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BUG: read_excel throws generic IndexError if header argument specifies non-existent rows #43143
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MrCreosote
added
Bug
Needs Triage
Issue that has not been reviewed by a pandas team member
labels
Aug 20, 2021
Full stacktrace: IndexError Traceback (most recent call last)
<ipython-input-2-c7e91d4b5ed4> in <module>
----> 1 pandas.read_excel("~/temp/test_pandas/headers.xlsx", header=[0, 1])
~/.local/share/virtualenvs/py3.9playground--W4ZB8cD/lib/python3.9/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
309 stacklevel=stacklevel,
310 )
--> 311 return func(*args, **kwargs)
312
313 return wrapper
~/.local/share/virtualenvs/py3.9playground--W4ZB8cD/lib/python3.9/site-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, thousands, comment, skipfooter, convert_float, mangle_dupe_cols, storage_options)
370
371 try:
--> 372 data = io.parse(
373 sheet_name=sheet_name,
374 header=header,
~/.local/share/virtualenvs/py3.9playground--W4ZB8cD/lib/python3.9/site-packages/pandas/io/excel/_base.py in parse(self, sheet_name, header, names, index_col, usecols, squeeze, converters, true_values, false_values, skiprows, nrows, na_values, parse_dates, date_parser, thousands, comment, skipfooter, convert_float, mangle_dupe_cols, **kwds)
1270 DataFrame from the passed in Excel file.
1271 """
-> 1272 return self._reader.parse(
1273 sheet_name=sheet_name,
1274 header=header,
~/.local/share/virtualenvs/py3.9playground--W4ZB8cD/lib/python3.9/site-packages/pandas/io/excel/_base.py in parse(self, sheet_name, header, names, index_col, usecols, squeeze, dtype, true_values, false_values, skiprows, nrows, na_values, verbose, parse_dates, date_parser, thousands, comment, skipfooter, convert_float, mangle_dupe_cols, **kwds)
560 row += skiprows
561
--> 562 data[row], control_row = fill_mi_header(data[row], control_row)
563
564 if index_col is not None:
IndexError: list index out of range
|
I am new to OpenSource Projects . Can I work on this bug ? |
@kurchi1205 this hasn't been triaged. You are better looking at any existing issues marked "good first issue" and "contributions welcome" |
Is it possible to create a code only example without an external file? |
phofl
added
IO Excel
read_excel, to_excel
Needs Info
Clarification about behavior needed to assess issue
and removed
Needs Triage
Issue that has not been reviewed by a pandas team member
labels
Aug 23, 2021
@phofl here you go: In [1]: import pandas
In [2]: from io import BytesIO
In [3]: df = pandas.DataFrame(["header"])
In [4]: b = BytesIO()
In [5]: df.to_excel(b, header=False, index=False)
In [6]: b.seek(0)
Out[6]: 0
In [7]: pandas.read_excel(b, header=[0,1])
---------------------------------------------------------------------------
IndexError Traceback (most recent call last) |
simonjayhawkins
removed
the
Needs Info
Clarification about behavior needed to assess issue
label
Aug 26, 2021
Thanks @MrCreosote. Looks similar to the read_csv bug |
Merged
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It doesn't seem to be based on a search for read_excel and indexerror
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.
Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
Given an excel file with one tab that contains the text
header
in cell A1 and nothing else:Problem description
The code throws a (presumably unintended) IndexError, which is difficult to respond to as the actual cause of the error is not specified.
Expected Output
A
ParserError
(or other appropriate error type) with an error message that makes the cause of the problem clear.Output of
pd.show_versions()
INSTALLED VERSIONS
commit : 5f648bf
python : 3.9.6.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-154-generic
Version : #161-Ubuntu SMP Fri Jul 30 13:04:17 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.2
numpy : 1.21.2
pytz : 2021.1
dateutil : 2.8.2
pip : 20.3.3
setuptools : 51.3.3
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 7.26.0
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : 3.0.7
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlwt : None
numba : None
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