More Dots! Dot-access to Python dicts like Javascript
Project description
More Dots!
Branch | Status |
---|---|
master | |
dev |
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
Easy Definition
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 dict
s 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.
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