TableFromCsv

TableFromCsv loads simple metadata tables from CSV or TSV files. It is a source DataFrameTool, so it does not accept upstream workflow tables.

Inputs

• path: CSV, TSV, or TAB file path.

Files ending in .csv are read with comma separators; files ending in .tsv or .tab are read with tab separators.

Outputs

The tool returns a pandas DataFrame with the same columns and rows as the source file. It does not write a new file.

Minimal Example

from bioimageflow_core import Arguments
from bioimageflow_common_tools import TableFromCsv

df = TableFromCsv().transform(None, Arguments(path="metadata.csv"))

Dependencies and Core Libraries

pandas and pathlib.

Assumptions

The table is small enough to hold in memory and uses a standard CSV or TSV separator inferred from its file suffix.

Expected Results

The output is the DataFrame returned by pandas.read_csv with no index column configured by the tool.

Failure Modes

Unsupported suffixes raise ValueError. Missing or unreadable files fail through pandas.