>s(  JCN*//r rcB^\rSrSrS=rrU4SjrSrSrSr Sr U=r $)rigryc>[TU]5 Xl[R[R S[R 0Ulg)Nr)r{rrr7rexpexp2 _exp_funcs)rrrs rrInvertedLogTransform.__init__js/  44BGG4r cL[U5RSURS3$)Nz(base=))rrFrr$s rrInvertedLogTransform.__str__os$t*%%&fTYYKq99r cURRUR5nU(aU"U5$[R"U[R "UR5-5$rN)rrrr7rr)rrexp_funcs rr)InvertedLogTransform.transform_non_affinersI??&&tyy1 F# #66&266$))#445 5r c,[UR5$rN)rrr$s rrInvertedLogTransform.invertedysDII&&r )rrrrs@rrrgs&  J5 :6''r rcf\rSrSrSrSr\SSSSS.Sjj5r\"S 5r S r S r S r S r Srg)LogScalei}zL A standard logarithmic scale. Care is taken to only plot positive values. rNrr)rsubsrc0[X$5UlX0lg)a Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and about to be removed in the future. It can already now be left out because of special preprocessing, so that ``LogScale(base=2)`` is valid. base : float, default: 10 The base of the logarithm. nonpositive : {'clip', 'mask'}, default: 'clip' Determines the behavior for non-positive values. They can either be masked as invalid, or clipped to a very small positive number. subs : sequence of int, default: None Where to place the subticks between each major tick. 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. N)rrr)rrrrrs rrLogScale.__init__s.'t9 r c.URR$rNrrr$s rLogScale.!5!5r cPUR[UR55 UR[ UR55 UR [URUR 55 UR[ URUR SLS95 g)N) labelOnlyBase)rdr rrer rjrrfrs rr(,LogScale.set_default_locators_and_formatterssx z$))45   !8!CD z$))TYY?@   #DII3799D3H K Lr cUR$)z6Return the `.LogTransform` associated with this scale.rr$s rr%LogScale.get_transformrr cf[R"U5(dSnUS::aUOUUS::aU4$U4$)z$Limit the domain to positive values.r5rr7r:r+s rr/LogScale.limit_range_for_scalesA{{6""F!)!)/ /)-/ /r c[R"U5n[R"SS9 [R"U5US:-nSSS5 URS:Xa [ W5$W$!,(df  N+=f)z| Return whether the value(s) are within the valid range for this scale. This is True for value(s) > 0 except +inf and NaN. r2r3rN)r7r8r9r:r@r?rrs rrDLogScale.val_in_ranges[ jjo [[ *[[%q1F+"xx1}tF|8&8+ *s A-- A;rrrN)rFrGrHrIrJrurXrpropertyrr(r%r/rDrKrr rrr}sM D""4V#2 5 6DL/ 9r rcF\rSrSrSrSr\S Sj5r\S5r Sr Sr g) FuncScaleLogizi Provide an arbitrary scale with user-supplied function for the axis and then put on a logarithmic axes. functionlogcRUupESUl[XE5[U5-Ulg)am Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and about to be removed in the future. It can already now be left out because of special preprocessing, so that ``FuncScaleLog(functions=(forward, inverse))`` is valid. functions : (callable, callable) two-tuple of the forward and inverse functions for the scale. The forward function must be monotonic. Both functions must have the signature:: def forward(values: array-like) -> array-like base : float, default: 10 Logarithmic base of the scale. N)rrwrr)rrrrrrs rrFuncScaleLog.__init__s).% '9L[TU]5 US::a [S5eUS::a [S5eUS::a [S5eXlX lX0lgN?z'base' must be larger than 1z'linthresh' must be positivez'linscale' must be positiver{rr<r linthreshlinscalerrrrrs rr SymmetricalLogTransform.__init__W  3;;< <  ;< < s?:; ; " r cDURSSUR- - - n[R"UR5n[R"U5nX@R :*n[R "U5(aX-$[R"SSS9 [R"U5UR -U[R"UR 5U- - [R"U5U- --nSSS5 XU-WU'U$!,(df  N=fNrr2r) rrr7rabsrallr9sign)rr linscale_adjlog_baseabs_ainsiders rr,SymmetricalLogTransform.transform_non_affines}}cDIIo(=> 66$))$v..