Python jsonl query engine
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.
pip install jf
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
- IPython doesn’t launch perfectly with piped data
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