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add table result examples
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@ -28,6 +28,12 @@ Example Table:
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carrot squash celery spinach my favorite veggies
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chicken beef pork eggs my favorite proteins
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[{'col1': 'apple', 'col2': 'orange', 'col3': 'pear', 'col4':
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'banana', 'col5': 'my favorite fruits'}, {'col1': 'carrot', 'col2':
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'squash', 'col3': 'celery', 'col4': 'spinach', 'col5':
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'my favorite veggies'}, {'col1': 'chicken', 'col2': 'beef', 'col3':
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'pork', 'col4': 'eggs', 'col5': 'my favorite proteins'}]
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Parameters:
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data: (list) Text data to parse that has been split into lines
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@ -52,7 +58,8 @@ def sparse_table_parse(data: List[str], delim: str = '\u2063') -> List[Dict]
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```
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Parse tables with missing column data or with spaces in column data.
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Data elements must line up within column boundaries.
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Blank cells are converted to None in the resulting dictionary. Data
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elements must line up within column boundaries.
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Example Table:
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@ -61,6 +68,12 @@ Example Table:
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green beans celery spinach my favorite veggies
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chicken beef brown eggs my favorite proteins
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[{'col1': 'apple', 'col2': 'orange', 'col3': None, 'col4':
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'fuzzy peach', 'col5': 'my favorite fruits'}, {'col1':
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'green beans', 'col2': None, 'col3': 'celery', 'col4': 'spinach',
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'col5': 'my favorite veggies'}, {'col1': 'chicken', 'col2': 'beef',
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'col3': None, 'col4': 'brown eggs', 'col5': 'my favorite proteins'}]
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Parameters:
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data: (list) Text data to parse that has been split into lines
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@ -17,6 +17,12 @@ def simple_table_parse(data: List[str]) -> List[Dict]:
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carrot squash celery spinach my favorite veggies
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chicken beef pork eggs my favorite proteins
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[{'col1': 'apple', 'col2': 'orange', 'col3': 'pear', 'col4':
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'banana', 'col5': 'my favorite fruits'}, {'col1': 'carrot', 'col2':
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'squash', 'col3': 'celery', 'col4': 'spinach', 'col5':
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'my favorite veggies'}, {'col1': 'chicken', 'col2': 'beef', 'col3':
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'pork', 'col4': 'eggs', 'col5': 'my favorite proteins'}]
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Parameters:
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data: (list) Text data to parse that has been split into lines
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@ -44,7 +50,8 @@ def simple_table_parse(data: List[str]) -> List[Dict]:
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def sparse_table_parse(data: List[str], delim: str = '\u2063') -> List[Dict]:
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"""
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Parse tables with missing column data or with spaces in column data.
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Data elements must line up within column boundaries.
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Blank cells are converted to None in the resulting dictionary. Data
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elements must line up within column boundaries.
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Example Table:
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@ -53,6 +60,12 @@ def sparse_table_parse(data: List[str], delim: str = '\u2063') -> List[Dict]:
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green beans celery spinach my favorite veggies
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chicken beef brown eggs my favorite proteins
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[{'col1': 'apple', 'col2': 'orange', 'col3': None, 'col4':
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'fuzzy peach', 'col5': 'my favorite fruits'}, {'col1':
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'green beans', 'col2': None, 'col3': 'celery', 'col4': 'spinach',
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'col5': 'my favorite veggies'}, {'col1': 'chicken', 'col2': 'beef',
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'col3': None, 'col4': 'brown eggs', 'col5': 'my favorite proteins'}]
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Parameters:
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data: (list) Text data to parse that has been split into lines
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