jc.parsers.csv

jc - JSON CLI output utility csv Parser

Usage (cli):

specify --csv as the first argument if the piped input is coming from a csv file.
the csv parser will attempt to automatically detect the delimiter character.
if the delimiter cannot be detected it will default to comma.
the first row of the file must be a header row.

Usage (module):

import jc.parsers.csv
result = jc.parsers.csv.parse(csv_output)

Compatibility:

'linux', 'darwin', 'cygwin', 'win32', 'aix', 'freebsd'

Examples:

$ cat homes.csv
"Sell", "List", "Living", "Rooms", "Beds", "Baths", "Age", "Acres", "Taxes"
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.csv | jc --csv -p
[
  {
    "Sell": "142",
    "List": "160",
    "Living": "28",
    "Rooms": "10",
    "Beds": "5",
    "Baths": "3",
    "Age": "60",
    "Acres": "0.28",
    "Taxes": "3167"
  },
  {
    "Sell": "175",
    "List": "180",
    "Living": "18",
    "Rooms": "8",
    "Beds": "4",
    "Baths": "1",
    "Age": "12",
    "Acres": "0.43",
    "Taxes": "4033"
  },
  {
    "Sell": "129",
    "List": "132",
    "Living": "13",
    "Rooms": "6",
    "Beds": "3",
    "Baths": "1",
    "Age": "41",
    "Acres": "0.33",
    "Taxes": "1471"
  },
  ...
]

info

info()

process

process(proc_data)

Final processing to conform to the schema.

Parameters:

proc_data:   (dictionary) raw structured data to process

Returns:

List of dictionaries. Each dictionary represents a row in the csv file:

[
  {
    csv file converted to a Dictionary
    https://docs.python.org/3/library/csv.html
  }
]

parse

parse(data, raw=False, quiet=False)

Main text parsing function

Parameters:

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

Returns:

List of dictionaries. Raw or processed structured data.

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jc.parsers.csv

info

process

parse

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