# 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

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scipy.misc.bytescale