numpy.ceil
-
numpy.ceil(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'ceil'>
-
Return the ceiling of the input, element-wise.
The ceil of the scalar
x
is the smallest integeri
, such thati >= x
. It is often denoted as.
- Parameters
-
-
xarray_like
-
Input data.
-
outndarray, 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.
-
wherearray_like, 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, 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 will remain uninitialized. - **kwargs
-
For other keyword-only arguments, see the ufunc docs.
-
- Returns
-
-
yndarray or scalar
-
The ceiling of each element in
x
, withfloat
dtype. This is a scalar ifx
is a scalar.
-
Examples
>>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.ceil(a) array([-1., -1., -0., 1., 2., 2., 2.])
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.18/reference/generated/numpy.ceil.html