#### Attributes

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).