kandi X-RAY | python-jsonpath-rw Summary
kandi X-RAY | python-jsonpath-rw Summary
A robust and significantly extended implementation of JSONPath for Python, with a clear AST for metaprogramming.
Top functions reviewed by kandi - BETA
- Return a child of this field
- Create a child node
- Create a Datum in context
- Wrap data
- Return the list of matching datum
- Return a list of reified fields
- Returns the field names for the given datum
- Return a Datum from a given field
- Update the value of the data
- Update the value of the data in the tree
- Return a list of matching datum
- Updates the value of the path in the data
- Find all subdata in the tree
- Parse string
- Parse a YACC token stream
- Tokenize a string
- Find contexts for a given datum
- The full path of this node
- Return a list of datum values
- Main entry point
- Parse arguments
- Parse a string
- Find matches for given expression
- Print matches
python-jsonpath-rw Key Features
python-jsonpath-rw Examples and Code Snippets
Trending Discussions on python-jsonpath-rw
I need to be able to dynamically query a JSON object and then update or append it with values. Note the standard json package is not suitable for the task given the need to query and update an arbitrary set of values. I've found the following packages which support querying a JSON:
However appear to only support querying the data (please correct if I'm misunderstanding!), not updating or appending. For example, given the following JSON:...
ANSWERAnswered 2019-Jun-06 at 12:15
Edit: This is not a duplicate of Python offline package installation as the answer require 'pip' to be present. My premise is when 'pip' is not available.
My python script depends on this Github library. I need to create a self-sufficient tarball that includes this dependency and I can extract and run on my Production server, that does not have access to internet or pip. However I have Python 2.6.6/Python 2.7
I have created a virtualenv on my local machine (which has internet) and installed above dependency using pip. pip downloaded the dependent libraries. I obtained the requirements.txt with...
ANSWERAnswered 2019-May-08 at 07:00
Installing without pip requires you to install from the tarball archive directly. So,
- First, get all the tarball archives for the dependencies
- Transfer the tarballs to the dependent machine
- Extract all the tarballs to temp folder
- install using 'python setup.py install --user'
- Run the program :)
- Generate a requirements.txt using
pip freeze > requirements.txt
Getting tarballs from your python environment
- cd to your download folder
pip download -r ../requirements.txt --no-binary :all:. This downloads all requirements as tar.gz archive into current directory
Remember to download all the inner dependencies that are missing from target machine. I needed to also download setuptools-0.6c9 for Python 2.6.6
Transfer the download folder to the production machine(without internet and pip)
cd to download folder and run following command to install the dependency to the currently active python.
I do receive a JSON file which I am able to handle for most part in Python. However, a part of the file is containing data structured like the example below....
ANSWERAnswered 2019-Mar-24 at 19:22
You could try jsonpath-ng
pip install jsonpath-ng.
Given is a data structure which has the key
TEXT in arbitrary positions in the structure like this example:
ANSWERAnswered 2017-Dec-05 at 11:54
You can try
jsonpath as below:
I installed jsonpath-rw 1.4.0 with
sudo apt-get install python-jsonpath-rw
which comes with a
/usr/bin/jsonpath. But that is giving me errors when using Filter expressions:
ANSWERAnswered 2017-Jul-27 at 23:34
I got this working by using
jsonpath-rw-ext instead of
jsonpath-rw. This seems to be the one that has support for the filter extensions.
No vulnerabilities reported
You can use python-jsonpath-rw like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Reuse Trending Solutions
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page