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Georg Brandl116aa622007-08-15 14:28:22 +00001
2:mod:`array` --- Efficient arrays of numeric values
3===================================================
4
5.. module:: array
Benjamin Peterson2a691a82008-03-31 01:51:45 +00006 :synopsis: Space efficient arrays of uniformly typed numeric values.
Georg Brandl116aa622007-08-15 14:28:22 +00007
8
9.. index:: single: arrays
10
Benjamin Peterson2a691a82008-03-31 01:51:45 +000011This module defines an object type which can compactly represent an array of
Georg Brandl116aa622007-08-15 14:28:22 +000012basic values: characters, integers, floating point numbers. Arrays are sequence
13types and behave very much like lists, except that the type of objects stored in
14them is constrained. The type is specified at object creation time by using a
15:dfn:`type code`, which is a single character. The following type codes are
16defined:
17
18+-----------+----------------+-------------------+-----------------------+
19| Type code | C Type | Python Type | Minimum size in bytes |
20+===========+================+===================+=======================+
Georg Brandl116aa622007-08-15 14:28:22 +000021| ``'b'`` | signed char | int | 1 |
22+-----------+----------------+-------------------+-----------------------+
23| ``'B'`` | unsigned char | int | 1 |
24+-----------+----------------+-------------------+-----------------------+
25| ``'u'`` | Py_UNICODE | Unicode character | 2 |
26+-----------+----------------+-------------------+-----------------------+
27| ``'h'`` | signed short | int | 2 |
28+-----------+----------------+-------------------+-----------------------+
29| ``'H'`` | unsigned short | int | 2 |
30+-----------+----------------+-------------------+-----------------------+
31| ``'i'`` | signed int | int | 2 |
32+-----------+----------------+-------------------+-----------------------+
Georg Brandl5c106642007-11-29 17:41:05 +000033| ``'I'`` | unsigned int | int | 2 |
Georg Brandl116aa622007-08-15 14:28:22 +000034+-----------+----------------+-------------------+-----------------------+
35| ``'l'`` | signed long | int | 4 |
36+-----------+----------------+-------------------+-----------------------+
Georg Brandl5c106642007-11-29 17:41:05 +000037| ``'L'`` | unsigned long | int | 4 |
Georg Brandl116aa622007-08-15 14:28:22 +000038+-----------+----------------+-------------------+-----------------------+
39| ``'f'`` | float | float | 4 |
40+-----------+----------------+-------------------+-----------------------+
41| ``'d'`` | double | float | 8 |
42+-----------+----------------+-------------------+-----------------------+
43
44The actual representation of values is determined by the machine architecture
45(strictly speaking, by the C implementation). The actual size can be accessed
Georg Brandlba956ae2007-11-29 17:24:34 +000046through the :attr:`itemsize` attribute.
Georg Brandl116aa622007-08-15 14:28:22 +000047
48The module defines the following type:
49
50
51.. function:: array(typecode[, initializer])
52
53 Return a new array whose items are restricted by *typecode*, and initialized
Guido van Rossum98297ee2007-11-06 21:34:58 +000054 from the optional *initializer* value, which must be a list, object
55 supporting the buffer interface, or iterable over elements of the
56 appropriate type.
Georg Brandl116aa622007-08-15 14:28:22 +000057
Georg Brandl116aa622007-08-15 14:28:22 +000058 If given a list or string, the initializer is passed to the new array's
59 :meth:`fromlist`, :meth:`fromstring`, or :meth:`fromunicode` method (see below)
60 to add initial items to the array. Otherwise, the iterable initializer is
61 passed to the :meth:`extend` method.
62
63
64.. data:: ArrayType
65
66 Obsolete alias for :func:`array`.
67
Guido van Rossum98297ee2007-11-06 21:34:58 +000068.. data:: typecodes
69
70 A string with all available type codes.
71
Georg Brandl116aa622007-08-15 14:28:22 +000072Array objects support the ordinary sequence operations of indexing, slicing,
73concatenation, and multiplication. When using slice assignment, the assigned
74value must be an array object with the same type code; in all other cases,
75:exc:`TypeError` is raised. Array objects also implement the buffer interface,
76and may be used wherever buffer objects are supported.
77
78The following data items and methods are also supported:
79
80
81.. attribute:: array.typecode
82
83 The typecode character used to create the array.
84
85
86.. attribute:: array.itemsize
87
88 The length in bytes of one array item in the internal representation.
89
90
91.. method:: array.append(x)
92
93 Append a new item with value *x* to the end of the array.
94
95
96.. method:: array.buffer_info()
97
98 Return a tuple ``(address, length)`` giving the current memory address and the
99 length in elements of the buffer used to hold array's contents. The size of the
100 memory buffer in bytes can be computed as ``array.buffer_info()[1] *
101 array.itemsize``. This is occasionally useful when working with low-level (and
102 inherently unsafe) I/O interfaces that require memory addresses, such as certain
103 :cfunc:`ioctl` operations. The returned numbers are valid as long as the array
104 exists and no length-changing operations are applied to it.
