python-benedict | dict subclass with keylist/keypath support | JSON Processing library
kandi X-RAY | python-benedict Summary
kandi X-RAY | python-benedict Summary
python-benedict is a Python library typically used in Utilities, JSON Processing applications. python-benedict has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install python-benedict' or download it from GitHub, PyPI.
:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
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Quality
Security
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Support
python-benedict has a medium active ecosystem.
It has 1089 star(s) with 42 fork(s). There are 13 watchers for this library.
There were 3 major release(s) in the last 12 months.
There are 9 open issues and 81 have been closed. On average issues are closed in 47 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of python-benedict is 0.33.2
Quality
python-benedict has 0 bugs and 0 code smells.
Security
python-benedict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
python-benedict code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
python-benedict is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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python-benedict releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 11959 lines of code, 866 functions and 153 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed python-benedict and discovered the below as its top functions. This is intended to give you an instant insight into python-benedict implemented functionality, and help decide if they suit your requirements.
- Ensure that the keys in d have a keypath separator
- Traverse a collection
- Traverse a dictionary
- Traverse a collection recursively
- Decode a config string
- Get the value of a section option
- Return a list of items
- Encode a dict to a CSV file
- Return a list of all keys in the dictionary
- Decode a given string
- Return a copy of the dict with the given function
- Try to parse a value into a dictionary
- Return unique values in a dictionary
- Return base64 encoded string
- Encodes the given data to file
- Return a subset of a dictionary
- Invert a dictionary
- Nest a nested list of items
- Set an item in a dictionary
- Parse a JSON string
- Decode a query string
- Encode a dictionary
- Serialize obj to JSON
- Return all keys matching a regular expression
- Return a list of items matching the query
- Parse a phone number
Get all kandi verified functions for this library.
python-benedict Key Features
No Key Features are available at this moment for python-benedict.
python-benedict Examples and Code Snippets
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from benedict import benedict
d = benedict.from_json('data.json')
print(d['payload.metadata.coverImage.id'])
# or use get to avoid a possible KeyError
print(d.get('payload.metadata.coverImage.id'))
Community Discussions
Trending Discussions on python-benedict
QUESTION
how do I get keys from a nested dictionary?
Asked 2021-Jun-18 at 08:42
Consider the nested dictionary:
...ANSWER
Answered 2021-Jun-18 at 08:42Why don't just using pandas
?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-benedict
Run pip install python-benedict
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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