Pandas · Function
pd.read_csv
Reads CSV data into a pandas DataFrame. It can infer or control column types, headers, missing values, dates, selected columns, and chunked reading.
Last updated
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>)In-depth API docs are only for subscribers: parameters, examples, common mistakes and interview practice.
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