read_csv treats \x00 as EOL instead of null value

[spillz]

Not sure if this is a bug, but it took me a long time to figure out what was going on in a much bigger datafile than the sample one below.

Code Sample, a copy-pastable example if possible

import pandas
import StringIO

data='''var1,var2,var3
1,2,0
2,\x00,0
3,4,0
4,5,0
'''

print pandas.read_csv(StringIO.StringIO(data))

Expected Output

A table with 4 rows instead of 5, or an error.

output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 62 Stepping 4, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 20.3
Cython: 0.23.4
numpy: 1.11.0
scipy: 0.17.0
statsmodels: 0.6.1
xarray: None
IPython: 4.1.2
sphinx: 1.3.5
patsy: 0.4.0
dateutil: 2.5.3
pytz: 2016.4
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.5
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.8.4
lxml: 3.6.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.12
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.39.0
pandas_datareader: None

[gfyoung]

I don't see an error on master:

>>> from pandas import read_csv
>>> from pandas.compat import StringIO
>>> data="""var1,var2,var3
1,2,0
2,\x00,0
3,4,0
4,5,0
"""
>>> df = read_csv(StringIO(data))
>>> df
   var1  var2  var3
0   1.0   2.0   0.0
1   2.0   NaN   NaN
2   NaN   0.0   NaN
3   3.0   4.0   0.0
4   4.0   5.0   0.0

[spillz]

It should be:

var1 var2 var3
0 1.0 2.0 0.0
1 2.0 NaN 0.0
2 3.0 4.0 0.0
3 4.0 5.0 0.0

On Aug 16, 2016 10:57 PM, "gfyoung" notifications@github.com wrote:

I don't see an error on master:

from pandas import read_csv>>> from pandas.compat import StringIO>>> data="""var1,var2,var31,2,02,\x00,03,4,04,5,0""">>> df = read_csv(StringIO(data))>>> df
var1 var2 var30 1.0 2.0 0.01 2.0 NaN NaN2 NaN 0.0 NaN3 3.0 4.0 0.04 4.0 5.0 0.0

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[gfyoung]

@spillz : Sorry, I was meaning to write more to clarify my comment. In the meantime, could you add that (the expected output) to your original issue?

[gfyoung]

@spillz , @jreback : Actually, my PR speaks for itself here in terms of "expanding" on my comment above. In short, this is a bug.