atleast_3d(*args, **kwargs)
The function is applied to both the _data and the _mask, if any.
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.
An array, or list of arrays, each with a.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)
.
View inputs as arrays with at least three dimensions.
>>> np.atleast_3d(3.0) array([[[3.]]])
>>> x = np.arange(3.0)
... np.atleast_3d(x).shape (1, 3, 1)
>>> x = np.arange(12.0).reshape(4,3)
... np.atleast_3d(x).shape (4, 3, 1)
>>> np.atleast_3d(x).base is x.base # x is a reshape, so not base itself True
>>> for arr in np.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]):See :
... print(arr, arr.shape) # doctest: +SKIP ... [[[1] [2]]] (1, 2, 1) [[[1] [2]]] (1, 2, 1) [[[1 2]]] (1, 1, 2)
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them