1 \section{\module{array
} ---
2 Efficient arrays of numeric values
}
4 \declaremodule{builtin
}{array
}
5 \modulesynopsis{Efficient arrays of uniformly typed numeric values.
}
8 This module defines a new object type which can efficiently represent
9 an array of basic values: characters, integers, floating point
10 numbers. Arrays
\index{arrays
} are sequence types and behave very much
11 like lists, except that the type of objects stored in them is
12 constrained. The type is specified at object creation time by using a
13 \dfn{type code
}, which is a single character. The following type
16 \begin{tableiv
}{c|l|l|c
}{code
}{Type code
}{C Type
}{Python Type
}{Minimum size in bytes
}
17 \lineiv{'c'
}{char
} {character
} {1}
18 \lineiv{'b'
}{signed char
} {int
} {1}
19 \lineiv{'B'
}{unsigned char
} {int
} {1}
20 \lineiv{'h'
}{signed short
} {int
} {2}
21 \lineiv{'H'
}{unsigned short
}{int
} {2}
22 \lineiv{'i'
}{signed int
} {int
} {2}
23 \lineiv{'I'
}{unsigned int
} {long
} {2}
24 \lineiv{'l'
}{signed long
} {int
} {4}
25 \lineiv{'L'
}{unsigned long
} {long
} {4}
26 \lineiv{'f'
}{float
} {float
} {4}
27 \lineiv{'d'
}{double
} {float
} {8}
30 The actual representation of values is determined by the machine
31 architecture (strictly speaking, by the C implementation). The actual
32 size can be accessed through the
\member{itemsize
} attribute. The values
33 stored for
\code{'L'
} and
\code{'I'
} items will be represented as
34 Python long integers when retrieved, because Python's plain integer
35 type cannot represent the full range of C's unsigned (long) integers.
38 The module defines the following function and type object:
40 \begin{funcdesc
}{array
}{typecode
\optional{, initializer
}}
41 Return a new array whose items are restricted by
\var{typecode
}, and
42 initialized from the optional
\var{initializer
} value, which must be a
43 list or a string. The list or string is passed to the new array's
44 \method{fromlist()
} or
\method{fromstring()
} method (see below) to add
45 initial items to the array.
48 \begin{datadesc
}{ArrayType
}
49 Type object corresponding to the objects returned by
54 Array objects support the ordinary sequence operations of
55 indexing, slicing, concatenation, and multiplication. When using
56 slice assignment, the assigned value must be an array object with the
57 same type code; in all other cases,
\exception{TypeError
} is raised.
58 Array objects also implement the buffer interface, and may be used
59 wherever buffer objects are supported.
61 Array objects support the following data items and methods:
63 \begin{memberdesc
}[array
]{typecode
}
64 The typecode character used to create the array.
67 \begin{memberdesc
}[array
]{itemsize
}
68 The length in bytes of one array item in the internal representation.
72 \begin{methoddesc
}[array
]{append
}{x
}
73 Append a new item with value
\var{x
} to the end of the array.
76 \begin{methoddesc
}[array
]{buffer_info
}{}
77 Return a tuple
\code{(
\var{address
},
\var{length
})
} giving the current
78 memory address and the length in elements of the buffer used to hold
79 array's contents. The size of the memory buffer in bytes can be
80 computed as
\code{\var{array
}.buffer_info()
[1] *
81 \var{array
}.itemsize
}. This is occasionally useful when working with
82 low-level (and inherently unsafe) I/O interfaces that require memory
83 addresses, such as certain
\cfunction{ioctl()
} operations. The
84 returned numbers are valid as long as the array exists and no
85 length-changing operations are applied to it.
87 \note{When using array objects from code written in C or
88 \Cpp{} (the only way to effectively make use of this information), it
89 makes more sense to use the buffer interface supported by array
90 objects. This method is maintained for backward compatibility and
91 should be avoided in new code. The buffer interface is documented in
92 the
\citetitle[../api/newTypes.html
]{Python/C API Reference Manual
}.
}
95 \begin{methoddesc
}[array
]{byteswap
}{}
96 ``Byteswap'' all items of the array. This is only supported for
97 values which are
1,
2,
4, or
8 bytes in size; for other types of
98 values,
\exception{RuntimeError
} is raised. It is useful when reading
99 data from a file written on a machine with a different byte order.
