jax.numpy.modf¶
-
jax.numpy.
modf
(x, out=None)[source]¶ Return the fractional and integral parts of an array, element-wise.
LAX-backend implementation of
modf()
. Original docstring below.modf(x[, out1, out2], / [, out=(None, None)], *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
The fractional and integral parts are negative if the given number is negative.
- Parameters
x (array_like) – Input array.
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.
- Returns
y1 (ndarray) – Fractional part of x. This is a scalar if x is a scalar.
y2 (ndarray) – Integral part of x. This is a scalar if x is a scalar.
Notes
For integer input the return values are floats.
See also
divmod()
divmod(x, 1)
is equivalent tomodf
with the return values switched, except it always has a positive remainder.
Examples
>>> np.modf([0, 3.5]) (array([ 0. , 0.5]), array([ 0., 3.])) >>> np.modf(-0.5) (-0.5, -0)