remainder(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Computes the remainder complementary to the floor_divide
function. It is equivalent to the Python modulus operator``x1 % x2`` and has the same sign as the divisor :None:None:`x2`. The MATLAB function equivalent to np.remainder
is mod
.
This should not be confused with:
Python 3.7's :None:None:`math.remainder` and C's remainder
, which computes the IEEE remainder, which are the complement to round(x1 / x2)
.
The MATLAB rem
function and or the C %
operator which is the complement to int(x1 / x2)
.
Returns 0 when :None:None:`x2` is 0 and both x1
and :None:None:`x2` are (arrays of) integers. mod
is an alias of remainder
.
Dividend array.
Divisor array. If x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).
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.
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.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
The element-wise remainder of the quotient floor_divide(x1, x2)
. This is a scalar if both x1
and :None:None:`x2` are scalars.
Returns the element-wise remainder of division.
divmod
Simultaneous floor division and remainder.
floor_divide
Equivalent of Python //
operator.
fmod
Equivalent of the MATLAB rem
function.
>>> np.remainder([4, 7], [2, 3]) array([0, 1])This example is valid syntax, but we were not able to check execution
>>> np.remainder(np.arange(7), 5) array([0, 1, 2, 3, 4, 0, 1])
The %
operator can be used as a shorthand for np.remainder
on ndarrays.
>>> x1 = np.arange(7)See :
... x1 % 5 array([0, 1, 2, 3, 4, 0, 1])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.floor_divide
numpy.ma.core.fmod
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