TST: Make read_csv tests pyarrow 13 compatable on 2.1.x (#55855)

* TST: Make read_csv tests pyarrow 13 compatable on 2.1.x

* Skip on windows for ARROW_TIMEZONE_DATABASE

pandas/tests/interchange/test_impl.py

@@ -4,6 +4,10 @@
 import pytest
 
 from pandas._libs.tslibs import iNaT
+from pandas.compat import (
+    is_ci_environment,
+    is_platform_windows,
+)
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -309,11 +313,21 @@ def test_datetimetzdtype(tz, unit):
     tm.assert_frame_equal(df, from_dataframe(df.__dataframe__()))
 
 
-def test_interchange_from_non_pandas_tz_aware():
+def test_interchange_from_non_pandas_tz_aware(request):
     # GH 54239, 54287
     pa = pytest.importorskip("pyarrow", "11.0.0")
     import pyarrow.compute as pc
 
+    if is_platform_windows() and is_ci_environment():
+        mark = pytest.mark.xfail(
+            raises=pa.ArrowInvalid,
+            reason=(
+                "TODO: Set ARROW_TIMEZONE_DATABASE environment variable "
+                "on CI to path to the tzdata for pyarrow."
+            ),
+        )
+        request.node.add_marker(mark)
+
     arr = pa.array([datetime(2020, 1, 1), None, datetime(2020, 1, 2)])
     arr = pc.assume_timezone(arr, "Asia/Kathmandu")
     table = pa.table({"arr": arr})

pandas/tests/io/parser/common/test_common_basic.py

@@ -86,7 +86,9 @@ def test_read_csv_local(all_parsers, csv1):
 
     fname = prefix + str(os.path.abspath(csv1))
     result = parser.read_csv(fname, index_col=0, parse_dates=True)
-
+    # TODO: make unit check more specific
+    if parser.engine == "pyarrow":
+        result.index = result.index.as_unit("ns")
     expected = DataFrame(
         [
             [0.980269, 3.685731, -0.364216805298, -1.159738],
@@ -177,7 +179,9 @@ def test_read_csv_low_memory_no_rows_with_index(all_parsers):
 def test_read_csv_dataframe(all_parsers, csv1):
     parser = all_parsers
     result = parser.read_csv(csv1, index_col=0, parse_dates=True)
-
+    # TODO: make unit check more specific
+    if parser.engine == "pyarrow":
+        result.index = result.index.as_unit("ns")
     expected = DataFrame(
         [
             [0.980269, 3.685731, -0.364216805298, -1.159738],

pandas/tests/io/parser/test_parse_dates.py

@@ -979,12 +979,15 @@ def test_parse_dates_custom_euro_format(all_parsers, kwargs):
             )
 
 
-def test_parse_tz_aware(all_parsers, request):
+def test_parse_tz_aware(all_parsers):
     # See gh-1693
     parser = all_parsers
     data = "Date,x\n2012-06-13T01:39:00Z,0.5"
 
     result = parser.read_csv(StringIO(data), index_col=0, parse_dates=True)
+    # TODO: make unit check more specific
+    if parser.engine == "pyarrow":
+        result.index = result.index.as_unit("ns")
     expected = DataFrame(
         {"x": [0.5]}, index=Index([Timestamp("2012-06-13 01:39:00+00:00")], name="Date")
     )
@@ -2231,6 +2234,9 @@ def test_parse_dates_arrow_engine(all_parsers):
 2000-01-01 00:00:01,1"""
 
     result = parser.read_csv(StringIO(data), parse_dates=["a"])
+    # TODO: make unit check more specific
+    if parser.engine == "pyarrow":
+        result["a"] = result["a"].dt.as_unit("ns")
     expected = DataFrame(
         {
             "a": [