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jc/docs/parsers/universal.md
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jc.parsers.universal

jc - JSON Convert universal parsers

simple_table_parse

def simple_table_parse(data: List[str]) -> List[Dict]

Parse simple tables. The last column may contain data with spaces.

Parameters:

data:   (list)   Text data to parse that has been split into lines
                 via .splitlines(). Item 0 must be the header row.
                 Any spaces in header names should be changed to
                 underscore '_'. You should also ensure headers are
                 lowercase by using .lower().

                 Also, ensure there are no blank lines (list items)
                 in the data.

Returns:

List of Dictionaries

sparse_table_parse

def sparse_table_parse(data: List[str], delim: str = '\u2063') -> List[Dict]

Parse tables with missing column data or with spaces in column data.

Parameters:

data:   (list)   Text data to parse that has been split into lines
                 via .splitlines(). Item 0 must be the header row.
                 Any spaces in header names should be changed to
                 underscore '_'. You should also ensure headers are
                 lowercase by using .lower(). Do not change the
                 position of header names as the positions are used
                 to find the data.

                 Also, ensure there are no blank lines (list items)
                 in the data.

delim:  (string) Delimiter to use. By default `u\\2063`
                 (invisible separator) is used since it is unlikely
                 to ever be seen in terminal output. You can change
                 this for troubleshooting purposes or if there is a
                 delimiter conflict with your data.

Returns:

List of Dictionaries