/usr/lib64/python2.6/site-packages/matplotlib/
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Edit: /usr/lib64/python2.6/site-packages/matplotlib/_image.so (282248B)
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Consider downsampling or decimating your data.cannot return std::string from Unicode objectCXX - cannot invoke varargs method named CXX - cannot invoke keyword method named Image::color_conv could not allocate memoryImage::color_conv unknown formatIncorrect number of arguments (6 expected)rows and cols must both be less than 32768Incorrect number of bounds (4 expected)rows or cols is zero; there are no pixelsx is of incorrect type (wanted 1D double)y is of incorrect type (wanted 1D double)data is of incorrect type (wanted 3D uint8)data and axis bin boundary dimensions are incompatiblebg is of incorrect type (wanted 1D uint8)Cannot allocate memory for lookup tableCould not allocate memory for imageIncorrect number of arguments (7 expected)x is of incorrect type (wanted 1D float)y is of incorrect type (wanted 1D float)data is of incorrect type (wanted 3D UInt8)data and axis dimensions do not matchx and y must both be less than 32768First argument must be a buffer.Cannot get buffer from object.Buffer length must be width * height * 4._image_module::frombuffer could not allocate memoryArray dimension 3 must have size 3 or 4_image_module::frombyte could not allocate memoryArray must be rank 2 or 3 of doubles_image_module::fromarray could not allocate memory3rd dimension must be length 3 (RGB) or 4 (RGBA); found %dIllegal array rank; must be rank; must 2 or 3Image::resize could not allocate memorymodule compiled against version %x of C-API but this version of numpy is %xFATAL: module compiled as unknown endianFATAL: module compiled aslittle endian, but detected different endianness at runtimenumpy.core.multiarray failed to importnumrows and numcols must both be less than 32768_image_module::from_images could not allocate memory<0<;p;:N79N797N7N778b`~_~^KKKTTRRWV\ZD\5a 0`   0 ` 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"!!Y##" """!"$##"d+++,%,++*,,,,   !!!"""####$*-*-*,***-+-+-++-+,,,----}2 : B To          .                              }3;CU    G       U             }2 : B T    ]  ,     L                          }1 9 A S    ]  )     J                        }/:BJ_q/3XC/   k  q   9 :;5(~;J2J 5} 274{4<DS)q <27-{4<DS)q <27-]6>FXY.K]WN%7}@% - 5 T .  .  .  54<DQ#|'/ ,   KR4<DQs' R4<DQs' 0)19Kd'<hDhLhaxgggh5hhhhhhgggccc#ccce T S3 S&/03/4 3@S@/SSUbUbUcUUSV/]S^/bbccgdgdfddgd5ge.gegeffgfgfggg}+838;8d8993899&8995999&8;;5;;;&8;<5<<;&8<< 5< < < &8 < < 5< < < &8 = = 58 = = &8 8 5 5558&8555555&8555555&8555655&8665666&8995999&8995999&8::5:::&8::5:::&8::5;::&8;;5;;;#88858888 5 5!6%&(7&7&}7(7(7(97)7):7*7*7*7+76+7+[7,6,66-6-6.7.7.4172.374(65586 >F [n9-"2-'61/       ,1F,1}/?GOau*'_/?GOau*'e)5=EO8' ,(PE ( 1 4         %}}2 / Z u [     7             "  }}1  =bSup <J_%!R p =bSup5/(E\%}; d;; d; =bSup =bSup=5(E\*}P00j$'e6eJeTebere  qo]  e `/$h= oooo$H($&6FVfv  & 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...apply_rotation(angle) Apply the rotation (degrees) to imageflipud() Flip the output image upside downflipud() Flip the input image upside downset_bg(r,g,b,a) Set the background colorapply_scaling(sx, sy) Apply the scale factors sx, sy to the transform matrixapply_translation(tx, ty) Apply the translation tx, ty to the transform matrixnumrows, 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 /m11,m12,m13\ /m21,m22,m23| \ 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 constantsnumrows, numcols = get_size() Get the number or rows and columns of the input imageget_resample() Get the resample flag.numrows, numcols = get_size() Get the number or rows and columns of the output imageset_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_FREEfrom_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 resamplingfromarray2(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 resamplingfrombyte(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 _image.so.debugc.shstrtab.note.gnu.build-id.gnu.hash.dynsym.dynstr.gnu.version.gnu.version_r.rela.dyn.rela.plt.init.text.fini.rodata.eh_frame_hdr.eh_frame.gcc_except_table.ctors.dtors.jcr.data.rel.ro.dynamic.got.got.plt.data.bss.gnu_debuglink $oh(   G0]]e8oEoTh=^ hcn..XCtqqz r r+ LLd$E0$0$$$H H($H(*$*H`/$`/`7$`7 pF$pFxpFF