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[Home](https://kellyjonbrazil.github.io/jc/)
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# jc.parsers.csv
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jc - JSON CLI output utility `csv` file parser
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The `csv` parser will attempt to automatically detect the delimiter
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character. If the delimiter cannot be detected it will default to comma.
The first row of the file must be a header row.
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Usage (cli):
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$ cat file.csv | jc --csv
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Usage (module):
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import jc
result = jc.parse('csv', csv_output)
or
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import jc.parsers.csv
result = jc.parsers.csv.parse(csv_output)
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Schema:
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csv file converted to a Dictionary:
https://docs.python.org/3/library/csv.html
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[
{
"column_name1": string,
"column_name2": string
}
]
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Examples:
$ cat homes.csv
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"Sell", "List", "Living", "Rooms", "Beds", "Baths", "Age", "Acres"...
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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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## info
```python
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info()
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```
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Provides parser metadata (version, author, etc.)
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## 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:
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List of Dictionaries. Raw or processed structured data.
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## Parser Information
Compatibility: linux, darwin, cygwin, win32, aix, freebsd
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Version 1.4 by Kelly Brazil (kellyjonbrazil@gmail.com)