nums.numpy.ceil

nums.numpy.ceil(x, out=None, where=True, **kwargs)

Return the ceiling of the input, element-wise.

This docstring was copied from numpy.ceil.

Some inconsistencies with the NumS version may exist.

The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as :math:`lceil x

ceil`.

xBlockArray

Input data.

outBlockArray, None, or 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.

whereBlockArray, optional

This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized 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.

yBlockArray or scalar

The ceiling of each element in x, with float dtype.

floor, trunc, rint

The doctests shown below are copied from NumPy. They won’t show the correct result until you operate get().

>>> a = nps.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])  
>>> nps.ceil(a).get()  
array([-1., -1., -0.,  1.,  2.,  2.,  2.])

Return type

BlockArray