# Miscellaneous routines (scipy.misc)ΒΆ

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. comb(N, k[, exact, repetition]) 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 a point. 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 from a file as an array. imresize(arr, size[, interp, mode]) Resize an image. imrotate(arr, angle[, interp]) Rotate an image counter-clockwise by angle degrees. imsave(name, arr[, format]) 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 bit-depth, 512 x 512 size. logsumexp(a[, axis, b]) Compute the log of the sum of exponentials of input elements. pade(an, m) Return Pade approximation to a polynomial as the ratio of two polynomials. toimage(arr[, high, low, cmin, cmax, pal, ...]) Takes a numpy array and returns a PIL image. who([vardict]) Print the Numpy arrays in the given dictionary.

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