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# 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.
`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 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 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
`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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