问题
I am working on python and I want to read an *.ods file and convert it to a python dictionary.
The key will be the first column value and the value will be second column value.
How can I do it? I used xlrd but it does not read *.ods files.
回答1:
Some available options:
pyexcel-ods: "A wrapper library to read, manipulate and write data in ods format." Can be installed via:
pip install pyexcel-ods. I personally recommend this package as I've used it and it is being actively maintained.py-odftools: "... a collection of tools for analyzing, converting and creating files in the ISO standard OpenDocument format." This project hasn't been updated since late 2007. It looks abandoned.
ezodf: "A Python package to create/manipulate OpenDocumentFormat files." Installable via
pip install ezodf. See caveat in the comments below about a serious issue with this package.
回答2:
Although you could ask your users to File>Save As (as you probably know), this might not be useful in your situation.
It's probably easier to use the libre/openoffice service. It can be run completely headless on a server without needing X11 installed or running, and that will give you a clean native conversion.
libreoffice --without-x --convert-to csv filename.ods
Check libreoffice --help (or openoffice --help) for details. This could also be wrapped in os.system(), subprocess.*(), etc. (Note: use -convert-to on Windows.) Also note: you cannot already be running any instances of Libre/Open/Star office, including the quickstarter.
Update: prior versions of LibreOffice used --headless instead of --without-x.
回答3:
Can you convert the .ODS to a csv first? Then parsing CSV using Python is pretty easy using the csv module.
回答4:
Check py-odftools.
回答5:
There's a great article on Linux Journal how to read ods in python. Ods file is a juz zip file containing xml file inside. You can than parse xml file to read all cells.
http://www.linuxjournal.com/article/9347?page=0,2
回答6:
This approach from the link below works awesomely for me reading/loading *.ods files into python dataframe.
You can choose to load by
sheet index or by
sheet name.
Peeped my solution from this project: https://pypi.org/project/pandas-ods-reader/
You might first need to install these dependencies: ezodf,lxml and pandas before continuing.
pip install pandas_ods_reader
from pandas_ods_reader import read_ods
Then:
filepath = "path/to/your/file.ods"
Doing loading of sheets based on indices (index 1 based)
sheet_idx = 1
df = read_ods(filepath, sheet_idx)
Doing loading of sheets based on sheet names
sheet_name = "sales_year_1"
df = read_ods(filepath, sheet_name)
Done.
来源：https://stackoverflow.com/questions/4745024/spreadsheet-to-python-dictionary-conversion