Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
for file in os.listdir('data'): pandas.read_excel(pathlib.Path('data', file), engine='odf')
Sorry I don't have a minimal data example at this time.
Problem description
Was trying to test pandas reading a collection of ods files and ran into this error.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/util/_decorators.py", line 296, in wrapper
return func(*args, **kwargs)
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 311, in read_excel
return io.parse(
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 906, in parse
return self._reader.parse(
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_base.py", line 443, in parse
data = self.get_sheet_data(sheet, convert_float)
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_odfreader.py", line 91, in get_sheet_data
value = self._get_cell_value(sheet_cell, convert_float)
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_odfreader.py", line 175, in _get_cell_value
return self._get_cell_string_value(cell)
File "/home/michael/.local/share/virtualenvs/merge-csv-NFbvYFrS/lib/python3.8/site-packages/pandas/io/excel/_odfreader.py", line 211, in _get_cell_string_value
value.append(" " * spaces)
UnboundLocalError: local variable 'spaces' referenced before assignment
I took a look at the code in question and it seems like the line may be on the wrong indent level?
Expected Output
The usual dataframes 👍
Output of pd.show_versions()
INSTALLED VERSIONS
commit : d9fff27
python : 3.8.2.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-42-generic
Version : #46-Ubuntu SMP Fri Jul 10 00:24:02 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.1.0
numpy : 1.19.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.0.2
setuptools : 44.0.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None