Numeric supplies a type
array that represents a grid of items. An
a has a given number of dimensions, known as its rank, up to some arbitrarily high limit (normally
Numeric is built with default options). A scalar (i.e., a single number) has rank
0, a vector has rank
1, a matrix has rank
2, and so forth.
The values in the grid cells of an
array object, known as the elements of the array, are homogeneous, meaning they are all of the same type, and all element values are stored within one memory area. This contrasts with a list, where items may be of different types, each stored as a separate Python object. This means a
Numeric array occupies far less memory than a Python list with the same number of items. The type of
a’s elements is encoded as
a’s typecode, a one-character string, as shown in Table 16-2. Factory functions that build
array instances (covered in Factory Functions) take a
typecode argument that is one of the values in Table 16-2.
Table 16-2. Typecodes for Numeric arrays
Numeric supplies readable attribute names for each typecode, as shown in the last column of Table 16-2.
Numeric also supplies, ...