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# 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` |
`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` |
`imfilter` |
`imread` |
`imresize` |
`imrotate` |
`imsave` |
`imshow` |
`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` |
`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.