BUG: GH38801 avoid attribute error with pyarrow >=0.16.0 and <1.0.0

update pyarrow

Update ci/deps/actions-37-locale.yaml

Co-authored-by: Joris Van den Bossche <[email protected]>

fixup

Author: ADraginda

ci/deps/actions-37-locale.yaml

@@ -30,7 +30,7 @@ dependencies:
   - openpyxl
   - pandas-gbq
   - google-cloud-bigquery>=1.27.2 # GH 36436
-  - pyarrow>=0.17
+  - pyarrow=0.17 # GH 38803
   - pytables>=3.5.1
   - scipy
   - xarray=0.12.3

pandas/core/arrays/string_arrow.py

@@ -36,14 +36,20 @@
     except ImportError:
         pass
     else:
-        ARROW_CMP_FUNCS = {
-            "eq": pc.equal,
-            "ne": pc.not_equal,
-            "lt": pc.less,
-            "gt": pc.greater,
-            "le": pc.less_equal,
-            "ge": pc.greater_equal,
-        }
+        # pyarrow 0.16.0 adds a compute module (thus the above compute import
+        # will work) but the attributes below are not available until pyarrow
+        # 1.0.0 resulting in an Attribute Error with pyarrow (0.16.0, 1.0.0].
+        try:
+            ARROW_CMP_FUNCS = {
+                "eq": pc.equal,
+                "ne": pc.not_equal,
+                "lt": pc.less,
+                "gt": pc.greater,
+                "le": pc.less_equal,
+                "ge": pc.greater_equal,
+            }
+        except AttributeError:
+            pass
 
 
 if TYPE_CHECKING:

pandas/tests/io/test_parquet.py

@@ -896,7 +896,7 @@ def test_timezone_aware_index(self, pa, timezone_aware_date_list):
         # this use-case sets the resolution to 1 minute
         check_round_trip(df, pa, check_dtype=False)
 
-    @td.skip_if_no("pyarrow", min_version="0.17")
+    @td.skip_if_no("pyarrow", min_version="1.0.0")
     def test_filter_row_groups(self, pa):
         # https://github.com/pandas-dev/pandas/issues/26551
         df = pd.DataFrame({"a": list(range(0, 3))})