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numpy.power
numpy.power(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])=<ufunc 'power'>
First array elements raised to powers from second array, element-wise.
Raise each base in x1 to the positionally-corresponding power in x2.
x1 and x2 must be broadcastable to the same shape.
Note that an integer type raised to a negative integer power will raise a ValueError.
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Parameters
para type meaning x1 array_like the bases x2 array_like the exponents.
If x1.shape!=x2.shape, they must be broadcastable to a common shape(which becomes the shape of the output)out ndarray,None, or tuple of ndarray and None, optional A location into which the result is stored. where array_like, optional **kwargs Optional keyword arguments Returns y which is ndarray. The bases in x1 raised to the exponent in x2. It is a scalar if both x1 and x2 are scalars.
理解numpy.power
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转载自blog.csdn.net/The_Time_Runner/article/details/109230486
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