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LogLocatort AutoLocatort SymmetricalLogLocatort FixedLocator( t Transformt IdentityTransformt 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`
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Return the :class:`~matplotlib.transforms.Transform` object
associated with this scale.
N( t NotImplementedError( t self( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt
get_transform s c C s
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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/python2.6/site-packages/matplotlib/scale.pyt# set_default_locators_and_formatters! s c C s
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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/python2.6/site-packages/matplotlib/scale.pyt limit_range_for_scale) s ( t __name__t
__module__t __doc__R R R ( ( ( s6 /usr/lib64/python2.6/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/python2.6/site-packages/matplotlib/scale.pyt __init__: s c C sD | i t ƒ ƒ | i t ƒ ƒ | i t ƒ ƒ | i t ƒ ƒ 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/python2.6/site-packages/matplotlib/scale.pyR = s c C s t ƒ S( sy
The transform for linear scaling is just the
:class:`~matplotlib.transforms.IdentityTransform`.
( R ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR G s ( R R R t nameR R R ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR 3 s
c C s1 | d j } | i ƒ o t i | d | ƒS| 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/python2.6/site-packages/matplotlib/scale.pyt _mask_non_positivesO s
c C s d | | d j <| S( NgYóøÂ n¥g ( ( R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt _clip_non_positivesZ s t LogScalec B sþ e Z d Z d Z d e f d „ ƒ YZ d e f d „ ƒ YZ d e f d „ ƒ YZ d e f d „ ƒ YZ d
e f d „ ƒ YZ d e f d
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d e f d „ ƒ YZ d e f d „ ƒ YZ d e f d „ ƒ YZ
d „ Z d „ Z d „ Z d „ Z RS( sÔ
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 d „ Z RS( i c C s4 t i | ƒ | d j o
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input_dimst output_dimst Truet is_separableR ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR+ o s t Log10Transformc B s e Z d Z d „ Z d „ Z RS( g $@c C s> | i | d ƒ } t | t ƒ o t i | ƒ St i | ƒ S( Ng $@( R, t
isinstanceR% R t log10t np( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt transform s c C s
t i ƒ S( N( R) t InvertedLog10Transform( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt inverted… s ( R R t baseR6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR2 | s R7 c B s2 e Z d Z d Z e Z d Z d „ Z d „ Z RS( i g $@c C s t i d | ƒ d S( Ng $@( R t power( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 Ž s c C s
t i ƒ S( N( R) R2 ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 ‘ s ( R R R. R/ R0 R1 R9 R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR7 ˆ s t
Log2Transformc B s e Z d Z d „ Z d „ Z RS( g @c C sK | i | d ƒ } t | t ƒ o t i | ƒ t i d ƒ St i | ƒ S( Ng @i ( R, R3 R% R R* R5 t log2( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 — s c C s
t i ƒ S( N( R) t InvertedLog2Transform( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 s ( R R R9 R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR; ” s R= c B s2 e Z d Z d Z e Z d Z d „ Z d „ Z RS( i g @c C s t i d | ƒ d S( Ng @( R R: ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 ¦ s c C s
t i ƒ S( N( R) R; ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 © s ( R R R. R/ R0 R1 R9 R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR= s t NaturalLogTransformc B s# e Z e i Z d „ Z d „ Z RS( c C sA | i | t i ƒ } t | t ƒ o t i | ƒ St i | ƒ S( N( R, R5 t eR3 R% R R* ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 ¯ s c C s
t i ƒ S( N( R) t InvertedNaturalLogTransform( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 µ s ( R R R5 R? R9 R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR> ¬ s R@ c B s5 e Z d Z d Z e Z e i Z d „ Z d „ Z
RS( i c C s t i t i | ƒ t i S( N( R R: R5 R? ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 ¾ s c C s
t i ƒ S( N( R) R> ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 Á s ( R R R. R/ R0 R1 R5 R? R9 R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR@ ¸ s t LogTransformc B s5 e Z d Z d Z e Z d „ Z d „ Z d „ Z RS( i c C s= t i | ƒ | | _ | d j o
t | _ n
t | _ d S( NR# ( R R R9 R' R, R( ( R R9 R- ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR É s
c C sa | i | | i ƒ } t | t ƒ o t i | ƒ t i | i ƒ St i | ƒ t i | i ƒ S( N( R, R9 R3 R% R R* R5 ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 Ñ s c C s t i | i ƒ S( N( R) t InvertedLogTransformR9 ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 × s ( R R R. R/ R0 R1 R R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyRA Ä s RB c B s5 e Z d Z d Z e Z d „ Z d „ Z d „ Z RS( i c C s t i | ƒ | | _ d S( N( R R R9 ( R R9 ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR ß s
c C s t i | i | ƒ | i S( N( R R: R9 ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 ã s c C s t i | i ƒ S( N( R) RA R9 ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 æ s ( R R R. R/ R0 R1 R R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyRB Ú s c K s4 | i d j o: | i d d ƒ } | i d d
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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: ``[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]``
will place 10 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 maskRJ (
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c C s\ | i t | i ƒ ƒ | i t | i ƒ ƒ | i t | i | i ƒ ƒ | i t ƒ ƒ d S( sb
Set the locators and formatters to specialized versions for
log scaling.
