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

# jc.parsers.asciitable

jc - JSON Convert `asciitable` parser

This parser converts ASCII and Unicode text tables with single-line rows.

Column headers must be at least two spaces apart from each other and must
be unique.

For example:

    ╒══════════╤═════════╤════════╕
    │ foo      │ bar     │ baz    │
    ╞══════════╪═════════╪════════╡
    │ good day │         │ 12345  │
    ├──────────┼─────────┼────────┤
    │ hi there │ abc def │ 3.14   │
    ╘══════════╧═════════╧════════╛

    or

    +-----------------------------+
    | foo        bar       baz    |
    +-----------------------------+
    | good day             12345  |
    | hi there   abc def   3.14   |
    +-----------------------------+

    or

    | foo      | bar     | baz    |
    |----------|---------|--------|
    | good day |         | 12345  |
    | hi there | abc def | 3.14   |

    or

    foo        bar       baz
    ---------  --------  ------
    good day             12345
    hi there   abc def

    etc.

Usage (cli):

    $ cat table.txt | jc --asciitable

Usage (module):

    import jc
    result = jc.parse('asciitable', asciitable_string)

Schema:

    [
      {
        "column_name1":     string,    # empty string is null
        "column_name2":     string     # empty string is null
      }
    ]

Examples:

    $ asciitable | jc --asciitable -p
    []

    $ asciitable | jc --asciitable -p -r
    []

<a id="jc.parsers.asciitable.parse"></a>

### parse

```python
def parse(data: str, raw: bool = False, quiet: bool = False) -> List[Dict]
```

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

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