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docs/parsers/asciitable.md
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docs/parsers/asciitable.md
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[Home](https://kellyjonbrazil.github.io/jc/)
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<a id="jc.parsers.asciitable"></a>
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# jc.parsers.asciitable
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jc - JSON Convert `asciitable` parser
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This parser converts ASCII and Unicode text tables with single-line rows.
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Column headers must be at least two spaces apart from each other and must
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be unique.
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For example:
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╒══════════╤═════════╤════════╕
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│ foo │ bar │ baz │
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╞══════════╪═════════╪════════╡
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│ good day │ │ 12345 │
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├──────────┼─────────┼────────┤
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│ hi there │ abc def │ 3.14 │
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╘══════════╧═════════╧════════╛
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or
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+-----------------------------+
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| foo bar baz |
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+-----------------------------+
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| good day 12345 |
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| hi there abc def 3.14 |
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+-----------------------------+
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or
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| foo | bar | baz |
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|----------|---------|--------|
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| good day | | 12345 |
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| hi there | abc def | 3.14 |
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or
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foo bar baz
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--------- -------- ------
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good day 12345
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hi there abc def
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etc.
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Usage (cli):
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$ cat table.txt | jc --asciitable
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Usage (module):
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import jc
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result = jc.parse('asciitable', asciitable_string)
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Schema:
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[
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{
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"column_name1": string, # empty string is null
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"column_name2": string # empty string is null
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}
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]
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Examples:
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$ asciitable | jc --asciitable -p
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[]
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$ asciitable | jc --asciitable -p -r
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[]
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<a id="jc.parsers.asciitable.parse"></a>
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### parse
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```python
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def parse(data: str, raw: bool = False, quiet: bool = False) -> List[Dict]
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```
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Main text parsing function
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Parameters:
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data: (string) text data to parse
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raw: (boolean) unprocessed output if True
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quiet: (boolean) suppress warning messages if True
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Returns:
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List of Dictionaries. Raw or processed structured data.
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### Parser Information
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Compatibility: linux, darwin, cygwin, win32, aix, freebsd
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Version 1.0 by Kelly Brazil (kellyjonbrazil@gmail.com)
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[
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{
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"column_name1": string,
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"column_name2": string
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"column_name1": string, # empty string is null
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"column_name2": string # empty string is null
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}
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]
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