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    <p>Most of the answers seem massively over complicated. You <strong>don't</strong> need back references. You <strong>don't</strong> need to depend on whether or not re.findall gives overlapping matches. Given that the input cannot be parsed with the csv module so a regular expression is pretty well the only way to go, all you need is to call re.split with a pattern that matches a field.</p> <p>Note that it is much easier here to match a field than it is to match a separator:</p> <pre><code>import re data = """part 1;"this is ; part 2;";'this is ; part 3';part 4;this "is ; part" 5""" PATTERN = re.compile(r'''((?:[^;"']|"[^"]*"|'[^']*')+)''') print PATTERN.split(data)[1::2] </code></pre> <p>and the output is:</p> <pre><code>['part 1', '"this is ; part 2;"', "'this is ; part 3'", 'part 4', 'this "is ; part" 5'] </code></pre> <p>As Jean-Luc Nacif Coelho correctly points out this won't handle empty groups correctly. Depending on the situation that may or may not matter. If it does matter it may be possible to handle it by, for example, replacing <code>';;'</code> with <code>';&lt;marker&gt;;'</code> where <code>&lt;marker&gt;</code> would have to be some string (without semicolons) that you know does not appear in the data before the split. Also you need to restore the data after:</p> <pre><code>&gt;&gt;&gt; marker = ";!$%^&amp;;" &gt;&gt;&gt; [r.replace(marker[1:-1],'') for r in PATTERN.split("aaa;;aaa;'b;;b'".replace(';;', marker))[1::2]] ['aaa', '', 'aaa', "'b;;b'"] </code></pre> <p>However this is a kludge. Any better suggestions?</p>
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    1. POHow to split but ignore separators in quoted strings, in python?
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    1. CO+1, I like this one, quite clean and make sense for me.
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    2. COoh btw, `[^;"']+` would be better than `([^;"']...)+` I think
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    3. COI don't think that `[^;"']+` helps. You still need the + outside the group to handle something that is a mix of ordinary characters and quoted elements. Elements which can repeat and themselves contain repeats are a great way to kill regular expression matching so should be avoided when possible.
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