Skip to main content

An easy to use and easy to read dict

Project description

AttribDict

Introduction

AttribDict is an easy to use and easy to read dict, it is more flexible and human readable.

Examples

>>> from attribdict import AttribDict as Dict
>>> _d = {"attr"+str(i): i for i in range(4)}
>>> d = Dict(_d) # create a AttribDict instance from a dict
>>> print(d)
attr0: 0
attr1: 1
attr2: 2
attr3: 3

You can also recursively create an attribute from other data type including dict:

# continue to previous code
>>> d.attr4.subattr1.subsubattr1 = {1, 2, 4} # recursively create attribute
>>> d.attr5.subattr1 = {"subsubattr"+str(i): i for i in range(3)} # recursively create from a dict
>>> print(d)
attr0: 0
attr1: 1
attr2: 2
attr3: 3
attr4:
    - subattr1:
        - subsubattr1: {1, 2, 4}
attr5:
    - subattr1:
        - subsubattr0: 0
        - subsubattr1: 1
        - subsubattr2: 2

Additionally, AttribDict also support create attributes from a recursively dict:

# continue to previous code
>>> _d = {"_attr1": {"_subattr1": {"_subsubattr1": "hello attribdict"}}} # create attributes from a recursively dict
>>> d._attr = _d
>>> print(d)
attr0: 0
attr1: 1
attr2: 2
attr3: 3
attr4:
    - subattr1:
        - subsubattr1: {1, 2, 4}
attr5:
    - subattr1:
        - subsubattr0: 0
        - subsubattr1: 1
        - subsubattr2: 2
_attr:
    - _attr1:
        - _subattr1:
            - _subsubattr1: hello attribdict

If you want to convert an AttribDict instance into a python dict, just use .as_dict method:

# continue to previous code
>>> _dict = d.as_dict()
>>> print(_dict)
{'attr0': 0, 'attr1': 1, 'attr2': 2, 'attr3': 3, 'attr4': {'subattr1': {'subsubattr1': {1, 2, 4}}}, 'attr5': {'subattr1': {'subsubattr0': 0, 'subsubattr1': 1, 'subsubattr2': 2}}, '_attr': {'_attr1': {'_subattr1': {'_subsubattr1': 'hello attribdict'}}}}

You can also access value in traditional dict way, for example:

>>> print(d["_attr"].as_dict())
{'_attr1': {'_subattr1': {'_subsubattr1': 'hello attribdict'}}}

Please feel free if you want to access value in following style:

>>> print(d._attr["_attr1"]._subattr1["_subsubattr1"])
hello attribdict

AttribDict instance is iterable, thus you can use for statement and so on to iteratively visit the attributes and corresponding values. Note that it will return (attribute, value) pair, sub-AttribDict will be converted to a python dict for more convenient use:

# continue to previous code
>>> for key, value in d:
...     print("key: ", key)
...     print("value: ", value)
...
key:  attr0
value:  0
key:  attr1
value:  1
key:  attr2
value:  2
key:  attr3
value:  3
key:  attr4
value:  {'subattr1': {'subsubattr1': {1, 2, 4}}}
key:  attr5
value:  {'subattr1': {'subsubattr0': 0, 'subsubattr1': 1, 'subsubattr2': 2}}
key:  _attr
value:  {'_attr1': {'_subattr1': {'_subsubattr1': 'hello attribdict'}}}

Here is another example about iterable, the rest code is omitted:

>>> it = iter(d)
>>> next(it)
('attr0', 0)
>>> next(it)
('attr1', 1)
>>> next(it)
('attr2', 2) 

AttribDict offers two ways to copy and deepcopy an instance:

>>> import copy
>>> d_copy = d.copy()
>>> print(d._attr is d_copy._attr)
True
>>> copy_d = copy.copy(d)
>>> print(d._attr is copy_d._attr)
>>> True
>>> d_deepcopy = d.deepcopy()
>>> print(d._attr is d_deepcopy._attr)
False
>>> print(d.attr4.subattr1.subsubattr1 is d_deepcopy.attr4.subattr1.subsubattr1)
False
>>> deepcopy_d = copy.deepcopy(d)
>>> print(d._attr is deepcopy_d._attr)
>>> False
>>> print(d.attr4.subattr1.subsubattr1 is deepcopy_d.attr4.subattr1.subsubattr1)
False

If you want to check whether an object contains attribute attrX, please use obj.hasattr("attrX") but hasattr(obj, "attrX") as the latter one will create a new AttribDict instance named attrX.

>>> d.hasattr("attrX")
False
>>> hasattr(d, "attrX")
True

Pickling AttribDict instance.

>>> import pickle
>>> with open("path2file", "wb") as fp:
>>> ... pickle.dump(d, fp)
>>> ...
>>> with open("path2file", "rb") as fp:
>>> ... loaded_d = pickle.load(fp)
>>> ...
>>> loaded_d == d
True
>>> loaded_d is d
False

Installation

You can install AttribDict by pip.

pip install attribdict

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

attribdict-0.0.5.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

attribdict-0.0.5-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file attribdict-0.0.5.tar.gz.

File metadata

  • Download URL: attribdict-0.0.5.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/50.3.2.post20201201 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

File hashes

Hashes for attribdict-0.0.5.tar.gz
Algorithm Hash digest
SHA256 eee26d936a66907cd2e2cc2d42505c889174eeac79a7539356e5a25cc9fa6178
MD5 b3195e933519250b8304c819f61f0aab
BLAKE2b-256 fecd61104e1ea717d1fc20200f8022da35dc025a2f1a543cef367539f9c8b5a3

See more details on using hashes here.

File details

Details for the file attribdict-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: attribdict-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/50.3.2.post20201201 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

File hashes

Hashes for attribdict-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 7d7562b5783df40529bc9eb7d5178e4ad816855e60ef1c0263e5af61a622a28c
MD5 0edf04e2508eb23a0d82a94184ddf3d2
BLAKE2b-256 fac41a8fc63b5ea6b50fd672c7c49c7489136b2e5af6c2ea41827487b9956755

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page