numpy.ma.atleast_1d¶
- numpy.ma.atleast_1d(*arys) = <numpy.ma.extras._fromnxfunction instance at 0x52b62f0c>¶
Convert 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: ret : ndarray
An array, or sequence of arrays, each with a.ndim >= 1. Copies are made only if necessary.
Notes
The function is applied to both the _data and the _mask, if any.
Examples
>>> np.atleast_1d(1.0) array([ 1.])
>>> x = np.arange(9.0).reshape(3,3) >>> np.atleast_1d(x) array([[ 0., 1., 2.], [ 3., 4., 5.], [ 6., 7., 8.]]) >>> np.atleast_1d(x) is x True
>>> np.atleast_1d(1, [3, 4]) [array([1]), array([3, 4])]