Revert "ENH: Add Arrow CSV Reader (#43072)"

This reverts commit 44e8822.

Author: jbrockmendel

asv_bench/benchmarks/io/csv.py

@@ -206,7 +206,7 @@ def time_read_csv(self, bad_date_value):
 class ReadCSVSkipRows(BaseIO):
 
     fname = "__test__.csv"
-    params = ([None, 10000], ["c", "python", "pyarrow"])
+    params = ([None, 10000], ["c", "python"])
     param_names = ["skiprows", "engine"]
 
     def setup(self, skiprows, engine):
@@ -320,7 +320,7 @@ def time_read_csv_python_engine(self, sep, decimal, float_precision):
 
 
 class ReadCSVEngine(StringIORewind):
-    params = ["c", "python", "pyarrow"]
+    params = ["c", "python"]
     param_names = ["engine"]
 
     def setup(self, engine):

doc/source/user_guide/io.rst

@@ -160,15 +160,9 @@ dtype : Type name or dict of column -> type, default ``None``
   (unsupported with ``engine='python'``). Use ``str`` or ``object`` together
   with suitable ``na_values`` settings to preserve and
   not interpret dtype.
-engine : {``'c'``, ``'python'``, ``'pyarrow'``}
-  Parser engine to use. The C and pyarrow engines are faster, while the python engine
-  is currently more feature-complete. Multithreading is currently only supported by
-  the pyarrow engine.
-
-  .. versionadded:: 1.4.0
-
-     The "pyarrow" engine was added as an *experimental* engine, and some features
-     are unsupported, or may not work correctly, with this engine.
+engine : {``'c'``, ``'python'``}
+  Parser engine to use. The C engine is faster while the Python engine is
+  currently more feature-complete.
 converters : dict, default ``None``
   Dict of functions for converting values in certain columns. Keys can either be
   integers or column labels.
@@ -1628,17 +1622,11 @@ Specifying ``iterator=True`` will also return the ``TextFileReader`` object:
 Specifying the parser engine
 ''''''''''''''''''''''''''''
 
-Pandas currently supports three engines, the C engine, the python engine, and an experimental
-pyarrow engine (requires the ``pyarrow`` package). In general, the pyarrow engine is fastest
-on larger workloads and is equivalent in speed to the C engine on most other workloads.
-The python engine tends to be slower than the pyarrow and C engines on most workloads. However,
-the pyarrow engine is much less robust than the C engine, which lacks a few features compared to the
-Python engine.
-
-Where possible, pandas uses the C parser (specified as ``engine='c'``), but it may fall
-back to Python if C-unsupported options are specified.
-
-Currently, options unsupported by the C and pyarrow engines include:
+Under the hood pandas uses a fast and efficient parser implemented in C as well
+as a Python implementation which is currently more feature-complete. Where
+possible pandas uses the C parser (specified as ``engine='c'``), but may fall
+back to Python if C-unsupported options are specified. Currently, C-unsupported
+options include:
 
 * ``sep`` other than a single character (e.g. regex separators)
 * ``skipfooter``
@@ -1647,32 +1635,6 @@ Currently, options unsupported by the C and pyarrow engines include:
 Specifying any of the above options will produce a ``ParserWarning`` unless the
 python engine is selected explicitly using ``engine='python'``.
 
-Options that are unsupported by the pyarrow engine which are not covered by the list above include:
-
-* ``float_precision``
-* ``chunksize``
-* ``comment``
-* ``nrows``
-* ``thousands``
-* ``memory_map``
-* ``dialect``
-* ``warn_bad_lines``
-* ``error_bad_lines``
-* ``on_bad_lines``
-* ``delim_whitespace``
-* ``quoting``
-* ``lineterminator``
-* ``converters``
-* ``decimal``
-* ``iterator``
-* ``dayfirst``
-* ``infer_datetime_format``
-* ``verbose``
-* ``skipinitialspace``
-* ``low_memory``
-
-Specifying these options with ``engine='pyarrow'`` will raise a ``ValueError``.
-
 .. _io.remote:
 
 Reading/writing remote files

doc/source/whatsnew/v1.4.0.rst

@@ -78,13 +78,10 @@ Styler
 
 There are also bug fixes and deprecations listed below.
 
-.. _whatsnew_140.enhancements.pyarrow_csv_engine:
+.. _whatsnew_140.enhancements.enhancement2:
 
-Multithreaded CSV reading with a new CSV Engine based on pyarrow
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-:func:`pandas.read_csv` now accepts ``engine="pyarrow"`` (requires at least ``pyarrow`` 0.17.0) as an argument, allowing for faster csv parsing on multicore machines
-with pyarrow installed. See the :doc:`I/O docs </user_guide/io>` for more info. (:issue:`23697`)
+enhancement2
+^^^^^^^^^^^^
 
 .. _whatsnew_140.enhancements.other: