numpy.fmod(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'fmod'>
Return the element-wise remainder of division.
This is the NumPy implementation of the C library function fmod, the remainder has the same sign as the dividend x1
. It is equivalent to the Matlab(TM) rem
function and should not be confused with the Python modulus operator x1 % x2
.
Parameters: |
x1 : array_like Dividend. x2 : array_like Divisor. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs. |
---|---|
Returns: |
y : array_like The remainder of the division of |
The result of the modulo operation for negative dividend and divisors is bound by conventions. For fmod
, the sign of result is the sign of the dividend, while for remainder
the sign of the result is the sign of the divisor. The fmod
function is equivalent to the Matlab(TM) rem
function.
>>> np.fmod([-3, -2, -1, 1, 2, 3], 2) array([-1, 0, -1, 1, 0, 1]) >>> np.remainder([-3, -2, -1, 1, 2, 3], 2) array([1, 0, 1, 1, 0, 1])
>>> np.fmod([5, 3], [2, 2.]) array([ 1., 1.]) >>> a = np.arange(-3, 3).reshape(3, 2) >>> a array([[-3, -2], [-1, 0], [ 1, 2]]) >>> np.fmod(a, [2,2]) array([[-1, 0], [-1, 0], [ 1, 0]])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.fmod.html