# scipy/scipy

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 """ ========================================== Miscellaneous routines (:mod:`scipy.misc`) ========================================== .. currentmodule:: 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. .. autosummary:: :toctree: generated/ bytescale - Byte scales an array (image) 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" derivative - Find the n-th derivative of a function at a point factorial - The factorial function, n! = special.gamma(n+1) factorial2 - Double factorial, (n!)! factorialk - (...((n!)!)!...)! where there are k '!' fromimage - Return a copy of a PIL image as a numpy array imfilter - Simple filtering of an image imread - Read an image file from a filename imresize - Resize an image imrotate - Rotate an image counter-clockwise imsave - Save an array to an image file imshow - Simple showing of an image through an external viewer 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 who - Print the Numpy arrays in the given dictionary """ from __future__ import division, print_function, absolute_import __all__ = ['who', 'source', 'info', 'doccer'] from . import doccer from .common import * from numpy import who, source, info as _info 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
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