direct-formatting-pandas-ods-reader

Inspired from pandas-ods-reader, but with the ability to read direct formatting. pandas-ods-reader relies on ezodf to extract cell content, but ezodf ignores direct formatting, so we need to go at a lower level.

The direct (emphasis, strong, underline, subscript, superscript, and anchors) formatting is turned into markup in the resulting pandas DataFrame.

Dependencies

• lxml
• pandas

Usage

In a Python project

from direct_formatting_pandas_ods_reader import read_ods

# single global format
df = read_ods("test/test.ods")

df = read_ods("test/test.ods", format="markdown")

df = read_ods("test/test.ods", format="html", sheet=0)

# or per-column formats:
df = read_ods("test/test.ods", format={
    "Column 1": "markdown",
    "Column 3": "html"
})

The format argument can be:

1. "html", "markdown", "asciidoc" or "none" (global format for all columns),
2. or a dict mapping column labels to formats (unspecified column labels to "none")

sheet_index defaults to 0, which corresponds to the first sheet of the file.

Command-line usage

You can use this package as a CLI tool:

python -m direct_formatting_pandas_ods_reader input.ods -o output.csv -t html

• input.ods path to the ODS file (required).
• -o, --output output CSV file (if omitted, writes to standard output).
• -t, --type output format for formatting marks (asciidoc, markdown, html). Defaults to asciidoc.
• -s, --sheet index of the sheet to read (0-based, default: 0).

Install as a global CLI tool

pip install -e .

This creates a global direct-formatting-ods-to-csv command:

direct-formatting-ods-to-csv input.ods -t markdown

License

Licensed under the GNU GPL v3.0, Yann Trividic.