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| Filename | /usr/lib64/python2.6/csv.pyo |
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| Permission | rw-r--r-- |
| Owner | apache |
| Create time | 23-Dec-2025 17:41 |
| Last modified | 20-Jun-2019 19:45 |
| Last accessed | 22-Apr-2026 05:24 |
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csv.py - read/write/investigate CSV files
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csv.py - read/write/investigate CSV files
iÿÿÿÿN( t reduce( t Errort __version__t writert readert register_dialectt unregister_dialectt get_dialectt
list_dialectst field_size_limitt
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lineterminator, quoting.
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Looks for text enclosed between two identical quotes
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If there is no quotechar the delimiter can't be determined
this way.
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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.
2) build a table of freqencies of this frequency (meta-frequency?),
e.g. 'x occurred 5 times in 10 rows, 6 times in 1000 rows,
7 times in 2 rows'
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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