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| Started by | Chris Angelico <rosuav@gmail.com> |
|---|---|
| First post | 2015-10-06 01:34 +1100 |
| Last post | 2015-10-06 01:34 +1100 |
| Articles | 1 — 1 participant |
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Re: Finding Blank Columns in CSV Chris Angelico <rosuav@gmail.com> - 2015-10-06 01:34 +1100
| From | Chris Angelico <rosuav@gmail.com> |
|---|---|
| Date | 2015-10-06 01:34 +1100 |
| Subject | Re: Finding Blank Columns in CSV |
| Message-ID | <mailman.396.1444055666.28679.python-list@python.org> |
On Tue, Oct 6, 2015 at 1:06 AM, Tim Chase <python.list@tim.thechases.com> wrote: > That way, if you determine by line 3 that your million-row CSV file > has no blank columns, you can get away with not processing all > million rows. Sure, although that effectively means the entire job is moot. I kinda assume that the OP knows that there are some blank columns (maybe lots of them). The extra check is unnecessary unless it's actually plausible that there'll be no blanks whatsoever. Incidentally, you have an ordered_headers list which is the blank columns in order; I think the OP was looking for a list of the _non_blank columns. But that's a trivial difference, easy to tweak. ChrisA
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