numpy.subtract()

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

Subtract arguments, element-wise.

Parameters:

Parameters:	x1, x2 : array_like The arrays to be subtracted from each other.
Returns:	y : ndarray The difference of `x1` and `x2`, element-wise. Returns a scalar if both `x1` and `x2` are scalars.

x1, x2 : array_like

The arrays to be subtracted from each other.

Returns:

y : ndarray

The difference of x1 and x2, element-wise. Returns a scalar if both x1 and x2 are scalars.

Notes

Equivalent to x1 - x2 in terms of array broadcasting.

Examples

>>> np.subtract(1.0, 4.0)
-3.0

>>> x1 = np.arange(9.0).reshape((3, 3))
>>> x2 = np.arange(3.0)
>>> np.subtract(x1, x2)
array([[ 0.,  0.,  0.],
       [ 3.,  3.,  3.],
       [ 6.,  6.,  6.]])

Links:

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

doc_NumPy

2025-01-10 15:47:30

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