105
106 .. note::
107
108 When using array objects from code written in C or C++ (the only way to
109 effectively make use of this information), it makes more sense to use the buffer
110 interface supported by array objects. This method is maintained for backward
111 compatibility and should be avoided in new code. The buffer interface is
112 documented in :ref:`bufferobjects`.
113
114
115.. method:: array.byteswap()
116
117 "Byteswap" all items of the array. This is only supported for values which are
118 1, 2, 4, or 8 bytes in size; for other types of values, :exc:`RuntimeError` is
119 raised. It is useful when reading data from a file written on a machine with a
120 different byte order.
121
122
123.. method:: array.count(x)
124
125 Return the number of occurrences of *x* in the array.
126
127
128.. method:: array.extend(iterable)
129
130 Append items from *iterable* to the end of the array. If *iterable* is another
131 array, it must have *exactly* the same type code; if not, :exc:`TypeError` will
132 be raised. If *iterable* is not an array, it must be iterable and its elements
133 must be the right type to be appended to the array.
134
Georg Brandl116aa622007-08-15 14:28:22 +0000135
136.. method:: array.fromfile(f, n)
137
138 Read *n* items (as machine values) from the file object *f* and append them to
139 the end of the array. If less than *n* items are available, :exc:`EOFError` is
140 raised, but the items that were available are still inserted into the array.
141 *f* must be a real built-in file object; something else with a :meth:`read`
142 method won't do.
143
144
145.. method:: array.fromlist(list)
146
147 Append items from the list. This is equivalent to ``for x in list:
148 a.append(x)`` except that if there is a type error, the array is unchanged.
149
150
151.. method:: array.fromstring(s)
152
153 Appends items from the string, interpreting the string as an array of machine
154 values (as if it had been read from a file using the :meth:`fromfile` method).
155
156
157.. method:: array.fromunicode(s)
158
159 Extends this array with data from the given unicode string. The array must
160 be a type ``'u'`` array; otherwise a :exc:`ValueError` is raised. Use
161 ``array.fromstring(unicodestring.encode(enc))`` to append Unicode data to an
162 array of some other type.
163
164
165.. method:: array.index(x)
166
167 Return the smallest *i* such that *i* is the index of the first occurrence of
168 *x* in the array.
169
170
171.. method:: array.insert(i, x)
172
173 Insert a new item with value *x* in the array before position *i*. Negative
174 values are treated as being relative to the end of the array.
175
176
177.. method:: array.pop([i])
178
179 Removes the item with the index *i* from the array and returns it. The optional
180 argument defaults to ``-1``, so that by default the last item is removed and
181 returned.
182
183
Georg Brandl116aa622007-08-15 14:28:22 +0000184.. method:: array.remove(x)
185
186 Remove the first occurrence of *x* from the array.
187
188
189.. method:: array.reverse()
190
191 Reverse the order of the items in the array.
192
193
194.. method:: array.tofile(f)
195
196 Write all items (as machine values) to the file object *f*.
197
198
199.. method:: array.tolist()
200
201 Convert the array to an ordinary list with the same items.
202
203
204.. method:: array.tostring()
205
206 Convert the array to an array of machine values and return the string
207 representation (the same sequence of bytes that would be written to a file by
208 the :meth:`tofile` method.)
209
210
211.. method:: array.tounicode()
212
213 Convert the array to a unicode string. The array must be a type ``'u'`` array;
214 otherwise a :exc:`ValueError` is raised. Use ``array.tostring().decode(enc)`` to
215 obtain a unicode string from an array of some other type.
216
217
Georg Brandl116aa622007-08-15 14:28:22 +0000218When an array object is printed or converted to a string, it is represented as
219``array(typecode, initializer)``. The *initializer* is omitted if the array is
Georg Brandld2aa7e62008-12-06 08:12:11 +0000220empty, otherwise it is a string if the *typecode* is ``'u'``, otherwise it is a
Georg Brandl116aa622007-08-15 14:28:22 +0000221list of numbers. The string is guaranteed to be able to be converted back to an
222array with the same type and value using :func:`eval`, so long as the
223:func:`array` function has been imported using ``from array import array``.
224Examples::
225
226 array('l')
Georg Brandld2aa7e62008-12-06 08:12:11 +0000227 array('u', 'hello \u2641')
Georg Brandl116aa622007-08-15 14:28:22 +0000228 array('l', [1, 2, 3, 4, 5])
229 array('d', [1.0, 2.0, 3.14])
230
231
232.. seealso::
233
234 Module :mod:`struct`
235 Packing and unpacking of heterogeneous binary data.
236
237 Module :mod:`xdrlib`
238 Packing and unpacking of External Data Representation (XDR) data as used in some
239 remote procedure call systems.
240
241 `The Numerical Python Manual <http://numpy.sourceforge.net/numdoc/HTML/numdoc.htm>`_
242 The Numeric Python extension (NumPy) defines another array type; see
243 http://numpy.sourceforge.net/ for further information about Numerical Python.
244 (A PDF version of the NumPy manual is available at
245 http://numpy.sourceforge.net/numdoc/numdoc.pdf).
246