# jc.parsers.csv
jc - JSON CLI output utility `csv` file parser

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 (cli):

    $ cat file.csv | jc --csv

Usage (module):

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

Schema:

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

    [
      {
        "column_name1":     string,
        "column_name2":     string
      }
    ]

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
```python
info()
```
Provides parser metadata (version, author, etc.)

## parse
```python
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.