/opt/alt/python27/lib64/python2.7/site-packages/matplotlib
Edit: /opt/alt/python27/lib64/python2.7/site-packages/matplotlib/_image.so (282856B)
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*f 1$ ( h= o X o o R o @$ *$ v & 6 F V f v ! ! &! 6! F! V! f! v! ! ! ! ! ! ! ! ! " " &" 6" F" V" f" v" " " " " " " " " # # &# 6# F# V# f# v# # # # # # # # # $ $ &$ 6$ F$ V$ f$ v$ $ $ $ $ $ $ $ $ % % &% 6% F% V% f% v% % % % % % % % % & & && 6& F& V& f& v& & & & & & & & & ' ' &' 6' F' V' f' v' ' ' ' ' ' ' ' ' ( ( &( 6( F( V( f( v( ( ( ( ( ( ( ( ( ) ) &) 6) F) V) f) v) ) ) ) ) ) ) ) ) * * &* 6* F* V* f* v* * * * * * * * * + + &+ 6+ F+ V+ f+ v+ + + + + + + + + , , &, 6, F, V, f, v, , , , , , , , , - - &- 6- F- V- f- v- - - - - - - - - . . &. 6. F. V. f. v. . . . . . . . . / / &/ 6/ apply_rotation(angle)
Apply the rotation (degrees) to image flipud()
Flip the output image upside down flipud()
Flip the input image upside down set_bg(r,g,b,a)
Set the background color apply_scaling(sx, sy)
Apply the scale factors sx, sy to the transform matrix apply_translation(tx, ty)
Apply the translation tx, ty to the transform matrix numrows, numcols, s = as_rgba_str()
Call this function after resize to get the data as string
The string is a numrows by numcols x 4 (RGBA) unsigned char buffer
numrows, numcols, buffer = color_conv(format)
format 0(BGRA) or 1(ARGB)
Convert image to format and return in a writable buffer
buffer = buffer_rgba()
Return the image buffer as rgba32
reset_matrix()
Reset the transformation matrix (m11,m21,m12,m22,m13,m23) = get_matrix()
Get the affine transformation matrix
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\ 0 , 0 , 1 / resize(width, height, norm=1, radius=4.0)
Resize the image to width, height using interpolation
norm and radius are optional args for some of the filters and must be
passed as kwargs
get_interpolation()
Get the interpolation scheme to one of the module constants, one of image.NEAREST, image.BILINEAR, etc... get_aspect()
Get the aspect constraint constants numrows, numcols = get_size()
Get the number or rows and columns of the input image get_resample()
Get the resample flag. numrows, numcols = get_size()
Get the number or rows and columns of the output image set_interpolation(scheme)
Set the interpolation scheme to one of the module constants, eg, image.NEAREST, image.BILINEAR, etc... set_resample(boolean)
Set the resample flag. set_aspect(scheme)
Set the aspect ration to one of the image module constant.eg, one of image.ASPECT_PRESERVE, image.ASPECT_FREE from_images(numrows, numcols, seq)
return an image instance with numrows, numcols from a seq of image
instances using alpha blending. seq is a list of (Image, ox, oy) fromarray(A, isoutput)
Load the image from a numpy array
By default this function fills the input buffer, which can subsequently
be resampled using resize. If isoutput=1, fill the output buffer.
This is used to support raw pixel images w/o resampling fromarray2(A, isoutput)
Load the image from a numpy array
By default this function fills the input buffer, which can subsequently
be resampled using resize. If isoutput=1, fill the output buffer.
This is used to support raw pixel images w/o resampling frombyte(A, isoutput)
Load the image from a byte array.
By default this function fills the input buffer, which can subsequently
be resampled using resize. If isoutput=1, fill the output buffer.
This is used to support raw pixel images w/o resampling. frombuffer(buffer, width, height, isoutput)
Load the image from a character buffer
By default this function fills the input buffer, which can subsequently
be resampled using resize. If isoutput=1, fill the output buffer.
This is used to support raw pixel images w/o resampling. pcolor(x, y, data, rows, cols, bounds)
Generate a pseudo-color image from data on a non-uniform grid using
nearest neighbour or linear interpolation.
bounds = (x_min, x_max, y_min, y_max)
interpolation = NEAREST or BILINEAR
pcolor2(x, y, data, rows, cols, bounds, bg)
Generate a pseudo-color image from data on a non-uniform grid
specified by its cell boundaries.
bounds = (x_left, x_right, y_bot, y_top)
bg = ndarray of 4 uint8 representing background rgba
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