xarray.ufuncs.remainder#
- xarray.ufuncs.remainder = <xarray.ufuncs._binary_ufunc object>#
xarray specific variant of
numpy.remainder()
. Handles xarray objects by dispatching to the appropriate function for the underlying array type.Documentation from numpy:
Returns the element-wise remainder of division.
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 x2. The MATLAB function equivalent tonp.remainder
ismod
.Warning
This should not be confused with:
Python 3.7’s math.remainder and C’s
remainder
, which computes the IEEE remainder, which are the complement toround(x1 / x2)
.The MATLAB
rem
function and or the C%
operator which is the complement toint(x1 / x2)
.
- Parameters
x1 (array_like) – Dividend array.
x2 (array_like) – Divisor array. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).out (
ndarray
,None
, ortuple
ofndarray
andNone
, 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 out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized 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.
- Returns
y (
ndarray
) – The element-wise remainder of the quotientfloor_divide(x1, x2)
. This is a scalar if both x1 and x2 are scalars.
See also
floor_divide
Equivalent of Python
//
operator.divmod
Simultaneous floor division and remainder.
fmod
Equivalent of the MATLAB
rem
function.
Notes
Returns 0 when x2 is 0 and both x1 and x2 are (arrays of) integers.
mod
is an alias ofremainder
.Examples
>>> np.remainder([4, 7], [2, 3]) array([0, 1]) >>> np.remainder(np.arange(7), 5) array([0, 1, 2, 3, 4, 0, 1])
The
%
operator can be used as a shorthand fornp.remainder
on ndarrays.>>> x1 = np.arange(7) >>> x1 % 5 array([0, 1, 2, 3, 4, 0, 1])