MIDict is an ordered "dictionary" with multiple indices
where any index can serve as "keys" or "values",
capable of assessing multiple values via its powerful indexing syntax,
and suitable as a bidirectional/inverse dict (a drop-in replacement
for dict/OrderedDict in Python 2 & 3).
- Multiple indices
- Multi-value indexing syntax
- Convenient indexing shortcuts
- Bidirectional/inverse dict
- Compatible with normal dict in Python 2 & 3
- Accessing keys via attributes
- Extended methods for multi-indices
- Additional APIs to handle indices
- Duplicate keys/values handling
| name | uid | ip |
|---|---|---|
| jack | 1 | 192.1 |
| tony | 2 | 192.2 |
The above table-like data set (with multiple columns/indices) can be represented using a MIDict:
user = MIDict([['jack', 1, '192.1'], # list of items (rows of data)
['tony', 2, '192.2']],
['name', 'uid', 'ip']) # a list of index namesAccess a key and get a value or a list of values (similar to a normal dict):
user['jack'] == [1, '192.1']Any index (column) can be used as the "keys" or "values" via the advanced
"multi-indexing" syntax d[index_key:key, index_value].
Both index_key and index_value can be a normal index name
or an int (the order the index), and index_value can also be a
tuple, list or slice object to specify multiple values, e.g.:
user['name':'jack', 'uid'] == 1
user['ip':'192.1', 'name'] == 'jack'
user['name':'jack', ('uid', 'ip')] == [1, '192.1']
user[0:'jack', [1, 2]] == [1, '192.1']
user['name':'jack', 'uid':] == [1, '192.1']The "multi-indexing" syntax also has convenient shortcuts:
user['jack'] == [1, '192.1']
user[:'192.1'] == ['jack', 1]
user['jack', :] == ['jack', 1, '192.1']A MIDict with 2 indices can be used as a bidirectional/inverse dict:
color = MIDict(red='#FF0000', green='#00FF00')
color['red'] == '#FF0000' # forward indexing: d[key] -> value
color[:'#FF0000'] == 'red' # backward/inverse indexing: d[:value] -> keySee https://midict.readthedocs.io
pip install midict
PyPI repository: https://pypi.python.org/pypi/midict
Source code: https://github.com/ShenggaoZhu/midict
Report issues: https://github.com/ShenggaoZhu/midict/issues/new
python tests/tests.py
Tested with both Python 2.7 and Python 3,3, 3.4, 3.5.