( 66&>>( ( [[( ;''&/DNN2rvvdnn5@@u ()*C<n|3F  < ;s A%D DcX[URURUR5$rN)InvertedSymmetricalLogTransformrrrr$s rr SymmetricalLogTransform.inverted s".tyy$../3}}> >r rrr) rFrGrHrIrrrrrrKrrs@rrrs!  J ! >>r rcx^\rSrSrS=rrU4Sjr\R"SSSSS9\ S 55r S r S r S r U=r$) riryc>[TU]5 US::a [S5eUS::a [S5eUS::a [S5eXlX lX0lgrrrs rr(InvertedSymmetricalLogTransform.__init__rr 3.11 invlinthresh attributez .inverted().transform(linthresh))ruobj_type alternativecXUR5RUR5nU$rN)rrr)rrs rr,InvertedSymmetricalLogTransform.invlinthreshs$}}00@ r cNURSSUR- - - nUR5RUR5n[ R "U5nXC:*n[ R"U5(aX- $[ R"SSS9 [ R"U5UR-[ R"X@R- U- [ R"UR5-5-nSSS5 XU- WU'U$!,(df  N=fr) rrrrrr7rrr9rrr)rrrrrrrs rr4InvertedSymmetricalLogTransform.transform_non_affine%s}}cDIIo(=> }}00@ v& 66&>>( ( [[( ;''&/DNN2RVV',6"&&:KK6MMC<n|3F  < ;s A+D D$cX[URURUR5$rN)rrrrr$s rr(InvertedSymmetricalLogTransform.inverted3s$&tyy'+~~t}}F Fr r )rFrGrHrIrrrr deprecatedrrrrrKrrs@rrrsS  J ! __V.;!CE E FFr rc\rSrSrSrSr\SSSSSS.S jj5r\"S 5r \"S 5r \"S 5r S r Sr SrSrg)SymmetricalLogScalei8a 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*). See :doc:`/gallery/scales/symlog_demo` for a detailed description. Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and about to be removed in the future. It can already now be left out because of special preprocessing, so that ``SymmetricalLocSacle(base=2)`` is valid. base : float, default: 10 The base of the logarithm. linthresh : float, default: 2 Defines the range ``(-x, x)``, within which the plot is linear. This avoids having the plot go to infinity around zero. subs : sequence of int Where to place the subticks between each major tick. 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. linscale : float, optional This allows the linear range ``(-linthresh, 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. symlogNrrry)rrrrc2[X#U5UlX@lgrN)rrr)rrrrrrs rrSymmetricalLogScale.__init__ds1$8L r c.URR$rNrr$s rrSymmetricalLogScale.irr c.URR$rN)rrr$s rrrjsdoo&?&?r c.URR$rN)rrr$s rrrksT__%=%=r c4UR[UR555 UR[ UR 55 UR [UR5UR55 UR[55 grN) rdrr%rer rrjrrfrrs rr(7SymmetricalLogScale.set_default_locators_and_formattersmsq 4T5G5G5IJK   !8!CD 4T5G5G5I59YY @ A   1r cUR$)zAReturn the `.SymmetricalLogTransform` associated with this scale.rr$s rr%!SymmetricalLogScale.get_transformurr c[R"U5n[R"U5nURS:Xa [ U5$U$rprqrrs rrD SymmetricalLogScale.val_in_rangeyrtr rrN)rFrGrHrIrJrurXrrrrrr(r%rDrKrr rrr8s`(R D""q# 5 6D?@I=>H29r rc@^\rSrSrSrS=rrU4SjrSrSr Sr U=r $)AsinhTransformiz[TU]5 US::a [S5eXlg)Nrz8Scale parameter 'linear_width' must be strictly positive)r{rr< linear_widthrr+rs rrAsinhTransform.__init__s.  3 9: :(r c`UR[R"XR- 5-$rN)r+r7arcsinhrs rr#AsinhTransform.transform_non_affines%  2::f7H7H.H#IIIr c,[UR5$rN)InvertedAsinhTransformr+r$s rrAsinhTransform.inverteds%d&7&788r r+rrs@rr)r)s%F  J)J99r r)c@^\rSrSrSrS=rrU4SjrSrSr Sr U=r $)r2iz4Hyperbolic sine transformation used by `.AsinhScale`ryc.>[TU]5 XlgrN)r{rr+r,s rrInvertedAsinhTransform.