Python’s JSON module makes it very easy to dump data into a JSON file. However, I have found that the float values are encoded with a lot of decimal places or in scientific notation. There is no elegant method to set the formatting in the float encoder of the JSON module. The best solution seems to be to monkey patch its formatting option:
# Make json.dump() encode floats with 5 places of precision
json.encoder.FLOAT_REPR = lambda x: format(x, '.5f')
YAML (Yet Another Markup Language) is a language similar to JSON for reading and writing configuration information to files that are human readable. YAML is a superset of JSON. It uses indentation instead of the braces used by JSON.
- To be able to deal with YAML in Python, install the PyYAML package:
$ sudo pip install PyYAML
$ sudo pip3 install PyYAML
- Similar to JSON, YAML file can be directly loaded into a Python list or dict, depending on whether the root structure of the file is a list or a dict:
y = yaml.load(open("foobar.yaml"))
- Writing a Python structure back to a YAML is similarly straightforward:
yaml.dump(y, open("foobar.yaml", "w"))
- Note that the YAML file is written in flow style by default. This makes it look a bit like JSON. For human readability, it might be better to dump in block style, like this:
yaml.dump(y, open("foobar.yaml", "w"), default_flow_style=False)
Tried with: PyYAML 3.11, Python 3.5.2 and Ubuntu 16.04
jq is an awesome tool to play with JSON data at the commandline.
$ sudo apt install jq
- To format a JSON file so that it looks pretty:
$ cat ugly.json | jq '.'
I have found this extremely useful to format huge JSON files. jq is much faster at this job compared to the json.tool in Python.
- You can access and print a specific section of the JSON just like in Python. For example:
$ cat foobar.json | jq '.["records"]["name"]'
Note the use of single quotes to encapsulate the expression and use of double quotes inside to specify keys in dictionaries.
Tried with: jq 1.5 and Ubuntu 16.04
I ran the IPython Notebook server in a directory containing a
.ipynb notebook file:
$ ipython notebook
It opened the URL
http://127.0.0.1:8888 in my browser. The notebook file was listed in the webpage. I clicked it to load it and got this error:
Error loading notebook
Unreadable Notebook: Unsupported JSON
nbformat version 4 (supported version: 3)
This error is caused due to opening a notebook created with a newer IPython on a computer with an older IPython. On my computer, I was using IPython installed from Ubuntu repositories, which is ancient.
I first uninstalled it:
$ sudo apt remove ipython
I installed the latest IPython from the Python Package Index:
$ sudo pip install ipython
The installation was successful, but on running IPython it complained about many other programs. I installed the libraries it complained about:
$ sudo apt install python-zmq python-jinja2 python-jsonschema
IPython Notebook ran correctly and I was able to open the notebook after this! 🙂
Tried with: IPython 3.2 and Ubuntu 14.04