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Pandas · Function

read_csv

pandas.read_csv reads comma-separated data and returns a DataFrame. It supports paths, URLs, file-like objects, type selection, date parsing, missing values, and chunked reading.

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Syntax

pandas.read_csv(filepath_or_buffer, *, sep=<no_default>, delimiter=<no_default>, header='infer', names=<no_default>, index_col=None, usecols=None, dtype=None, engine=None, converters=None, true_values=None, false_values=None, skipinitialspace=False, skiprows=None, skipfooter=0, nrows=None, na_values=None, keep_default_na=True, na_filter=True, skip_blank_lines=True, parse_dates=None, date_format=None, dayfirst=False, cache_dates=True, iterator=False, chunksize=None, compression='infer', thousands=None, decimal='.', lineterminator=None, quotechar='"', quoting=0, doublequote=True, escapechar=None, comment=None, encoding=None, encoding_errors='strict', dialect=None, on_bad_lines='error', low_memory=True, memory_map=False, float_precision=None, storage_options=None, dtype_backend=<no_default>)

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Source: pandas.read_csv — pandas 3.1.0 documentation. Checked 2026-11-03.