BUG: valueerror: found non-unique column index !! when using read_csv and arrow engine when CSV has duplicate columns

[tfr2003]

I got this error massage :

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[9], line 1
----> 1 ff=pd.read_csv("CSVWO/2022-December.csv",engine="pyarrow")

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pandas/io/parsers/readers.py:912, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)
    899 kwds_defaults = _refine_defaults_read(
    900     dialect,
    901     delimiter,
   (...)
    908     dtype_backend=dtype_backend,
    909 )
    910 kwds.update(kwds_defaults)
--> 912 return _read(filepath_or_buffer, kwds)

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pandas/io/parsers/readers.py:583, in _read(filepath_or_buffer, kwds)
    580     return parser
    582 with parser:
--> 583     return parser.read(nrows)

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pandas/io/parsers/readers.py:1692, in TextFileReader.read(self, nrows)
   1689 if self.engine == "pyarrow":
   1690     try:
   1691         # error: "ParserBase" has no attribute "read"
-> 1692         df = self._engine.read()  # type: ignore[attr-defined]
   1693     except Exception:
   1694         self.close()

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pandas/io/parsers/arrow_parser_wrapper.py:163, in ArrowParserWrapper.read(self)
    161     frame = table.to_pandas(types_mapper=_arrow_dtype_mapping().get)
    162 else:
--> 163     frame = table.to_pandas()
    164 return self._finalize_pandas_output(frame)

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pyarrow/array.pxi:830, in pyarrow.lib._PandasConvertible.to_pandas()

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pyarrow/table.pxi:3990, in pyarrow.lib.Table._to_pandas()

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pyarrow/pandas_compat.py:819, in table_to_blockmanager(options, table, categories, ignore_metadata, types_mapper)
    816     ext_columns_dtypes = _get_extension_dtypes(table, [], types_mapper)
    818 _check_data_column_metadata_consistency(all_columns)
--> 819 columns = _deserialize_column_index(table, all_columns, column_indexes)
    820 blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
    822 axes = [columns, index]

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pyarrow/pandas_compat.py:938, in _deserialize_column_index(block_table, all_columns, column_indexes)
    935     columns = _reconstruct_columns_from_metadata(columns, column_indexes)
    937 # ARROW-1751: flatten a single level column MultiIndex for pandas 0.21.0
--> 938 columns = _flatten_single_level_multiindex(columns)
    940 return columns

File /Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pyarrow/pandas_compat.py:1185, in _flatten_single_level_multiindex(index)
   1183     # Cheaply check that we do not somehow have duplicate column names
   1184     if not index.is_unique:
-> 1185         raise ValueError('Found non-unique column index')
   1187     return pd.Index(
   1188         [levels[_label] if _label != -1 else None for _label in labels],
   1189         dtype=dtype,
   1190         name=index.names[0]
   1191     )
   1192 return index

ValueError: Found non-unique column index

When try to use (read_csv(path,engine="pyarrow”)). !!!

Thanks

[MarcoGorelli]

thanks @tfr2003 for the report

simpler reproducer:

import io
data = io.StringIO('a,a\n1,1\n2,2\n')
pd.read_csv(data,engine="pyarrow")
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In [5], line 1
----> 1 pd.read_csv(data,engine="pyarrow")

File ~/tmp/.venv/lib/python3.8/site-packages/pandas/io/parsers/readers.py:912, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)
    899 kwds_defaults = _refine_defaults_read(
    900     dialect,
    901     delimiter,
   (...)
    908     dtype_backend=dtype_backend,
    909 )
    910 kwds.update(kwds_defaults)
--> 912 return _read(filepath_or_buffer, kwds)

File ~/tmp/.venv/lib/python3.8/site-packages/pandas/io/parsers/readers.py:583, in _read(filepath_or_buffer, kwds)
    580     return parser
    582 with parser:
--> 583     return parser.read(nrows)

File ~/tmp/.venv/lib/python3.8/site-packages/pandas/io/parsers/readers.py:1692, in TextFileReader.read(self, nrows)
   1689 if self.engine == "pyarrow":
   1690     try:
   1691         # error: "ParserBase" has no attribute "read"
-> 1692         df = self._engine.read()  # type: ignore[attr-defined]
   1693     except Exception:
   1694         self.close()

File ~/tmp/.venv/lib/python3.8/site-packages/pandas/io/parsers/arrow_parser_wrapper.py:163, in ArrowParserWrapper.read(self)
    161     frame = table.to_pandas(types_mapper=_arrow_dtype_mapping().get)
    162 else:
--> 163     frame = table.to_pandas()
    164 return self._finalize_pandas_output(frame)

File ~/tmp/.venv/lib/python3.8/site-packages/pyarrow/array.pxi:830, in pyarrow.lib._PandasConvertible.to_pandas()

File ~/tmp/.venv/lib/python3.8/site-packages/pyarrow/table.pxi:3990, in pyarrow.lib.Table._to_pandas()

File ~/tmp/.venv/lib/python3.8/site-packages/pyarrow/pandas_compat.py:819, in table_to_blockmanager(options, table, categories, ignore_metadata, types_mapper)
    816     ext_columns_dtypes = _get_extension_dtypes(table, [], types_mapper)
    818 _check_data_column_metadata_consistency(all_columns)
--> 819 columns = _deserialize_column_index(table, all_columns, column_indexes)
    820 blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
    822 axes = [columns, index]

File ~/tmp/.venv/lib/python3.8/site-packages/pyarrow/pandas_compat.py:938, in _deserialize_column_index(block_table, all_columns, column_indexes)
    935     columns = _reconstruct_columns_from_metadata(columns, column_indexes)
    937 # ARROW-1751: flatten a single level column MultiIndex for pandas 0.21.0
--> 938 columns = _flatten_single_level_multiindex(columns)
    940 return columns

File ~/tmp/.venv/lib/python3.8/site-packages/pyarrow/pandas_compat.py:1185, in _flatten_single_level_multiindex(index)
   1183     # Cheaply check that we do not somehow have duplicate column names
   1184     if not index.is_unique:
-> 1185         raise ValueError('Found non-unique column index')
   1187     return pd.Index(
   1188         [levels[_label] if _label != -1 else None for _label in labels],
   1189         dtype=dtype,
   1190         name=index.names[0]
   1191     )
   1192 return index

ValueError: Found non-unique column index

[mroeschke]

Looks to be an upstream issue with pyarrow; the pyarrow read_csv currently doesn't have functionality to handle duplicate column lablels

[tfr2003]

I found 3 things weird when use csv_read with engine = ‘pyarrow'

1- If you use similar name of column; pandas look at them as same like my issue here I have two columns [Created On,Created On.1] !!!

2 - when you concat files together and some files do not have some columns ,concat will goes normal and that column will fill as NAN which is good, but when you active “ pyarrow” it will come up with error massege keep asking about these columns not exists!.

3- it seem dose not work with empty cell as NAN too.!

[mroeschke]

Since this needs fixing upstream, closing