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BUG: windows with TemporaryFile an read_csv #13398 #13481

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BUG: windows with TemporaryFile an read_csv #13398 #13481

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d8decae
#13398
mbrucher Jun 18, 2016
5af8465
Adding a test with Python engine
mbrucher Jun 18, 2016
119fb65
Added reference to original issue in the test + test the result itsel…
mbrucher Jun 18, 2016
98e476e
Using same way of referencing as just above, consistency.
mbrucher Jun 18, 2016
fd20aaf
Moved the test to the Python parser test file
mbrucher Jun 18, 2016
d8ceb57
lint changes
mbrucher Jun 18, 2016
1c33fb5
Simplified test and added what's new note.
mbrucher Jun 19, 2016
aa3f0aa
lint change
mbrucher Jun 19, 2016
5871625
Grammar
mbrucher Jun 19, 2016
0d54151
Simplified
mbrucher Jun 19, 2016
8b52631
Yet another small update for more general regex
mbrucher Jun 19, 2016
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.18.2.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -493,6 +493,7 @@ Bug Fixes
- Bug in ``pd.read_csv()`` in which the ``nrows`` argument was not properly validated for both engines (:issue:`10476`)
- Bug in ``pd.read_csv()`` with ``engine='python'`` in which infinities of mixed-case forms were not being interpreted properly (:issue:`13274`)
- Bug in ``pd.read_csv()`` with ``engine='python'`` in which trailing ``NaN`` values were not being parsed (:issue:`13320`)
- Bug in ``pd.read_csv()`` with ``engine='python'`` when reading from a tempfile.TemporaryFile on Windows with Python 3, separator expressed as a regex (:issue:`13398`)
- Bug in ``pd.read_csv()`` that prevents ``usecols`` kwarg from accepting single-byte unicode strings (:issue:`13219`)
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I think there are some grammar issues in that sentence.

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OK, changed

- Bug in ``pd.read_csv()`` that prevents ``usecols`` from being an empty set (:issue:`13402`)
- Bug in ``pd.read_csv()`` with ``engine=='c'`` in which null ``quotechar`` was not accepted even though ``quoting`` was specified as ``None`` (:issue:`13411`)
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2 changes: 1 addition & 1 deletion pandas/io/parsers.py
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Expand Up @@ -1868,7 +1868,7 @@ class MyDialect(csv.Dialect):

else:
def _read():
line = next(f)
line = f.readline()
pat = re.compile(sep)
yield pat.split(line.strip())
for line in f:
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14 changes: 14 additions & 0 deletions pandas/io/tests/parser/python_parser_only.py
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Expand Up @@ -171,3 +171,17 @@ def test_read_table_buglet_4x_multiindex(self):
columns=list('abcABC'), index=list('abc'))
actual = self.read_table(StringIO(data), sep='\s+')
tm.assert_frame_equal(actual, expected)

def test_temporary_file(self):
# GH13398
data1 = "0 0"

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Why do we need to do this? What's wrong with data = "0 0"?

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Nothing. It's late Sunday evening with a crappy game on tv :p

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Join the club! 😄

from tempfile import TemporaryFile
new_file = TemporaryFile("w+")
new_file.write(data1)
new_file.flush()
new_file.seek(0)

result = self.read_csv(new_file, sep=r"\s+", header=None)
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Can you double check that this actually errors without your changes? I couldn't get an error on my end (I think you need to change the sep argument to another multi-char regex).

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I have the error when I revert the change.

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@gfyoung gfyoung Jun 19, 2016 •
edited
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Hmm...how odd. It's because we do special handling of \s+, and you might be seeing it (while I am not) due to LOCALE differences. To be safe, I would recommend passing in sep="\s*" for that test.

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OK, I understand. I don't think it makes a difference as the test is not yet done there ont he regex, but I don't know the rest of pandas, so I trust you. I used @jreback regex, so using mine again in my last change.

expected = DataFrame([[0, 0]])
tm.assert_frame_equal(result, expected)