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6.1 Rank-0 Arrays

6.1 Rank-0 Arrays

numarray provides limited support for dimensionless arrays which represent single values, also known as rank-0 arrays. Rank-0 arrays are the array representation of a scalar value. They have the advantage over scalars that they include array specific type information, e.g. Int16. Rank-0 arrays can be created as follows:
>>> a = array(1); a
A rank-0 array has a 0-length or empty shape:
>>> a.shape
numarray's rank-0 array handling differs from that of Numeric in two ways. First, numarray's rank-0 arrays cannot be indexed by 0:
>>> array(1)[0]
Traceback (most recent call last):
IndexError: Too many indices
Second, numarray's rank-0 arrays do not have a length.
>>> len(array(1))
Traceback (most recent call last):
ValueError: Rank-0 array has no length.
Finally, numarray's rank-0 arrays can be converted to a Python scalar by subscripting with an empty tuple as follows:
>>> a = array(1)
>>> a[()]

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