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]) | 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. |