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lines changed Original file line number Diff line number Diff line change @@ -91,11 +91,12 @@ filepath_or_buffer : various
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locations), or any object with a ``read() `` method (such as an open file or
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:class: `~python:io.StringIO `).
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sep : str, defaults to ``',' `` for :func: `read_csv `, ``\t `` for :func: `read_table `
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- Delimiter to use. If sep is ``None ``,
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- will try to automatically determine this. Separators longer than 1 character
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- and different from ``'\s+' `` will be interpreted as regular expressions, will
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- force use of the python parsing engine and will ignore quotes in the data.
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- Regex example: ``'\\r\\t' ``.
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+ Delimiter to use. If sep is ``None ``, the C engine cannot automatically detect
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+ the separator, but the Python parsing engine can, meaning the latter will be
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+ used automatically. In addition, separators longer than 1 character and
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+ different from ``'\s+' `` will be interpreted as regular expressions and
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+ will also force the use of the Python parsing engine. Note that regex
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+ delimiters are prone to ignoring quoted data. Regex example: ``'\\r\\t' ``.
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delimiter : str, default ``None ``
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Alternative argument name for sep.
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delim_whitespace : boolean, default False
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currently more feature-complete."""
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_sep_doc = r"""sep : str, default {default}
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- Delimiter to use. If sep is None, will try to automatically determine
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- this. Separators longer than 1 character and different from ``'\s+'`` will
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- be interpreted as regular expressions, will force use of the python parsing
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- engine and will ignore quotes in the data. Regex example: ``'\r\t'``"""
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+ Delimiter to use. If sep is None, the C engine cannot automatically detect
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+ the separator, but the Python parsing engine can, meaning the latter will
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+ be used automatically. In addition, separators longer than 1 character and
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+ different from ``'\s+'`` will be interpreted as regular expressions and
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+ will also force the use of the Python parsing engine. Note that regex
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+ delimiters are prone to ignoring quoted data. Regex example: ``'\r\t'``"""
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_read_csv_doc = """
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Read CSV (comma-separated) file into DataFrame
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