This is documentation for an old release of SciPy (version 0.10.0). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).

Miscellaneous routines (scipy.misc)

Various utilities that don’t have another home.

Note that the Python Imaging Library (PIL) is not a dependency of SciPy and therefore the pilutil module is not available on systems that don’t have PIL installed.

bytescale(data[, cmin, cmax, high, low])	Byte scales an array (image).
central_diff_weights(Np[, ndiv])	Return weights for an Np-point central derivative of order ndiv
comb(N, k[, exact])	The number of combinations of N things taken k at a time.
derivative(func, x0[, dx, n, args, order])	Find the n-th derivative of a function at point x0.
factorial(n[, exact])	The factorial function, n! = special.gamma(n+1).
factorial2(n[, exact])	Double factorial.
factorialk(n, k[, exact])	n(!!...!) = multifactorial of order k
fromimage(im[, flatten])	Return a copy of a PIL image as a numpy array.
imfilter(arr, ftype)	Simple filtering of an image.
imread(name[, flatten])	Read an image file from a filename.
imresize(arr, size[, interp, mode])	Resize an image.
imrotate(arr, angle[, interp])	Rotate an image counter-clockwise by angle degrees.
imsave(name, arr)	Save an array as an image.
imshow(arr)	Simple showing of an image through an external viewer.
info([object, maxwidth, output, toplevel])	Get help information for a function, class, or module.
lena()	Get classic image processing example image, Lena, at 8-bit grayscale
pade(an, m)	Given Taylor series coefficients in an, return a Pade approximation to
radon(arr[, theta])
toimage(arr[, high, low, cmin, cmax, pal, ...])	Takes a numpy array and returns a PIL image. The mode of the