__init__s (r c`UR[R"XR- 5-$rN)r+r7sinhrs rr+InvertedAsinhTransform.transform_non_affines%  27764E4E+E#FFFr c,[UR5$rN)r)r+r$s rrInvertedAsinhTransform.invertedd//00r r4rrs@rr2r2s%>  J)G11r r2c ^\rSrSrSrSrSSSSSSSS S .r\SS S S S.U4Sjjj5r\ "S5r Sr Sr Sr SrU=r$) AsinhScaleia A quasi-logarithmic scale based on the inverse hyperbolic sine (asinh) For values close to zero, this is essentially a linear scale, but for large magnitude values (either positive or negative) it is asymptotically logarithmic. The transition between these linear and logarithmic regimes is smooth, and has no discontinuities in the function gradient in contrast to the `.SymmetricalLogScale` ("symlog") scale. Specifically, the transformation of an axis coordinate :math:`a` is :math:`a \rightarrow a_0 \sinh^{-1} (a / a_0)` where :math:`a_0` is the effective width of the linear region of the transformation. In that region, the transformation is :math:`a \rightarrow a + \mathcal{O}(a^3)`. For large values of :math:`a` the transformation behaves as :math:`a \rightarrow a_0 \, \mathrm{sgn}(a) \ln |a| + \mathcal{O}(1)`. .. note:: This API is provisional and may be revised in the future based on early user feedback. asinh)r)r)r)rrA)rA)i)rArBrCrrD@irrauto)r+rrc >[TU]U5 [U5Ul[ U5UlUS:Xa+UR RUR 5UlgX@lg)a Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and about to be removed in the future. It can already now be left out because of special preprocessing, so that ``AsinhScale()`` is valid. linear_width : float, default: 1 The scale parameter (elsewhere referred to as :math:`a_0`) defining the extent of the quasi-linear region, and the coordinate values beyond which the transformation becomes asymptotically logarithmic. base : int, default: 10 The number base used for rounding tick locations on a logarithmic scale. If this is less than one, then rounding is to the nearest integer multiple of powers of ten. subs : sequence of int Multiples of the number base used for minor ticks. If set to 'auto', this will use built-in defaults, e.g. (2, 5) for base=10. rHN) r{rr)rint_baseauto_tick_multipliersr_subs)rrr+rrrSrs rrAsinhScale.__init__sQ: (6Y 6>3377 CDJJr c.URR$rN)rr+r$s rrAsinhScale.s)E)Er cUR$rNrr$s rr%AsinhScale.get_transforms r c HUR[URURS9[URURURS9[ 5S9 URS:a%UR [UR55 gUR S5 g)N)r)rr) major_locator minor_locatorminor_formatterryz{x:.3g})setrr+rKrMrrer rs rr(.AsinhScale.set_default_locators_and_formatterss |D,=,=15 =+D,=,=1515 ="/  2 ::>  $ $%[TU]5 [R"SS/US9 XlSSS.UUlg)NrrrTFr)r{rr check_in_list _nonpositiverrrrs rrLogitTransform.__init__s:  FF+E'"E2;? r c[R"SSS9 [R"USU- - 5nSSS5 UR(aSWUS:*'SUSU:*'W$!,(df  N1=f)z,logit transform (base 10), masked or clippedr2rryNrri)r7r9rr)rrrs rr#LogitTransform.transform_non_affines] [[( ;((6QZ01C< ::$C! #CV  < ;s A A,c,[UR5$rN)LogisticTransformr_r$s rrLogitTransform.inverteds !2!233r cN[U5RSUR<S3$N(rrrFr_r$s rrLogitTransform.__str__!'t*%%&a(9(9'>r )rr_r rFrGrHrIrrrrrrrKrrs@rr\r\ s'  J@ 4??r r\cF^\rSrSrS=rrSU4SjjrSrSrSr Sr U=r $) rei%ryc.>[TU]5 XlgrN)r{rr_r`s rrLogisticTransform.__init__(s 'r cSSSU*--- $)zlogistic transform (base 10)rryrrrs rr&LogisticTransform.transform_non_affine,sa"w-'((r c,[UR5$rN)r\r_r$s rrLogisticTransform.inverted0r=r cN[U5RSUR<S3$rhrjr$s rrLogisticTransform.