trunc(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Some inconsistencies with the Dask version may exist.

Return the truncated value of the input, element-wise.

The truncated value of the scalar x is the nearest integer :None:None:`i` which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.

Notes

Parameters

x : array_like

Input data.

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.

where : array_like, optional

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`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 <ufuncs.kwargs> .

Returns

y : ndarray or scalar

The truncated value of each element in x. This is a scalar if x is a scalar.

This docstring was copied from numpy.trunc.

See Also

ceil

fix

floor

rint

Examples

This example is valid syntax, but we were not able to check execution

>>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])  # doctest: +SKIP
... np.trunc(a)  # doctest: +SKIP
array([-1., -1., -0.,  0.,  1.,  1.,  2.])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ufunc.ceil dask.array.ufunc.rint dask.array.routines.around dask.array.ufunc.floor

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