numpy.modf#

numpy.modf(x,[out1,out2,]/,[out=(None,None),]*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<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:

xarray_like

Input array.

outndarray, 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 or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

wherearray_like, optional

This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the defaultout=None, locations within it where the condition is False willremain uninitialized.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:

y1ndarray

Fractional part ofx.This is a scalar ifx is a scalar.

y2ndarray

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

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

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