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csv.py - read/write/investigate CSV files
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d � Z d � Z RS( s� Describe an Excel dialect.
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delimiter, quotechar, escapechar, doublequote, skipinitialspace,
lineterminator, quoting.
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"Sniffs" the format of a CSV file (i.e. delimiter, quotechar)
Returns a Dialect object.
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Returns a dialect (or None) corresponding to the sample
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Looks for text enclosed between two identical quotes
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by the same character (the probable delimiter).
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The quote with the most wins, same with the delimiter.
If there is no quotechar the delimiter can't be determined
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The delimiter /should/ occur the same number of times on
each row. However, due to malformed data, it may not. We don't want
an all or nothing approach, so we allow for small variations in this
number.
1) build a table of the frequency of each character on every line.
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3) use the mode of the meta-frequency to determine the /expected/
frequency for that character
4) find out how often the character actually meets that goal
5) the character that best meets its goal is the delimiter
For performance reasons, the data is evaluated in chunks, so it can
try and evaluate the smallest portion of the data possible, evaluating
additional chunks as necessary.
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