NumPy: atleast_2d() function
numpy.atleast_2d() function
The numpy.atleast_2d() is used to view given inputs as arrays with at least two dimensions.
Syntax:
numpy.atleast_2d(*arys)
Version: 1.15.0
Parameter:
Name | Description | Required / Optional |
---|---|---|
arys1, arys2, . . . | One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved. | Required |
Return value:
res, res2, . . . [ndarray]
An array, or list of arrays, each with a.ndim >= 2. Copies are
avoided where possible, and views with two or more dimensions are returned.
Example-1: numpy.atleast_2d()
>>> import numpy as np
>>> np.atleast_2d(5.0)
array([[ 5.]])
Pictorial Presentation:
Example-2: numpy.atleast_2d()
>>> import numpy as np
>>> a = np.arange(4.0)
>>> np.atleast_2d(a)
array([[ 0., 1., 2., 3.]])
Pictorial Presentation:
Example-3: numpy.atleast_2d()
>>> import numpy as np
>>> a = np.arange(4.0)
>>> np.atleast_2d(a).base is a
True
>>> np.atleast_2d(1, [1,2], [[2,3]])
[array([[1]]), array([[1, 2]]), array([[2, 3]])]
Python - NumPy Code Editor:
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