blob: ec4e86caa7ce0b0de7102b263e8dddf83613cec7 [file] [log] [blame]
Georg Brandlf6842722008-01-19 22:08:21 +00001.. highlightlang:: c
2
3.. _dictobjects:
4
5Dictionary Objects
6------------------
7
8.. index:: object: dictionary
9
10
11.. ctype:: PyDictObject
12
13 This subtype of :ctype:`PyObject` represents a Python dictionary object.
14
15
16.. cvar:: PyTypeObject PyDict_Type
17
18 .. index::
19 single: DictType (in module types)
20 single: DictionaryType (in module types)
21
22 This instance of :ctype:`PyTypeObject` represents the Python dictionary type.
23 This is exposed to Python programs as ``dict`` and ``types.DictType``.
24
25
26.. cfunction:: int PyDict_Check(PyObject *p)
27
28 Return true if *p* is a dict object or an instance of a subtype of the dict
29 type.
30
31 .. versionchanged:: 2.2
32 Allowed subtypes to be accepted.
33
34
35.. cfunction:: int PyDict_CheckExact(PyObject *p)
36
37 Return true if *p* is a dict object, but not an instance of a subtype of the
38 dict type.
39
40 .. versionadded:: 2.4
41
42
43.. cfunction:: PyObject* PyDict_New()
44
45 Return a new empty dictionary, or *NULL* on failure.
46
47
48.. cfunction:: PyObject* PyDictProxy_New(PyObject *dict)
49
50 Return a proxy object for a mapping which enforces read-only behavior. This is
51 normally used to create a proxy to prevent modification of the dictionary for
52 non-dynamic class types.
53
54 .. versionadded:: 2.2
55
56
57.. cfunction:: void PyDict_Clear(PyObject *p)
58
59 Empty an existing dictionary of all key-value pairs.
60
61
62.. cfunction:: int PyDict_Contains(PyObject *p, PyObject *key)
63
64 Determine if dictionary *p* contains *key*. If an item in *p* is matches *key*,
65 return ``1``, otherwise return ``0``. On error, return ``-1``. This is
66 equivalent to the Python expression ``key in p``.
67
68 .. versionadded:: 2.4
69
70
71.. cfunction:: PyObject* PyDict_Copy(PyObject *p)
72
73 Return a new dictionary that contains the same key-value pairs as *p*.
74
75 .. versionadded:: 1.6
76
77
78.. cfunction:: int PyDict_SetItem(PyObject *p, PyObject *key, PyObject *val)
79
80 Insert *value* into the dictionary *p* with a key of *key*. *key* must be
81 :term:`hashable`; if it isn't, :exc:`TypeError` will be raised. Return ``0``
82 on success or ``-1`` on failure.
83
84
85.. cfunction:: int PyDict_SetItemString(PyObject *p, const char *key, PyObject *val)
86
87 .. index:: single: PyString_FromString()
88
89 Insert *value* into the dictionary *p* using *key* as a key. *key* should be a
90 :ctype:`char\*`. The key object is created using ``PyString_FromString(key)``.
91 Return ``0`` on success or ``-1`` on failure.
92
93
94.. cfunction:: int PyDict_DelItem(PyObject *p, PyObject *key)
95
96 Remove the entry in dictionary *p* with key *key*. *key* must be hashable; if it
97 isn't, :exc:`TypeError` is raised. Return ``0`` on success or ``-1`` on
98 failure.
99
100
101.. cfunction:: int PyDict_DelItemString(PyObject *p, char *key)
102
103 Remove the entry in dictionary *p* which has a key specified by the string
104 *key*. Return ``0`` on success or ``-1`` on failure.
105
106
107.. cfunction:: PyObject* PyDict_GetItem(PyObject *p, PyObject *key)
108
109 Return the object from dictionary *p* which has a key *key*. Return *NULL* if
110 the key *key* is not present, but *without* setting an exception.
111
112
113.. cfunction:: PyObject* PyDict_GetItemString(PyObject *p, const char *key)
114
115 This is the same as :cfunc:`PyDict_GetItem`, but *key* is specified as a
116 :ctype:`char\*`, rather than a :ctype:`PyObject\*`.
