nlcpy.atleast_1d
- nlcpy.atleast_1d(*arys)[source]
- Converts inputs to arrays with at least one dimension. - Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inputs are preserved. - Parameters
- arys1, arys2, …array_like
- One or more input arrays. 
 
- Returns
- retndarrays
- An array, or list of arrays, each with - ndim >= 1. Copies are made only if necessary.
 
 - See also - atleast_2d
- Views inputs as arrays with at least two dimensions. 
- atleast_3d
- Views inputs as arrays with at least three dimensions. 
 - Examples - >>> import nlcpy as vp >>> vp.atleast_1d(1.0) array([1.]) - >>> x = vp.arange(9.0).reshape(3,3) >>> vp.atleast_1d(x) array([[0., 1., 2.], [3., 4., 5.], [6., 7., 8.]]) >>> vp.atleast_1d(x) is x True - >>> vp.atleast_1d(1, [3, 4]) [array([1]), array([3, 4])]