numpy.ma.atleast_2d()

numpy.ma.atleast_2d(*arys) =

View inputs as arrays with at least two dimensions.

Parameters:

Parameters:	arys1, arys2, ... : array_like One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
Returns:	res, res2, ... : ndarray An array, or tuple of arrays, each with `a.ndim >= 2`. Copies are avoided where possible, and views with two or more dimensions are returned.

arys1, arys2, ... : array_like

One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.

Returns:

res, res2, ... : ndarray

An array, or tuple of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.

The function is applied to both the _data and the _mask, if any.

>>> np.atleast_2d(3.0)
array([[ 3.]])

>>> x = np.arange(3.0)
>>> np.atleast_2d(x)
array([[ 0.,  1.,  2.]])
>>> np.atleast_2d(x).base is x
True

>>> np.atleast_2d(1, [1, 2], [[1, 2]])
[array([[1]]), array([[1, 2]]), array([[1, 2]])]

Links:

doc_NumPy

2017-01-10 18:15:04

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