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Misleading read_csv() error message. It says lines but refers to rows. #22789
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I'm not clear on the distinction you are trying to make - can you provide a more illustrative example? |
@WillAyd :
there is an error, which prevents the correct parsing of row 4 (1-based numbering not counting the header row, or 0-based counting also the header row). I guess that the error message (sorry I had no time to check the source) refers to a "logical" line 4 (0-based), where multi-line strings have already collapsed into a single logical line. IMHO error messages should contain an unambiguous reference to the line/column (1-based) of the original input file. |
This proposal seems fine to me. @miccoli : Would you like to submit a PR for this? |
@gfyoung : I know, when you suggest an improvement you are morally obliged to implement it! 😃 Unfortunately I have to decline, since I have no spare time at this moment to dedicate for a new PR. |
@miccoli : No worries! Time is a limited resource, no need to remind me 😉 |
This is not an error per se but might misdirect others as it did to me.
Problem description
This code results in the following message
ParserError: Error tokenizing data. C error: EOF inside string starting at line 4
which seems correct at first sight. But actually the problematic string does not start at line 4 it starts at row 4. I was working with a very large file and did not have the chance to debug it easily. I spendt considerable time trying to figure out the problem with that line in the file.
In a csv file every line does not necessarily correspond to a row.
Expected Output
ParserError: Error tokenizing data. C error: EOF inside string starting at row 4
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Linux
OS-release: 4.16.7-041607-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.22.0
pytest: 3.5.1
pip: 18.0
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
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