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numpy.fmod(x1, x2[, out]) =
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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 operatorx1 % x2
.Parameters: x1 : array_like
Dividend.
x2 : array_like
Divisor.
Returns: y : array_like
The remainder of the division of
x1
byx2
.Notes
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 forremainder
the sign of the result is the sign of the divisor. Thefmod
function is equivalent to the Matlab(TM)rem
function.Examples
>>> 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]])
numpy.fmod()
2017-01-10 18:14:06
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