numpy.fmod(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'fmod'>
Return the elementwise 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: 


Returns: 

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/numpy1.17.0/reference/generated/numpy.fmod.html