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jc.parsers.tsv_ih

jc - JSON Convert tsv implicit header file parser

The tsv implicit header file parser is a clone of the csv implicit header file parser that uses '\t' as the delimiter character. The file must have no header, and the field names will be generated as "c0", "c1", etc.

Usage (cli):

$ cat file.tsv | jc --tsv-ih

Usage (module):

import jc
result = jc.parse('tsv_ih', tsv_output)

Schema:

TSV file converted to a Dictionary: https://docs.python.org/3/library/csv.html

[
  {
    "c0":     string,
    "c1":     string
  }
]

Examples:

$ cat homes.tsv
142	160	28	10	5	3	60	0.28	3167
175	180	18	8	4	1	12	0.43	4033
129	132	13	6	3	1	41	0.33	1471
...

$ cat homes.tsv | jc --tsv-ih -p
[
  {
    "c0": "142",
    "c1": "160",
    "c2": "28",
    "c3": "10",
    "c4": "5",
    "c5": "3",
    "c6": "60",
    "c7": "0.28",
    "c8": "3167"
  },
  {
    "c0": "175",
    "c1": "180",
    "c2": "18",
    "c3": "8",
    "c4": "4",
    "c5": "1",
    "c6": "12",
    "c7": "0.43",
    "c8": "4033"
  },
  {
    "c0": "129",
    "c1": "132",
    "c2": "13",
    "c3": "6",
    "c4": "3",
    "c5": "1",
    "c6": "41",
    "c7": "0.33",
    "c8": "1471"
  },
  ...
]

parse

def parse(data: Union[str, bytes],
          raw: bool = False,
          quiet: bool = False) -> List[Dict[str, Any]]

Main text parsing function

Parameters:

data:        (string)  text data to parse
raw:         (boolean) unprocessed output if True
quiet:       (boolean) suppress warning messages if True

Returns:

List of Dictionaries. Raw or processed structured data.

Parser Information

Compatibility: linux, darwin, cygwin, win32, aix, freebsd

Source: jc/parsers/tsv_ih.py

Version 1.0 by Gary Gurlaskie (https://github.com/garyg1)