![]() ![]() In addition, separators longer than 1 character andĭifferent from '\s ' will be interpreted as regular expressions and The separator, but the Python parsing engine can, meaning the latter willīe used and automatically detect the separator by Python’s builtin sniffer If sep is None, the C engine cannot automatically detect If you want to pass in a path object, pandas accepts any os.PathLike.īy file-like object, we refer to objects with a read() method, such asĪ file handle (e.g. A local file could be: file://localhost/path/to/table.csv. ![]() URL schemes include http, ftp, s3, gs, and file. Parameters filepath_or_buffer str, path object or file-like objectĪny valid string path is acceptable. Read a comma-separated values (csv) file into DataFrame.Īlso supports optionally iterating or breaking of the fileĪdditional help can be found in the online docs for ![]() read_csv ( filepath_or_buffer, *, sep = _NoDefault.no_default, delimiter = None, header = 'infer', names = _NoDefault.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, verbose = False, skip_blank_lines = True, parse_dates = None, infer_datetime_format = _NoDefault.no_default, keep_date_col = False, date_parser = _NoDefault.no_default, 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', delim_whitespace = False, low_memory = True, memory_map = False, float_precision = None, storage_options = None, dtype_backend = _NoDefault.no_default ) #
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