Skip to main content

More Dots! Dot-access to Python dicts like Javascript

Project description

More Dots!

PyPI Latest Release Build Status Coverage Status Downloads

Changes in version 9.x.x

Escaping a literal dot (.) is no longer (\\.) rather double-dot (..). Escaping a literal dot can still be done with bell (\b)

Changes in version 5.x.x

The Data() constructor only accepts keyword parameters. It no longer accepts a dict, nor does it attempt to clean the input. Replace Data(my_var) with to_data(my_var)

Overview

This library defines a Data class that can serve as a replacement for dict, with additional features.

>>> from mo_dots import to_data, Data

See the full documentation for all the features of mo-dots

Create instances

Define Data using named parameters, just like you would a dict

>>> Data(b=42, c="hello world")
Data({'b': 42, 'c': 'hello world'})

You can also wrap existing dicts so they can be used like Data

>>> to_data({'b': 42, 'c': 'hello world'})
Data({'b': 42, 'c': 'hello world'})

Dot Access

Access properties with attribute dots: a.b == a["b"]. You have probably seen this before.

Path Access

Access properties by dot-delimited path.

>>> a = to_data({"b": {"c": 42}})
>>> a["b.c"] == 42
True

Safe Access

If a property does not exist then return Null rather than raising an error.

>>> a = Data()
a == {}
>>> a.b == None
True
>>> a.b.c == None
True
>>> a[None] == None
True

Path assignment

No need to make intermediate dicts

>>> a = Data()
a == {}
>>> a["b.c"] = 42   # same as a.b.c = 42
a == {"b": {"c": 42}}

Path accumulation

Use += to add to a property; default zero (0)

>>> a = Data()
a == {}
>>> a.b.c += 1
a == {"b": {"c": 1}}
>>> a.b.c += 42
a == {"b": {"c": 43}}

Use += with a list ([]) to append to a list; default empty list ([])

>>> a = Data()
a == {}
>>> a.b.c += [1]
a == {"b": {"c": [1]}}
>>> a.b.c += [42]
a == {"b": {"c": [1, 42]}}

Serializing to JSON

The standard Python JSON library does not recognize Data as serializable. You may overcome this by providing default=from_data; which converts the data structures in this module into Python primitives of the same.

from mo_dots import from_data, to_data

s = to_data({"a": ["b", 1]})
result = json.dumps(s, default=from_data)  

Alternatively, you may consider mo-json which has a function value2json that converts a larger number of data structures into JSON.

Summary

This library is the basis for a data transformation algebra: We want a succinct way of transforming data in Python. We want operations on data to result in yet more data. We do not want data operations to raise exceptions. This library is solves Python's lack of consistency (lack of closure) under the dot (.) and slice [::] operators when operating on data objects.

Full documentation

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

mo-dots-9.530.24035.tar.gz (40.4 kB view details)

Uploaded Source

Built Distribution

mo_dots-9.530.24035-py3-none-any.whl (25.3 kB view details)

Uploaded Python 3

File details

Details for the file mo-dots-9.530.24035.tar.gz.

File metadata

  • Download URL: mo-dots-9.530.24035.tar.gz
  • Upload date:
  • Size: 40.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.6

File hashes

Hashes for mo-dots-9.530.24035.tar.gz
Algorithm Hash digest
SHA256 a5c06e2b365024ad1b0eb984879fc7cadb5f07bdd19c3068202181889a2612fe
MD5 52abe1709e764ad1774931dce8a098db
BLAKE2b-256 2706fb89a778e43ccdb121b29930d17984bd23656bd89e2e9a53899859b576e2

See more details on using hashes here.

File details

Details for the file mo_dots-9.530.24035-py3-none-any.whl.

File metadata

File hashes

Hashes for mo_dots-9.530.24035-py3-none-any.whl
Algorithm Hash digest
SHA256 b73b9b184c0e93b3f3d14a8d43603826c1ccd4f2d95c34693a8c6e3268339c8f
MD5 4c0b5b89f2c260cc8853ebf26776e352
BLAKE2b-256 26d608962f0c23cbc5b474e28653a2ddf770a0c39c054af62988197457261e0d

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