numpy.modf¶

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 isnegative.

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 havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs. where:array_like, optional Values of True indicate to calculate the ufunc at that position, valuesof False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

Returns:

y1:ndarray Fractional part ofx.This is a scalar ifx is a scalar. y2:ndarray Integral part ofx.This is a scalar ifx is a scalar.

See also

divmod

divmod(x,1) is equivalent tomodf with the return values switched, except it always has a positive remainder.

Notes

For integer input the return values are floats.

Examples

>>>np.modf([0,3.5])(array([ 0. ,  0.5]), array([ 0.,  3.]))>>>np.modf(-0.5)(-0.5, -0)