/usr/lib64/python2.6/site-packages/matplotlib
Edit: /usr/lib64/python2.6/site-packages/matplotlib/image.pyc (33042B)
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The image module supports basic image loading, rescaling and display
operations.
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interpolation and cmap default to their rc settings
cmap is a colors.Colormap instance
norm is a colors.Normalize instance to map luminance to 0-1
extent is data axes (left, right, bottom, top) for making image plots
registered with data plots. Default is to label the pixel
centers with the zero-based row and column indices.
Additional kwargs are matplotlib.artist properties
s image.originN( t martistt Artistt __init__t cmt ScalarMappablet NoneR t origint _extentt set_filternormt
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c C s. | i d j o t d n | i i d S( s+ Get the numrows, numcols of the input images" You must first set the image arrayi N( t _AR" t RuntimeErrort shape( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt get_sizee s c C s t i i | | d | _ d S( sw
Set the alpha value used for blending - not supported on
all backends
ACCEPTS: float
N( R R t set_alphaR" R* ( R t alpha( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR9 l s c C s& d | _ d | _ t i i | d S( sb
Call this whenever the mappable is changed so observers can
update state
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Test whether the mouse event occured within the image.
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7c C s | i } | d j o d S| o= | i \ } } | i | i d | i | | n | i | i \ } } } t i | | | | d S( s& Write the image to png file with fnameNi (
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Set the image array
ACCEPTS: numpy/PIL Image A
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retained for backwards compatibility - use set_data instead
ACCEPTS: numpy array A or PIL ImageN( R ( R R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt set_array3 s c C s | | _ | \ } } } } | | f | | f f } | i i | | i i o | i i | | f n | i i o | i i | | f n d S( sW
extent is data axes (left, right, bottom, top) for making image plots
N( R$ R t update_datalimt
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Return the interpolation method the image uses when resizing.
One of 'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36', 'hanning',
'hamming', 'hermite', 'kaiser', 'quadric', 'catrom', 'gaussian',
'bessel', 'mitchell', 'sinc', 'lanczos',
( Ra ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt get_interpolationN s c C sT | d j o t d } n | i } | | i j o t d n | | _ d S( s?
Set the interpolation method the image uses when resizing.
ACCEPTS: ['nearest' | 'bilinear' | 'bicubic' | 'spline16' |
'spline36' | 'hanning' | 'hamming' | 'hermite' | 'kaiser' |
'quadric' | 'catrom' | 'gaussian' | 'bessel' | 'mitchell' |
'sinc' | 'lanczos' | ]
s image.interpolations Illegal interpolation stringN( R" R t lowerR` t
ValueErrorRa ( R t s( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR( X s
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set whether or not image resampling is used
ACCEPTS: True|False
s image.resampleN( R" R Rb ( R t v( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR) h s
c C s | i S( s! return the image resample boolean( Rb ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt get_resampleq s c C su | i d j o | i S| i } | \ } } | i d j o d | d | d d f Sd | d d | d f Sd S( s. get the image extent: left, right, bottom, topR= g g ?N( R$ R" R8 R# ( R t szRr Rs ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR? u s c C s! | o
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Set whether the resize filter norms the weights -- see
help for imshow
ACCEPTS: 0 or 1
i i N( Rh ( R R1 ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR% s
c C s | i S( s return the filternorm setting( Rh ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt get_filternorm s c C s- t | } | d j p t | | _ d S( s
Set the resize filter radius only applicable to some
interpolation schemes -- see help for imshow
ACCEPTS: positive float
i N( R t AssertionErrorR' ( R R2 R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyR& s c C s | i S( s return the filterrad setting( R' ( R ( ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt
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kwargs are identical to those for AxesImage, except
that 'interpolation' defaults to 'nearest'
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- t PcolorImagec B s\ e Z d Z d d d d d d Z d d Z e d Z d Z d Z d Z
RS( s
Make a pcolor-style plot with an irregular rectangular grid.
This uses a variation of the original irregular image code,
and it is used by pcolorfast for the corresponding grid type.
c K s\ t i i | t i i | | | | | _ d | _ | i | | i | | | d S( s
cmap defaults to its rc setting
cmap is a colors.Colormap instance
norm is a colors.Normalize instance to map luminance to 0-1
Additional kwargs are matplotlib.artist properties
N(
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`_ is installed, it will
use it to load the image and return an array (if possible) which
can be used with :func:`~matplotlib.pyplot.imshow`.
c s@ y d d k } Wn t j
o d SX| i } t | S( s- try to load the image with PIL or return NoneiN( t Imaget ImportErrorR" t openR ( R t image( R ( s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt pilread s t pngi s\ Only know how to handle extensions: %s; with PIL installed matplotlib can handle more imagesN( R t read_pngt ost patht splitextR R R" R ( R R t handlerst basenamet extR| t handler( ( R s6 /usr/lib64/python2.6/site-packages/matplotlib/image.pyt imread s
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Saves a 2D :class:`numpy.array` as an image with one pixel per element.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename.
*arr*:
A 2D array.
Keyword arguments:
*vmin*/*vmax*: [ None | scalar ]
*vmin* and *vmax* set the color scaling for the image by fixing the
values that map to the colormap color limits. If either *vmin* or *vmax*
is None, that limit is determined from the *arr* min/max value.
*cmap*:
cmap is a colors.Colormap instance, eg cm.jet.
If None, default to the rc image.cmap value.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*origin*
[ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value.
i( t FigureCanvasAgg( t Figuret figsizeNt dpii t frameonR- t vmint vmaxR# t format( t matplotlib.backends.backend_aggR t matplotlib.figureR! R7 RS t figimaget savefig( R t arrR% R& R- R' R# t FigureCanvasR! R
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load a PIL image and return it as a numpy array of uint8. For
grayscale images, the return array is MxN. For RGB images, the
return value is MxNx3. For RGBA images the return value is MxNx4
c S s4 | i d | i d d } t i | t i } | S( s return a 1D array of floatst rawi i( t tostringt modeRN t
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make a thumbnail of image in *infile* with output filename
*thumbfile*.
*infile* the image file -- must be PNG or PIL readable if you
have `PIL `_ installed
*thumbfile*
the thumbnail filename
*scale*
the scale factor for the thumbnail
*interpolation*
the interpolation scheme used in the resampling
*preview*
if True, the default backend (presumably a user interface
backend) will be used which will cause a figure to be raised
if :func:`~matplotlib.pyplot.show` is called. If it is False,
a pure image backend will be used depending on the extension,
'png'->FigureCanvasAgg, 'pdf'->FigureCanvasPDF,
'svg'->FigureCanvasSVG
See examples/misc/image_thumbnail.py.
.. htmlonly::
:ref:`misc-image_thumbnail`
Return value is the figure instance containing the thumbnail
id iNR" R# s .png( R s .pdf( t FigureCanvasPDFs .svg( t FigureCanvasSVGs0 Can only handle extensions 'png', 'svg' or 'pdf'( R! i i t aspectt autoR$ t xtickst yticksR3 R/ R ( R R t splitR R R7 R R t matplotlib.pyplott pyplotR R( R t matplotlib.backends.backend_pdfR< t matplotlib.backends.backend_svgR= R R) R! t add_axesRS t imshowR R+ ( t infilet thumbfilet scaleR/ t previewt basedirR t baseoutt extoutR| R R t depthR# RB RA t extensiont pltR
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