Cawdrey

Several useful custom dictionaries for Python 📖 🐍

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Highlights

frozendict: An immutable dictionary that cannot be changed after creation.
FrozenOrderedDict: An immutable OrderedDict where the order of keys is preserved, but that cannot be changed after creation.
AlphaDict: A FrozenOrderedDict where the keys are stored in alphabetical order.
bdict: A dictionary where key, value pairs are stored both ways round.
Tally: A subclass of collections.Counter with additional methods.
HeaderMapping: A collections.abc.MutableMapping which supports duplicate, case-insentive keys.

This package also provides two base classes for creating your own custom dictionaries:

FrozenBase: An Abstract Base Class for frozen dictionaries.
MutableBase: An Abstract Base Class for mutable dictionaries.

Other Dictionary Packages

If you’re looking to unflatten a dictionary, such as to go from this:

{"foo.bar": "val"}

to this:

{"foo": {"bar": "val"}}

check out unflatten, flattery or morph to accomplish that.

indexed provides an OrderedDict where the values can be accessed by their index as well as by their keys.

There’s also python-benedict, which provides a custom dictionary with keylist/keypath support, I/O shortcuts (Base64, CSV, JSON, TOML, XML, YAML, pickle, query-string) and many utilities.

Installation

python3 -m pip install cawdrey --user

First add the required channels

conda config --add channels https://conda.anaconda.org/conda-forge
conda config --add channels https://conda.anaconda.org/domdfcoding

Then install

conda install cawdrey

python3 -m pip install git+https://github.com/domdfcoding/cawdrey@master --user

Contents

View the Function Index or browse the Source Code.

Browse the GitHub Repository

And Finally:

Why “Cawdrey”?