117
118
119.. cfunction:: PyObject* PyDict_Items(PyObject *p)
120
121 Return a :ctype:`PyListObject` containing all the items from the dictionary, as
122 in the dictionary method :meth:`dict.items`.
123
124
125.. cfunction:: PyObject* PyDict_Keys(PyObject *p)
126
127 Return a :ctype:`PyListObject` containing all the keys from the dictionary, as
128 in the dictionary method :meth:`dict.keys`.
129
130
131.. cfunction:: PyObject* PyDict_Values(PyObject *p)
132
133 Return a :ctype:`PyListObject` containing all the values from the dictionary
134 *p*, as in the dictionary method :meth:`dict.values`.
135
136
137.. cfunction:: Py_ssize_t PyDict_Size(PyObject *p)
138
139 .. index:: builtin: len
140
141 Return the number of items in the dictionary. This is equivalent to ``len(p)``
142 on a dictionary.
143
144
145.. cfunction:: int PyDict_Next(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue)
146
147 Iterate over all key-value pairs in the dictionary *p*. The :ctype:`int`
148 referred to by *ppos* must be initialized to ``0`` prior to the first call to
149 this function to start the iteration; the function returns true for each pair in
150 the dictionary, and false once all pairs have been reported. The parameters
151 *pkey* and *pvalue* should either point to :ctype:`PyObject\*` variables that
152 will be filled in with each key and value, respectively, or may be *NULL*. Any
153 references returned through them are borrowed. *ppos* should not be altered
154 during iteration. Its value represents offsets within the internal dictionary
155 structure, and since the structure is sparse, the offsets are not consecutive.
156
157 For example::
158
159 PyObject *key, *value;
160 Py_ssize_t pos = 0;
161
162 while (PyDict_Next(self->dict, &pos, &key, &value)) {
163 /* do something interesting with the values... */
164 ...
165 }
166
167 The dictionary *p* should not be mutated during iteration. It is safe (since
168 Python 2.1) to modify the values of the keys as you iterate over the dictionary,
169 but only so long as the set of keys does not change. For example::
170
171 PyObject *key, *value;
172 Py_ssize_t pos = 0;
173
174 while (PyDict_Next(self->dict, &pos, &key, &value)) {
175 int i = PyInt_AS_LONG(value) + 1;
176 PyObject *o = PyInt_FromLong(i);
177 if (o == NULL)
178 return -1;
179 if (PyDict_SetItem(self->dict, key, o) < 0) {
180 Py_DECREF(o);
181 return -1;
182 }
183 Py_DECREF(o);
184 }
185
186
187.. cfunction:: int PyDict_Merge(PyObject *a, PyObject *b, int override)
188
189 Iterate over mapping object *b* adding key-value pairs to dictionary *a*. *b*
190 may be a dictionary, or any object supporting :func:`PyMapping_Keys` and
191 :func:`PyObject_GetItem`. If *override* is true, existing pairs in *a* will be
192 replaced if a matching key is found in *b*, otherwise pairs will only be added
193 if there is not a matching key in *a*. Return ``0`` on success or ``-1`` if an
194 exception was raised.
195
196 .. versionadded:: 2.2
197
198
199.. cfunction:: int PyDict_Update(PyObject *a, PyObject *b)
200
201 This is the same as ``PyDict_Merge(a, b, 1)`` in C, or ``a.update(b)`` in
202 Python. Return ``0`` on success or ``-1`` if an exception was raised.
203
204 .. versionadded:: 2.2
205
206
207.. cfunction:: int PyDict_MergeFromSeq2(PyObject *a, PyObject *seq2, int override)
208
209 Update or merge into dictionary *a*, from the key-value pairs in *seq2*. *seq2*
210 must be an iterable object producing iterable objects of length 2, viewed as
211 key-value pairs. In case of duplicate keys, the last wins if *override* is
212 true, else the first wins. Return ``0`` on success or ``-1`` if an exception was
213 raised. Equivalent Python (except for the return value)::
214
215 def PyDict_MergeFromSeq2(a, seq2, override):
216 for key, value in seq2:
217 if override or key not in a:
218 a[key] = value
219
220 .. versionadded:: 2.2