MiniMindsLab CSV Cell Trim

minimindslab-csv-cell-trim is a small, pure-Python utility for trimming leading and trailing whitespace from every string cell in CSV-like row data.

It is designed for pre-cleaning small CSV exports before joins, comparisons, deduplication, or spreadsheet loading.

Features

• Trims whitespace on all string cells.
• Preserves non-string values unchanged.
• Preserves row and column structure exactly.
• Returns a new data structure (does not mutate input).
• Standard library only.

Installation

pip install minimindslab-csv-cell-trim

Usage

from minimindslab_csv_cell_trim import trim_csv_cells

rows = [
    ["  alpha ", " beta", ""],
    [" 42 ", 42, None],
]

cleaned = trim_csv_cells(rows)

# cleaned:
# [
#   ["alpha", "beta", ""],
#   ["42", 42, None],
# ]

API

trim_csv_cells(rows)

• rows: sequence of row sequences (e.g., list of lists / tuples)
• returns: list[list[object]]

Raises:

• TypeError if rows is not a sequence of rows or any row is not a sequence.
• TypeError if any row is a str/bytes object.

License

MIT