Read in .ods and .fods files and return a pandas.DataFrame.
Provides a function to read in a .ods or .fods file and returns a pandas DataFrame.
ezodf to read in .ods files. Since .fods files are essentially xml,
lxml is used to read them. The correct parser is automatically chosen based on the file's extension.
If a range is specified in the sheet to be imported, it seems that
ezodf imports empty cells as well. Therefore, completely empty rows and columns are dropped from the DataFrame, before it is returned. Only trailing empty rows and columns are dropped.
If the ODS file contains duplicated column names, they will be numbered and the number is appended to the column name in the resulting DataFrame.
pip install pandas-ods-reader
from pandas_ods_reader import read_ods path = "path/to/file.ods" # by default the first sheet is imported df = read_ods(path) # load a sheet based on its index (1 based) sheet_idx = 2 df = read_ods(path, sheet_idx) # load a sheet based on its name sheet_name = "sheet1" df = read_ods(path, sheet_name) # load a file that does not contain a header row # if no columns are provided, they will be numbered df = read_ods(path, 1, headers=False) # load a file and provide custom column names # if headers is True (the default), the header row will be overwritten df = read_ods(path, 1, columns=["A", "B", "C"])
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