102 \begin{methoddesc
}[array
]{count
}{x
}
103 Return the number of occurences of
\var{x
} in the array.
106 \begin{methoddesc
}[array
]{extend
}{a
}
107 Append array items from
\var{a
} to the end of the array. The two
108 arrays must have
\emph{exactly
} the same type code; if not,
109 \exception{TypeError
} will be raised.
112 \begin{methoddesc
}[array
]{fromfile
}{f, n
}
113 Read
\var{n
} items (as machine values) from the file object
\var{f
}
114 and append them to the end of the array. If less than
\var{n
} items
115 are available,
\exception{EOFError
} is raised, but the items that were
116 available are still inserted into the array.
\var{f
} must be a real
117 built-in file object; something else with a
\method{read()
} method won't
121 \begin{methoddesc
}[array
]{fromlist
}{list
}
122 Append items from the list. This is equivalent to
123 \samp{for x in
\var{list
}:\ a.append(x)
}
124 except that if there is a type error, the array is unchanged.
127 \begin{methoddesc
}[array
]{fromstring
}{s
}
128 Appends items from the string, interpreting the string as an
129 array of machine values (as if it had been read from a
130 file using the
\method{fromfile()
} method).
133 \begin{methoddesc
}[array
]{index
}{x
}
134 Return the smallest
\var{i
} such that
\var{i
} is the index of
135 the first occurence of
\var{x
} in the array.
138 \begin{methoddesc
}[array
]{insert
}{i, x
}
139 Insert a new item with value
\var{x
} in the array before position
143 \begin{methoddesc
}[array
]{pop
}{\optional{i
}}
144 Removes the item with the index
\var{i
} from the array and returns
145 it. The optional argument defaults to
\code{-
1}, so that by default
146 the last item is removed and returned.
149 \begin{methoddesc
}[array
]{read
}{f, n
}
151 {Use the
\method{fromfile()
} method.
}
152 Read
\var{n
} items (as machine values) from the file object
\var{f
}
153 and append them to the end of the array. If less than
\var{n
} items
154 are available,
\exception{EOFError
} is raised, but the items that were
155 available are still inserted into the array.
\var{f
} must be a real
156 built-in file object; something else with a
\method{read()
} method won't
160 \begin{methoddesc
}[array
]{remove
}{x
}
161 Remove the first occurence of
\var{x
} from the array.
164 \begin{methoddesc
}[array
]{reverse
}{}
165 Reverse the order of the items in the array.
168 \begin{methoddesc
}[array
]{tofile
}{f
}
169 Write all items (as machine values) to the file object
\var{f
}.
172 \begin{methoddesc
}[array
]{tolist
}{}
173 Convert the array to an ordinary list with the same items.
176 \begin{methoddesc
}[array
]{tostring
}{}
177 Convert the array to an array of machine values and return the
178 string representation (the same sequence of bytes that would
179 be written to a file by the
\method{tofile()
} method.)
182 \begin{methoddesc
}[array
]{write
}{f
}
184 {Use the
\method{tofile()
} method.
}
185 Write all items (as machine values) to the file object
\var{f
}.
188 When an array object is printed or converted to a string, it is
189 represented as
\code{array(
\var{typecode
},
\var{initializer
})
}. The
190 \var{initializer
} is omitted if the array is empty, otherwise it is a
191 string if the
\var{typecode
} is
\code{'c'
}, otherwise it is a list of
192 numbers. The string is guaranteed to be able to be converted back to
193 an array with the same type and value using reverse quotes
194 (
\code{``
}), so long as the
\function{array()
} function has been
195 imported using
\code{from array import array
}. Examples:
199 array('c', 'hello world')
200 array('l',
[1,
2,
3,
4,
5])
201 array('d',
[1.0,
2.0,
3.14])
206 \seemodule{struct
}{Packing and unpacking of heterogeneous binary data.
}
207 \seemodule{xdrlib
}{Packing and unpacking of External Data
208 Representation (XDR) data as used in some remote
209 procedure call systems.
}
210 \seetitle[http://numpy.sourceforge.net/numdoc/HTML/numdoc.htm
]{The
211 Numerical Python Manual
}{The Numeric Python extension
212 (NumPy) defines another array type; see
213 \url{http://numpy.sourceforge.net/
} for further information
214 about Numerical Python. (A PDF version of the NumPy manual
216 \url{http://numpy.sourceforge.net/numdoc/numdoc.pdf
}.
}