jc/docs/parsers/csv.md

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# jc.parsers.csv

jc - JSON Convert `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
    result = jc.parse('csv', csv_output)

Schema:

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

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

Examples:

    $ cat homes.csv
    "Sell", "List", "Living", "Rooms", "Beds", "Baths", "Age", "Acres"...
    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"
      },
      ...
    ]

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### parse

```python
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/csv.py`](https://github.com/kellyjonbrazil/jc/blob/master/jc/parsers/csv.py)

Version 1.5 by Kelly Brazil (kellyjonbrazil@gmail.com)