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 | |
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 | |
imfilter | |
imread | |
imresize | |
imrotate | |
imsave | |
imshow | |
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 | |
who([vardict]) | Print the Numpy arrays in the given dictionary. |