__str__3rlr )r_rmrnrs@rrere%s&  J()1??r recR\rSrSrSrSr\SSSS.Sjj5rS rS r S r S r S r g) LogitScalei7z Logit scale for data between zero and one, both excluded. This scale is similar to a log scale close to zero and to one, and almost linear around 0.5. It maps the interval ]0, 1[ onto ]-infty, +infty[. logitNz \frac{1}{2}Fone_half use_overlinec<[U5UlX@lX0lg)a Parameters ---------- axis : `~matplotlib.axis.Axis` The axis for the scale. .. note:: This parameter is unused and about to be removed in the future. It can already now be left out because of special preprocessing, so that ``LogitScale()`` is valid. nonpositive : {'mask', 'clip'} Determines the behavior for values beyond the open interval ]0, 1[. They can either be masked as invalid, or clipped to a number very close to 0 or 1. use_overline : bool, default: False Indicate the usage of survival notation (\overline{x}) in place of standard notation (1-x) for probability close to one. one_half : str, default: r"\frac{1}{2}" The string used for ticks formatter to represent 1/2. N)r\r _use_overline _one_half)rrrr|r}s rrLogitScale.__init__@s0)5)!r cUR$)z8Return the `.LogitTransform` associated with this scale.rr$s rr%LogitScale.get_transform\rr cUR[55 UR[URUR S95 UR [SS95 UR[SURUR S95 g)Nr{T)minor)rr|r})rdrrer rrrjrfrs rr(.LogitScale.set_default_locators_and_formatters`sx |~.   !//  |$78   !//  r cl[R"U5(dSnUS::aUOUUS:aSU- 4$U4$)z8 Limit the domain to values between 0 and 1 (excluded). gHz>rryrr+s rr/ LogitScale.limit_range_for_scalessG{{6""F!)"aiF 3 3-13 3r c[R"U5n[R"SS9 SU:US:-nSSS5 URS:Xa [ W5$W$!,(df  N+=f)z Return whether the value(s) are within the valid range for this scale. This is True for value(s) which are between 0 and 1 (excluded). r2r3rryN)r7r8r9r@r?rrs rrDLogitScale.val_in_range|sV jjo [[ *#g#'*F+"xx1}tF|8&8+ *s A A*)rrr)Nr) rFrGrHrIrJrurXrr%r(r/rDrKrr rryry7s> D""(u"#"6 &3 9r ry)r\rrr@rzrrTc [[5$)z)Return the names of the available scales.)sorted_scale_mappingrr rget_scale_namesrs . !!r c r[R"[US9n[U(a U"U40UD6$U"S0UD6$)zi Return a scale class by name. Parameters ---------- scale : {%(names)s} axis : `~matplotlib.axis.Axis` )scaler)rrr_scale_has_axis_parameter)rrrS scale_clss r scale_factoryrs<$$^5AI '((("6""r namesz, cU[UR'S[R"U5R;nU[ UR'U(a&[ R"SSUR<S3SS9 gg)zw Register a new kind of scale. Parameters ---------- scale_class : subclass of `ScaleBase` The scale to register. rr z The scale z uses an 'axis' parameter in the constructors. This parameter is pending-deprecated since matplotlib 3.11. It will be fully deprecated in 3.13 and removed in 3.15. Starting with 3.11, 'register_scale()' accepts scales without the *axis* parameter.T)messagependingN) rrurOrP parametersrrwarn_deprecatedrH) scale_classhas_axis_parameters rregister_scalersy(3N;##$ 7#4#4[#A#L#LL2Dk../   !9!9 <=44  r c /n[R5H\up[R"UR5=(d SnUR SU<3S[ R"US5S/5 M^ SRU5$)z> Helper function for generating docstrings related to scales. z z  ) ritemsrOgetdocrextendtextwrapindentjoin)docsrur docstrings r_get_scale_docsrsv D+113NN;#7#78>B  4(O  OOIw /    4 99T?r z{%s}) scale_type scale_docs)8rJrOr functoolsrnumpyr7 matplotlibrhrrmatplotlib.tickerrrr r r r r rrrrmatplotlib.transformsrrrrXrZrwrrrrrrrrr)r2r?r\reryrrrrrmapreprrrinterpdregisterrstrip)ras0rrs>'7777?W9W9t0f*9)*9Z!;I!;H.2 .2b&/9&/R'9',@9y@9F)8)X >i >F&Fi&FRI9)I9X9Y9$ 1Y 1d9d9N?Y?2? ?$N9N9d!   " #")113t_%6785::M 4    O4E"F4Eq474E"FGG '')"Fs F>