GH-51301: Fix deprecation warnings in the tests with numpy/pandas nightly

python/pyarrow/tests/test_array.py

@@ -36,6 +36,7 @@
 import pyarrow as pa
 import pyarrow.tests.strategies as past
 import pyarrow.compute as pc
+from pyarrow.vendored.version import Version
 
 
 @pytest.mark.processes
@@ -2737,6 +2738,8 @@ def test_array_from_list_of_timestamps(unit):
 
 @pytest.mark.numpy
 def test_array_from_timestamp_with_generic_unit():
+    if Version(np.__version__) >= Version("2.5.0"):
+        pytest.skip("generic units of timedelta64 deprecated")
     n = np.datetime64('NaT')
     x = np.datetime64('2017-01-01 01:01:01.111111111')
     y = np.datetime64('2018-11-22 12:24:48.111111111')
@@ -2778,11 +2781,13 @@ def test_array_from_numpy_timedelta(dtype, type):
 @pytest.mark.numpy
 def test_array_from_numpy_timedelta_incorrect_unit():
     # generic (no unit)
-    td = np.timedelta64(1)
+    if Version(np.__version__) < Version("2.5.0"):
+        # Generic units of timedelta64 deprecated in NumPy 2.5
+        td = np.timedelta64(1)
 
-    for data in [[td], np.array([td])]:
-        with pytest.raises(NotImplementedError):
-            pa.array(data)
+        for data in [[td], np.array([td])]:
+            with pytest.raises(NotImplementedError):
+                pa.array(data)
 
     # unsupported unit
     td = np.timedelta64(1, 'M')

python/pyarrow/tests/test_compute.py

@@ -2656,8 +2656,8 @@ def _check_datetime_components(timestamps, timezone=None):
     year = ts.dt.year.astype("int64")
     month = ts.dt.month.astype("int64")
     day = ts.dt.day.astype("int64")
-    dayofweek = ts.dt.dayofweek.astype("int64")
-    dayofyear = ts.dt.dayofyear.astype("int64")
+    dayofweek = ts.dt.day_of_week.astype("int64")
+    dayofyear = ts.dt.day_of_year.astype("int64")
     quarter = ts.dt.quarter.astype("int64")
     hour = ts.dt.hour.astype("int64")
     minute = ts.dt.minute.astype("int64")
@@ -2980,7 +2980,7 @@ def test_round_temporal(unit):
     if sys.platform == "win32":
         timestamps = timestamps[:3] + timestamps[5:]
 
-    ts = pd.Series([pd.Timestamp(x, unit="ns") for x in timestamps])
+    ts = pd.Series([pd.Timestamp(x).as_unit("ns") for x in timestamps])
     _check_temporal_rounding(ts, values, unit)
 
     timezones = ["Asia/Kolkata", "America/New_York", "Etc/GMT-4", "Etc/GMT+4",

python/pyarrow/tests/test_dataset.py

@@ -240,7 +240,7 @@ def multisourcefs(request):
 
     # create one with schema partitioning by weekday and color
     mockfs.create_dir('schema')
-    for part, chunk in df_b.groupby([df_b.date.dt.dayofweek, df_b.color]):
+    for part, chunk in df_b.groupby([df_b.date.dt.day_of_week, df_b.color]):
         folder = f'schema/{part[0]}/{part[1]}'
         path = f'{folder}/chunk.parquet'
         mockfs.create_dir(folder)

python/pyarrow/tests/test_pandas.py

@@ -99,8 +99,8 @@ def _alltypes_example(size=100):
 
 def _check_pandas_roundtrip(df, expected=None, use_threads=False,
                             expected_schema=None,
-                            check_dtype=True, schema=None,
-                            preserve_index=False,
+                            check_dtype=True, check_freq=True,
+                            schema=None, preserve_index=False,
                             as_batch=False):
     klass = pa.RecordBatch if as_batch else pa.Table
     table = klass.from_pandas(df, schema=schema,
@@ -125,7 +125,8 @@ def _check_pandas_roundtrip(df, expected=None, use_threads=False,
             "ignore", "elementwise comparison failed", DeprecationWarning)
         tm.assert_frame_equal(result, expected, check_dtype=check_dtype,
                               check_index_type=('equiv' if preserve_index
-                                                else False))
+                                                else False),
+                              check_freq=check_freq)
 
 
 def _check_series_roundtrip(s, type_=None, expected_pa_type=None):
@@ -223,7 +224,7 @@ def test_column_index_names_datetime(self, tz):
             np.random.randn(5, 3),
             columns=pd.date_range("2021-01-01", periods=3, freq="50D", tz=tz)
         )
-        _check_pandas_roundtrip(df, preserve_index=True)
+        _check_pandas_roundtrip(df, preserve_index=True, check_freq=False)
 
     def test_column_index_names_with_decimal(self):
         # GH-41503: Test valid roundtrip with decimal value in column index
@@ -5016,7 +5017,7 @@ def test_does_not_mutate_timedelta_dtype():
 
     assert np.dtype(np.timedelta64) == expected
 
-    df = pd.DataFrame({"a": [np.timedelta64()]})
+    df = pd.DataFrame({"a": [np.timedelta64(0, "s")]})
     t = pa.Table.from_pandas(df)
     t.to_pandas()