理解numpy.power

• 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.

• 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.