PyDict_Type
¶
此实例的
PyTypeObject
represents the Python dictionary type. This is exposed to Python programs as
dict
and
types.DictType
.
PyDict_Check
(
PyObject
*p
)
¶
返回 True 若 p is a dict object or an instance of a subtype of the dict type.
2.2 版改变: Allowed subtypes to be accepted.
PyDict_CheckExact
(
PyObject
*p
)
¶
返回 True 若 p is a dict object, but not an instance of a subtype of the dict type.
2.4 版新增。
PyDictProxy_New
(
PyObject
*dict
)
¶
Return a proxy object for a mapping which enforces read-only behavior. This is normally used to create a proxy to prevent modification of the dictionary for non-dynamic class types.
2.2 版新增。
PyDict_Contains
(
PyObject
*p
,
PyObject
*key
)
¶
Determine if dictionary
p
包含
key
. If an item in
p
is matches
key
,返回
1
,否则返回
0
. On error, return
-1
. This is equivalent to the Python expression
key in p
.
2.4 版新增。
PyDict_Copy
(
PyObject
*p
)
¶
Return a new dictionary that contains the same key-value pairs as p .
New in version 1.6.
PyDict_SetItem
(
PyObject
*p
,
PyObject
*key
,
PyObject
*val
)
¶
插入
value
into the dictionary
p
with a key of
key
.
key
必须为
hashable
; if it isn’t,
TypeError
will be raised. Return
0
当成功时或
-1
当故障时。
PyDict_SetItemString
(
PyObject
*p
, const char
*key
,
PyObject
*val
)
¶
插入
value
into the dictionary
p
使用
key
as a key.
key
应该为
char*
. The key object is created using
PyString_FromString(key)
。返回
0
当成功时或
-1
当故障时。
PyDict_DelItem
(
PyObject
*p
,
PyObject
*key
)
¶
Remove the entry in dictionary
p
采用键
key
.
key
must be hashable; if it isn’t,
TypeError
is raised. Return
0
当成功时或
-1
当故障时。
PyDict_DelItemString
(
PyObject
*p
, char
*key
)
¶
Remove the entry in dictionary
p
which has a key specified by the string
key
。返回
0
当成功时或
-1
当故障时。
PyDict_GetItem
(
PyObject
*p
,
PyObject
*key
)
¶
Return the object from dictionary p which has a key key 。返回 NULL if the key key is not present, but without setting an exception.
PyDict_GetItemString
(
PyObject
*p
, const char
*key
)
¶
这如同
PyDict_GetItem()
,但
key
is specified as a
char*
, rather than a
PyObject*
.
PyDict_Items
(
PyObject
*p
)
¶
返回
PyListObject
containing all the items from the dictionary, as in the dictionary method
dict.items()
.
PyDict_Keys
(
PyObject
*p
)
¶
返回
PyListObject
containing all the keys from the dictionary, as in the dictionary method
dict.keys()
.
PyDict_Values
(
PyObject
*p
)
¶
返回
PyListObject
containing all the values from the dictionary
p
, as in the dictionary method
dict.values()
.
PyDict_Size
(
PyObject
*p
)
¶
Return the number of items in the dictionary. This is equivalent to
len(p)
on a dictionary.
Changed in version 2.5:
This function returned an
int
type. This might require changes in your code for properly supporting 64-bit systems.
PyDict_Next
(
PyObject
*p
, Py_ssize_t
*ppos
,
PyObject
**pkey
,
PyObject
**pvalue
)
¶
Iterate over all key-value pairs in the dictionary
p
。
Py_ssize_t
referred to by
ppos
must be initialized to
0
prior to the first call to this function to start the iteration; the function returns true for each pair in the dictionary, and false once all pairs have been reported. The parameters
pkey
and
pvalue
should either point to
PyObject*
variables that will be filled in with each key and value, respectively, or may be
NULL
. Any references returned through them are borrowed.
ppos
should not be altered during iteration. Its value represents offsets within the internal dictionary structure, and since the structure is sparse, the offsets are not consecutive.
例如:
PyObject *key, *value; Py_ssize_t pos = 0; while (PyDict_Next(self->dict, &pos, &key, &value)) { /* do something interesting with the values... */ ... }
The dictionary p should not be mutated during iteration. It is safe (since Python 2.1) to modify the values of the keys as you iterate over the dictionary, but only so long as the set of keys does not change. For example:
PyObject *key, *value; Py_ssize_t pos = 0; while (PyDict_Next(self->dict, &pos, &key, &value)) { int i = PyInt_AS_LONG(value) + 1; PyObject *o = PyInt_FromLong(i); if (o == NULL) return -1; if (PyDict_SetItem(self->dict, key, o) < 0) { Py_DECREF(o); return -1; } Py_DECREF(o); }
Changed in version 2.5:
This function used an
int *
type for
ppos
. This might require changes in your code for properly supporting 64-bit systems.
PyDict_Merge
(
PyObject
*a
,
PyObject
*b
, int
override
)
¶
Iterate over mapping object
b
adding key-value pairs to dictionary
a
.
b
may be a dictionary, or any object supporting
PyMapping_Keys()
and
PyObject_GetItem()
。若
override
is true, existing pairs in
a
will be replaced if a matching key is found in
b
, otherwise pairs will only be added if there is not a matching key in
a
。返回
0
当成功时或
-1
if an exception was raised.
2.2 版新增。
PyDict_Update
(
PyObject
*a
,
PyObject
*b
)
¶
这如同
PyDict_Merge(a, b, 1)
in C, and is similar to
a.update(b)
in Python except that
PyDict_Update()
doesn’t fall back to the iterating over a sequence of key value pairs if the second argument has no “keys” attribute. Return
0
当成功时或
-1
if an exception was raised.
2.2 版新增。
PyDict_MergeFromSeq2
(
PyObject
*a
,
PyObject
*seq2
, int
override
)
¶
Update or merge into dictionary
a
, from the key-value pairs in
seq2
.
seq2
must be an iterable object producing iterable objects of length 2, viewed as key-value pairs. In case of duplicate keys, the last wins if
override
is true, else the first wins. Return
0
当成功时或
-1
if an exception was raised. Equivalent Python (except for the return value):
def PyDict_MergeFromSeq2(a, seq2, override): for key, value in seq2: if override or key not in a: a[key] = value
2.2 版新增。