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<a id="jc.parsers.csv_ih_s"></a>

# jc.parsers.csv_ih_s

jc - JSON Convert `csv` implicit header file streaming parser

> This streaming parser outputs JSON Lines (cli) or returns an Iterable of
> Dictionaries (module)

The `csv` implicit header parser will attempt to automatically detect the
delimiter character. If the delimiter cannot be detected it will default to
comma. The file must have no header, and the field names will be generated
as "c0", "c1", etc.

> Note: The first 100 rows are read into memory to enable delimiter
> detection, then the rest of the rows are loaded lazily.

Usage (cli):

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

Usage (module):

    import jc
    result = jc.parse('csv_ih', csv_output)

Schema:

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

    {
      "c0":     string,
      "c1":     string,

      # below object only exists if using -qq or ignore_exceptions=True
      "_jc_meta": {
        "success":        boolean,     # false if error parsing
        "error":          string,      # exists if "success" is false
        "line":           string       # exists if "success" is false
      }
    }

Examples:

    $ cat homes.csv
    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-ih-s
    {"c0":"142","c1":"160","c2":"28","c3":"10","c4":"5"...}
    {"c0":"175","c1":"180","c2":"18","c3":"8","c4":"4"...}
    {"c0":"129","c1":"132","c2":"13","c3":"6","c4":"3"...}
    ...

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### parse

```python
def parse(data: Union[str, bytes],
          raw: bool = False,
          quiet: bool = False,
          ignore_exceptions: 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_ih_s.py`](https://github.com/kellyjonbrazil/jc/blob/master/jc/parsers/csv_ih_s.py)

Version 1.0 by Kelly Brazil (kellyjonbrazil@gmail.com)
