fmod(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

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 .

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 for remainder the sign of the result is the sign of the divisor. The fmod function is equivalent to the Matlab(TM) rem function.

Parameters

x1 : array_like

Dividend.

x2 : array_like

Divisor. If x1.shape != x2.shape , they must be broadcastable to a common shape (which becomes the shape of the output).

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 None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where : array_like, optional

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

y : array_like

The remainder of the division of x1 by :None:None:`x2`. This is a scalar if both x1 and :None:None:`x2` are scalars.

Returns the element-wise remainder of division.

See Also

divide

remainder

Equivalent to the Python % operator.

Examples

This example is valid syntax, but we were not able to check execution

>>> np.fmod([-3, -2, -1, 1, 2, 3], 2)
array([-1,  0, -1,  1,  0,  1])

This example is valid syntax, but we were not able to check execution

>>> np.remainder([-3, -2, -1, 1, 2, 3], 2)
array([1, 0, 1, 1, 0, 1])

This example is valid syntax, but we were not able to check execution

>>> np.fmod([5, 3], [2, 2.])
array([ 1.,  1.])

This example is valid syntax, but we were not able to check execution

>>> a = np.arange(-3, 3).reshape(3, 2)
... a
array([[-3, -2],
       [-1,  0],
       [ 1,  2]])

This example is valid syntax, but we were not able to check execution

>>> np.fmod(a, [2,2])
array([[-1,  0],
       [-1,  0],
       [ 1,  0]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.remainder numpy.ma.core.fmod

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