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� ��L]c @ s� d d l m Z d d l Z d d l m Z d d l m Z d d l m Z m Z m Z d d l m Z m Z m Z m Z d d l m Z m Z d d l m Z d e f d � � YZ d e f d � � YZ d � Z d � Z d e f d � � YZ d e f d � � YZ i e d 6e d 6e d 6Z d � Z d � Z e e j � i d j e � � d 6e _ d � Z d � Z! e j" j# d d j g e � D] Z$ e% e$ � ^ q�� d e! � j& � � d S( i����( t print_functionN( t ma( t dedent( t NullFormattert ScalarFormattert LogFormatterMathtext( t NullLocatort LogLocatort AutoLocatort SymmetricalLogLocator( t Transformt IdentityTransform( t docstringt ScaleBasec B s) e Z d Z d � Z d � Z d � Z RS( s@ 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` And optionally: - :meth:`set_default_locators_and_formatters` - :meth:`limit_range_for_scale` c C s t � � d S( sq Return the :class:`~matplotlib.transforms.Transform` object associated with this scale. N( t NotImplementedError( t self( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt get_transform s c C s t � � d S( s� Set the :class:`~matplotlib.ticker.Locator` and :class:`~matplotlib.ticker.Formatter` objects on the given axis to match this scale. N( R ( R t axis( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt# set_default_locators_and_formatters% s c C s | | f S( s� 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. ( ( R t vmint vmaxt minpos( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt limit_range_for_scale- s ( t __name__t __module__t __doc__R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR s t LinearScalec B s/ e Z d Z d Z d � Z d � Z d � Z RS( s# The default linear scale. t linearc K s d S( N( ( R R t kwargs( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt __init__? s c C sD | j t � � | j t � � | j t � � | j t � � d S( sd Set the locators and formatters to reasonable defaults for linear scaling. N( t set_major_locatorR t set_major_formatterR t set_minor_locatorR t set_minor_formatterR ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR B s c C s t � S( sy The transform for linear scaling is just the :class:`~matplotlib.transforms.IdentityTransform`. ( R ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR L s ( R R R t nameR R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR 8 s c C s/ | d k } | j � r+ t j | d | �S| S( s� Return a Numpy masked array where all non-positive values are masked. If there are no non-positive values, the original array is returned. g t mask( t anyR t MaskedArray( t aR# ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt _mask_non_positivesT s c C s d | | d k <| S( NgY�� n�g ( ( R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt _clip_non_positives` s t LogScalec B s� e Z d Z d Z d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d e f d � � YZ d � Z d � Z d � Z d � Z RS( s� 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`) t logt LogTransformBasec B s) e Z d Z d Z e Z e Z d � Z RS( i c C s2 t j | � | d k r% t | _ n t | _ d S( NR# ( R R R' t _handle_nonposR( ( R t nonpos( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR | s ( R R t input_dimst output_dimst Truet is_separablet has_inverseR ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR+ v s t Log10Transformc B s e Z d Z d � Z d � Z RS( g $@c C s? | j | d � } t | t j � r2 t j | � St j | � S( Ng $@( R, t isinstanceR R% t log10t np( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt transform_non_affine� s c C s t j � S( N( R) t InvertedLog10Transform( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt inverted� s ( R R t baseR7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR3 � s R8 c B s8 e Z d Z d Z e Z e Z d Z d � Z d � Z RS( i g $@c C s t j d | � d S( Ng $@( R t power( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j � S( N( R) R3 ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R: R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR8 � s t Log2Transformc B s e Z d Z d � Z d � Z RS( g @c C sL | j | d � } t | t j � r? t j | � t j d � St j | � S( Ng @i ( R, R4 R R% R* R6 t log2( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j � S( N( R) t InvertedLog2Transform( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R: R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR< � s R> c B s8 e Z d Z d Z e Z e Z d Z d � Z d � Z RS( i g @c C s t j d | � d S( Ng @( R R; ( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j � S( N( R) R< ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R: R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR> � s t NaturalLogTransformc B s# e Z e j Z d � Z d � Z RS( c C sB | j | t j � } t | t j � r5 t j | � St j | � S( N( R, R6 t eR4 R R% R* ( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j � S( N( R) t InvertedNaturalLogTransform( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R6 R@ R: R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR? � s RA c B s; e Z d Z d Z e Z e Z e j Z d � Z d � Z RS( i c C s t j t j | � t j S( N( R R; R6 R@ ( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j � S( N( R) R? ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R6 R@ R: R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyRA � s t LogTransformc B s; e Z d Z d Z e Z e Z d � Z d � Z d � Z RS( i c C s; t j | � | | _ | d k r. t | _ n t | _ d S( NR# ( R R R: R' R, R( ( R R: R- ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s c C sb | j | | j � } t | t j � rE t j | � t j | j � St j | � t j | j � S( N( R, R: R4 R R% R* R6 ( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j | j � S( N( R) t InvertedLogTransformR: ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyRB � s RC c B s; e Z d Z d Z e Z e Z d � Z d � Z d � Z RS( i c C s t j | � | | _ d S( N( R R R: ( R R: ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s c C s t j | j | � | j S( N( R R; R: ( R R& ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 � s c C s t j | j � S( N( R) RB R: ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyRC � s c K s* | j d k rH | j d d � } | j d d � } | j d d � } n6 | j d d � } | j d d � } | j d d � } | d k r� t d � � n | d k r� | j | � | _ nZ | d k r� | j | � | _ n9 | t j k r� | j | � | _ n | j | | � | _ | | _ | | _ d S( s" *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. t xt basexg $@t subsxt nonposxR# t baseyt subsyt nonposyt clips/ nonposx, nonposy kwarg must be 'mask' or 'clip'g @N( s maskRK ( t axis_namet popt Nonet ValueErrorR3 t _transformR< R6 R@ R? RB R: t subs( R R R R: RQ R- ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s$ c C s\ | j t | j � � | j t | j � � | j t | j | j � � | j t � � d S( sb Set the locators and formatters to specialized versions for log scaling. N( R R R: R R R RQ R! R ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR s c C s | j S( s Return a :class:`~matplotlib.transforms.Transform` instance appropriate for the given logarithm base. ( RP ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR ( s c C s. | d k r | p | | d k r' | p* | f S( s6 Limit the domain to positive values. g ( ( R R R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR / s ( R R R R" R R+ R3 R8 R< R> R? RA RB RC R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR) e s ) t SymmetricalLogScalec B s[ e Z d Z d Z d e f d � � YZ d e f d � � YZ d � Z d � Z d � Z RS( sh 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*). t symlogt SymmetricalLogTransformc B s; e Z d Z d Z e Z e Z d � Z d � Z d � Z RS( i c C sV t j | � | | _ | | _ | | _ | d | j d | _ t j | � | _ d S( Ng �?i����( R R R: t linthresht linscalet _linscale_adjR6 R* t _log_base( R R: RU RV ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR I s c C s� t j | � } t j | | j | j d t �} | | j | j t j t j | � | j � | j } | j j � r� t j | j | | j | � S| Sd S( Nt copy( R6 t signR t masked_insideRU t FalseRW R* t absRX R# R$ t where( R R& RZ t maskedR* ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 Q s ( c C s t j | j | j | j � S( N( RR t InvertedSymmetricalLogTransformR: RU RV ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 _ s ( R R R. R/ R0 R1 R2 R R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyRT C s R` c B s; e Z d Z d Z e Z e Z d � Z d � Z d � Z RS( i c C sk t j | � t j | | | � } | | _ | | _ | j | � | _ | | _ | d | j d | _ d S( Ng �?i����( R R RR RT R: RU t transformt invlinthreshRV RW ( R R: RU RV RS ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR i s c C s� t j | � } t j | | j | j d t �} | | j t j | j | | | j | j � } | j j � r� t j | j | | j | � S| Sd S( NRY ( R6 RZ R R[ Rb R\ RU R; R: RW R# R$ R^ ( R R& RZ R_ t exp( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR7 t s c C s t j | j | j | j � S( N( RR RT R: RU RV ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR9 � s ( R R R. R/ R0 R1 R2 R R7 R9 ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR` c s c K s | j d k rZ | j d d � } | j d d � } | j d d � } | j d d � } nH | j d d � } | j d d � } | j d d � } | j d d � } | d k s� t � | d k s� t � | d k s� t � | j | | | � | _ | | _ | | _ | | _ | | _ d S( s� *basex*/*basey*: The base of the logarithm *linthreshx*/*linthreshy*: The range (-*x*, *x*) within which the plot is linear (to avoid 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. RD RE g $@t linthreshxg @RF t linscalexg �?RH t linthreshyRI t linscaleyg N( RL RM RN t AssertionErrorRT RP R: RU RV RQ ( R R R R: RU RQ RV ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s& c C sb | j t | j � � � | j t | j � � | j t | j � | j � � | j t � � d S( sn Set the locators and formatters to specialized versions for symmetrical log scaling. N( R R R R R R: R RQ R! R ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s c C s | j S( sE Return a :class:`SymmetricalLogTransform` instance. ( RP ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyR � s ( R R R R" R RT R` R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyRR 7 s ! 2 R R* RS c C s t j � } | j � | S( N( t _scale_mappingt keyst sort( t names( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt get_scale_names� s c K sQ | j � } | d k r! d } n | t k r@ t d | � � n t | | | � S( sC Return a scale class by name. ACCEPTS: [ %(names)s ] R s Unknown scale type '%s'N( t lowerRN Ri RO ( t scaleR R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt scale_factory� s s | Rl c C s | t | j <d S( sd Register a new kind of scale. *scale_class* must be a subclass of :class:`ScaleBase`. N( Ri R" ( t scale_class( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt register_scale� s c C s� g } x� t � D]� } t | } | j d | � | j d � t | j j � } d j g | j d � D] } d | ^ qf � } | j | � | j d � q Wd j | � S( sF Helper function for generating docstrings related to scales. s '%s't s s %s ( Rm Ri t appendR R R t joint split( t docsR" Rq t class_docsRD ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt get_scale_docs� s & Ro t scale_docs(' t __future__R t numpyR6 R t matplotlib.cbookR t matplotlib.tickerR R R R R R R t matplotlib.transformsR R t matplotlibR t objectR R R' R( R) RR Ri Rm Rp R Ru Rr Ry t interpdt updateRD t reprt strip( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/scale.pyt <module> s4 ") �� +
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