jf 0.8.3

Python jsonl query engine

JF

JF, aka “jndex fingers” or more commonly “json filter pipeline”, is a jq-clone written in python. It supports evaluation of python one-liners, making it especially appealing for data scientists who are used to working with python.

Installing

pip install jf

Basic usage

Filter selected fields

$ cat samples.jsonl | jf 'map({id: x.id, subject: x.fields.subject})'
{"id": "87086895", "subject": "Swedish children stories"}
{"id": "87114792", "subject": "New Finnish storybooks"}

Features

supported formats: * json (uncompressed, gzip, bz2) * jsonl (uncompressed, gzip, bz2) * yaml (uncompressed, gzip, bz2) * csv and xlsx support if pandas and xlrd is installed * markdown table output support * xlsx (excel) * parquet

transformations: * construct generator pipeline with map, hide, filter * access json dict as classes with dot-notation for attributes * datetime and timedelta comparison * age() for timedelta between datetime and current time * first(N), last(N), islice(start, stop, step) * head and tail alias for last and first * firstnlast(N) (or headntail(N)) * import your own modules for more complex filtering * Support stateful classes for complex interactions between items * drop your filtered data to IPython for manual data exploration * pandas profiling support for quick data exploration * use –ordered_dict to keep items in order * sklearn toolbox for machine learning * running restful service for the transformation pipeline

Known bugs

• IPython doesn’t launch perfectly with piped data