""" ========================================== 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 central_diff_weights - Weights for an n-point central m-th derivative derivative - Find the n-th derivative of a function at a point face - Get example image for processing electrocardiogram - Load an example of a one-dimensional signal.
Deprecated functions:
.. autosummary:: :toctree: generated/
bytescale - Byte scales an array (image) [requires Pillow] 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] toimage - Takes a numpy array and returns a PIL image [requires Pillow]
Deprecated aliases:
.. autosummary:: :toctree: generated/
comb - Combinations of N things taken k at a time, "N choose k" (imported from `scipy.special`) 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`) logsumexp - Compute the log of the sum of exponentials of input elements (imported from `scipy.special`) pade - Pade approximation to function as the ratio of two polynomials. (imported from `scipy.interpolate`) info - Get help information for a function, class, or module. (imported from `numpy`) source - Print function source code. (imported from `numpy`) who - Print the Numpy arrays in the given dictionary. (imported from `numpy`)
"""
'comb', 'factorial', 'factorial2', 'factorialk', 'logsumexp']
factorial as _fact, factorial2 as _fact2, factorialk as _factk)
"`scipy.special.%(name)s` instead.")
"`scipy.interpolate.pade` instead.")
"`numpy.%(name)s` instead.")
return _info(object, maxwidth, output, toplevel)
except ImportError: pass
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