numpy.power()

numpy.power(x1, x2[, out]) =

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.

Parameters:

Parameters:	x1 : array_like The bases. x2 : array_like The exponents.
Returns:	y : ndarray The bases in `x1` raised to the exponents in `x2`.

x1 : array_like

The bases.

x2 : array_like

The exponents.

Returns:

y : ndarray

The bases in x1 raised to the exponents in x2.

Examples

Cube each element in a list.

>>> x1 = range(6)
>>> x1
[0, 1, 2, 3, 4, 5]
>>> np.power(x1, 3)
array([  0,   1,   8,  27,  64, 125])

Raise the bases to different exponents.

>>> x2 = [1.0, 2.0, 3.0, 3.0, 2.0, 1.0]
>>> np.power(x1, x2)
array([  0.,   1.,   8.,  27.,  16.,   5.])

The effect of broadcasting.

>>> x2 = np.array([[1, 2, 3, 3, 2, 1], [1, 2, 3, 3, 2, 1]])
>>> x2
array([[1, 2, 3, 3, 2, 1],
       [1, 2, 3, 3, 2, 1]])
>>> np.power(x1, x2)
array([[ 0,  1,  8, 27, 16,  5],
       [ 0,  1,  8, 27, 16,  5]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.power.html

doc_NumPy

2025-01-10 15:47:30

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