numpy.modf(x, [out1, out2, ]/, [out=(None, None), ]*, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'modf'>
Return the fractional and integral parts of an array, element-wise.
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 where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs. |
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Returns: |
y1 : ndarray Fractional part of y2 : ndarray Integral part of |
See also
divmod
divmod(x, 1)
is equivalent to modf
with the return values switched, except it always has a positive remainder.For integer input the return values are floats.
>>> np.modf([0, 3.5]) (array([ 0. , 0.5]), array([ 0., 3.])) >>> np.modf(-0.5) (-0.5, -0)
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.modf.html