Attributes come with any numpy.ndarray. Among others we can mention:
- The .shape built-in attribute: is a Python tuple storing the dimensions
of the input array.
- The .dtype built-in attribute: a numpy.ndarray brings its datatype in a special
object called dtype, which can be retrieved with the .dtype
attribute. Default type is dtype('<i4') (standard integer) for
integers, and '<f8' (double precision) for floats. We will import
different kind of numbers from SIC (different memory size allocated per
element), so the dtypes will be one of '<f8' (double precision
float), '<f4' (single precision float), '<i4' (integers), or '|S1' (single characters).
- The .itemsize built-in attribute: is the size allocated in memory (in
bytes) for each array element (see dtypes above).
