nlcpy.atleast_3d
- nlcpy.atleast_3d(*arys)[ソース]
Views inputs as arrays with at least three dimensions.
- Parameters
- arys1, arys2, ...array_like
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.
- Returns
- res1, res2, ...ndarray
An array, or list of arrays, each with
ndim >= 3
. Copies are avoided where possible, and views with three or more dimensions are returned. For example, a 1-D array of shape(N,)
becomes a view of shape(1, N, 1)
, and a 2-D array of shape(M, N)
becomes a view of shape(M, N, 1)
.
参考
atleast_1d
Converts inputs to arrays with at least one dimension.
atleast_2d
Views inputs as arrays with at least two dimensions.
Examples
>>> import nlcpy as vp >>> vp.atleast_3d(3.0) array([[[3.]]])
>>> x = vp.arange(3.0) >>> vp.atleast_3d(x).shape (1, 3, 1)
>>> x = vp.arange(12.0).reshape(4,3) >>> vp.atleast_3d(x).shape (4, 3, 1) >>> vp.atleast_3d(x).base is x.base # x is a reshape, so not base itself True
>>> for arr in vp.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]): ... print(arr, arr.shape) ... [[[1] [2]]] (1, 2, 1) [[[1] [2]]] (1, 2, 1) [[[1 2]]] (1, 1, 2)