# scipy/scipy

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 """ ========================================== Miscellaneous routines (:mod:`scipy.misc`) ========================================== .. currentmodule:: 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. .. autosummary:: :toctree: generated/ ascent - Get example image for processing bytescale - Byte scales an array (image) [requires Pillow] central_diff_weights - Weights for an n-point central m-th derivative comb - Combinations of N things taken k at a time, "N choose k" (imported from scipy.special) derivative - Find the n-th derivative of a function at a point face - Get example image for processing factorial - The factorial function, n! = special.gamma(n+1) (imported from scipy.special) factorial2 - Double factorial, (n!)! (imported from scipy.special) factorialk - (...((n!)!)!...)! where there are k '!' (imported from scipy.special) fromimage - Return a copy of a PIL image as a numpy array [requires Pillow] imfilter - Simple filtering of an image [requires Pillow] imread - Read an image file from a filename [requires Pillow] imresize - Resize an image [requires Pillow] imrotate - Rotate an image counter-clockwise [requires Pillow] imsave - Save an array to an image file [requires Pillow] imshow - Simple showing of an image through an external viewer [requires Pillow] info - Get help information for a function, class, or module lena - Get classic image processing example image Lena logsumexp - Compute the log of the sum of exponentials of input elements pade - Pade approximation to function as the ratio of two polynomials toimage - Takes a numpy array and returns a PIL image [requires Pillow] source - Print function source code who - Print the Numpy arrays in the given dictionary """ from __future__ import division, print_function, absolute_import __all__ = ['who', 'source', 'info', 'doccer', 'comb', 'factorial', 'factorial2', 'factorialk'] from . import doccer from .common import * from numpy import who, source, info as _info from scipy.special import comb, factorial, factorial2, factorialk import sys def info(object=None,maxwidth=76,output=sys.stdout,toplevel='scipy'): return _info(object, maxwidth, output, toplevel) info.__doc__ = _info.__doc__ del sys try: from .pilutil import * from . import pilutil __all__ += pilutil.__all__ del pilutil except ImportError: pass from . import common __all__ += common.__all__ del common from numpy.testing import Tester test = Tester().test