N( R R R9 R R R RP R! R ( R R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR s c C s | i S( s
Return a :class:`~matplotlib.transforms.Transform` instance
appropriate for the given logarithm base.
( RO ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR s c C s2 | d j o | p | | d j o | p | f S( s6
Limit the domain to positive values.
g ( ( R R R R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR $ s ( R R R R" R R+ R2 R7 R; R= R> R@ RA RB R R R R ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR) ^ s
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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 s5 e Z d Z d Z e Z d „ Z d „ Z d „ Z RS( i c C sR t i | ƒ | | _ | | _ t i | ƒ | _ t i | ƒ | i | | _ d S( N( R R R9 t linthreshR5 R* t _log_baset
_linadjust( R R9 RT ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR = s
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masked_insideRT t FalseR* t absRU R# R$ t whereRV ( R R& RY t maskedR* ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 D s "#
c C s t i | i | i ƒ S( N( RQ t InvertedSymmetricalLogTransformR9 RT ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 P s ( R R R. R/ R0 R1 R R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyRS 8 s R_ c B s5 e Z d Z d Z e Z d „ Z d „ Z d „ Z RS( i c C sk t i | ƒ | | _ | | _ t i | ƒ | _ t i | ƒ | i | _ | t i | ƒ | i | _ d S( N( R R R9 RT R5 R* RU t _log_linthreshRV ( R R9 RT ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR X s
c C sk t i | ƒ } t i | | i j t i | | i j | | i t i | i | ƒ ƒ t i | i | ƒ ƒ S( N( R5 RX R] R` RV R: R9 ( R R& ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR6 ` s
c C s t i | i ƒ S( N( RQ RS R9 ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR8 h s ( R R R. R/ R0 R1 R R6 R8 ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR_ S s c K s´ | i d j o: | i d d ƒ } | i d d ƒ } | i d d
ƒ } n7 | i d d ƒ } | i d d ƒ } | i d d
ƒ } | i | | ƒ | _ | | _ | | _ | | _ 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: ``[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]``
will place 10 logarithmically spaced minor ticks between
each major tick.
RC RD g $@t
linthreshxg @RE RG t
linthreshyRH N( RK RL RM RS RO R9 RT RP ( R R R R9 RT RP ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR k s c C sb | i t | i ƒ ƒ ƒ | i t | i ƒ ƒ | i t | i ƒ | i ƒ ƒ | i t ƒ ƒ d S( sn
Set the locators and formatters to specialized versions for
symmetrical log scaling.
N(
R R R R R R9 R RP R! R ( R R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR ‹ s c C s | i S( sE
Return a :class:`SymmetricalLogTransform` instance.
( RO ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyR • s (
R R R R" R RS R_ R R R ( ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyRQ , s
R R* RR c C s t i ƒ } | i ƒ | S( N( t _scale_mappingt keyst sort( t names( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt get_scale_names¢ s
c K sU | i ƒ } | d j o
d } n | t j o t d | ƒ ‚ n t | | | S( sC
Return a scale class by name.
ACCEPTS: [ %(names)s ]
R s Unknown scale type '%s'N( t lowerRM Rc RN ( t scaleR R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/scale.pyt
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