On Tue, Oct 6, 2015 at 12:48 AM, Chris Angelico <ros...@gmail.com> wrote:
> fn = "tmp1.csv"
> fin = open(fn, 'rb')
> rdr = csv.DictReader(fin, delimiter=',')
> # all the same down to here
> blanks = set(rdr.fieldnames)
> for row in data:
> blanks = {col for col in blanks if not row[col]}
> mt = [col for col in rdr.fieldnames if col not in blanks]
> print mt
Oops, premature send - hadn't proofread it yet.
fn = "tmp1.csv"
fin = open(fn, 'rb')
rdr = csv.DictReader(fin, delimiter=',')
# all the same down to here
blanks = set(rdr.fieldnames)
for row in rdr:
blanks = {col for col in blanks if not row[col]}
mt = [col for col in rdr.fieldnames if col not in blanks]
print mt
Though I still haven't tested it, so there may be other bugs. Broadly
speaking, though, what it does is quite simple: start by assuming that
every column is nothing but blanks, and then any time you find a
non-blank cell, remove it from the set of blanks. At the end, all
field names not present in the set of blanks are non-blanks.
ChrisA
--
https://mail.python.org/mailman/listinfo/python-list
