Miscellaneous routines (scipy.misc)¶

Various utilities that don’t have another home.

Note that Pillow (https://python-pillow.org/) is not a dependency of SciPy, but the image manipulation functions indicated in the list below are not available without it.

 ascent() Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos 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. face([gray]) Get a 1024 x 768, color image of a raccoon face. factorial(n[, exact]) The factorial of a number or array of numbers. factorial2(n[, exact]) Double factorial. factorialk(n, k[, exact]) Multifactorial of n of order k, n(!!...!). fromimage(im[, flatten, mode]) Return a copy of a PIL image as a numpy array. imfilter(arr, ftype) Simple filtering of an image. imread(name[, flatten, mode]) 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() Function that previously returned an example image logsumexp(a[, axis, b, keepdims, return_sign]) 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. source(object[, output]) Print or write to a file the source code for a NumPy object. who([vardict]) Print the NumPy arrays in the given dictionary.

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