TemporaryFile as input to read_table raises TypeError: '_TemporaryFileWrapper' object is not an iterator

[mbrucher]

Although the requirement in the doc says that the input can be a file like object, it doesn't work with objects from tempfile. On Windows, they can't be reopened, so I need to pass the object itself.

Code Sample, a copy-pastable example if possible

import pandas as pd
from tempfile import TemporaryFile
new_file = TemporaryFile("w+")
dataframe = pd.read_table(new_file, skiprows=3, header=None, sep=r"\s*")

Expected Output

Not an exception!

output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.5.1.final.0
python-bits: 64

pandas: 0.18.0

[jreback]

this is only with engine='python' as the sep you gave is a regex (if you use sep='\s+' which is a more typical whitespace) it works as expected.

[jreback]

in the future, pls show the entire show_versions(). you are missing crucial information there (the platform); though you did put it in the comments. we ask for these things to make it easier for people to look.

[jreback]

pull-requests are welcome

[mbrucher]

Do you mean that if I used sep='\s+', there is no exception?
Yes, I removed some info because it's not relevant here (except the platform, I didn't see I removed the OS) + there are some things that I can't send as well.

[jreback]

yes if u were splitting on white space it would use the c engine which would give u an error that the data file is empty

since u used a regex it went to the python engine and gives that weird error (only on Windows)

[mbrucher]

Oh, OK. The thing is that I may have several spaces between columns, so I have to use the regex :(

[jreback]

\s+ is white space with at least a single space having 0 spaces is very weird

[mbrucher]

Yes, agreed that 0 spaces is weird :)
BTW, the data file is not empty, I'm passing the file like object, it shouldn't fail in any case!

[jreback]

oh the example above it IS empty

in any case I'd u would like to debug - I think it's a simple fix

[mbrucher]

Oh yes, sorry. I forgot I had to remove the data as it is confidential!