CI: Enable pytest -W:::pandas on some builds (#50354)

Author: mroeschke

.github/workflows/macos-windows.yml

@@ -16,6 +16,7 @@ env:
   PANDAS_CI: 1
   PYTEST_TARGET: pandas
   PATTERN: "not slow and not db and not network and not single_cpu"
+  TEST_ARGS: "-W error:::pandas"
 
 
 permissions:

.github/workflows/ubuntu.yml

@@ -38,6 +38,7 @@ jobs:
           - name: "Minimum Versions"
             env_file: actions-38-minimum_versions.yaml
             pattern: "not slow and not network and not single_cpu"
+            test_args: ""
           - name: "Locale: it_IT"
             env_file: actions-38.yaml
             pattern: "not slow and not network and not single_cpu"
@@ -62,10 +63,12 @@ jobs:
             env_file: actions-310.yaml
             pattern: "not slow and not network and not single_cpu"
             pandas_copy_on_write: "1"
+            test_args: ""
           - name: "Data Manager"
             env_file: actions-38.yaml
             pattern: "not slow and not network and not single_cpu"
             pandas_data_manager: "array"
+            test_args: ""
           - name: "Pypy"
             env_file: actions-pypy-38.yaml
             pattern: "not slow and not network and not single_cpu"
@@ -93,7 +96,7 @@ jobs:
       LC_ALL: ${{ matrix.lc_all || '' }}
       PANDAS_DATA_MANAGER: ${{ matrix.pandas_data_manager || 'block' }}
       PANDAS_COPY_ON_WRITE: ${{ matrix.pandas_copy_on_write || '0' }}
-      TEST_ARGS: ${{ matrix.test_args || '' }}
+      TEST_ARGS: ${{ matrix.test_args || '-W error:::pandas' }}
       PYTEST_WORKERS: ${{ contains(matrix.pattern, 'not single_cpu') && 'auto' || '1' }}
       PYTEST_TARGET: ${{ matrix.pytest_target || 'pandas' }}
       IS_PYPY: ${{ contains(matrix.env_file, 'pypy') }}

pandas/_libs/tslibs/timedeltas.pyx

@@ -1,4 +1,5 @@
 import collections
+import warnings
 
 cimport cython
 from cpython.object cimport (
@@ -1947,9 +1948,13 @@ class Timedelta(_Timedelta):
 
             if other.dtype.kind == "m":
                 # also timedelta-like
-                # TODO: could suppress
-                #  RuntimeWarning: invalid value encountered in floor_divide
-                result = self.asm8 // other
+                with warnings.catch_warnings():
+                    warnings.filterwarnings(
+                        "ignore",
+                        "invalid value encountered in floor_divide",
+                        RuntimeWarning
+                    )
+                    result = self.asm8 // other
                 mask = other.view("i8") == NPY_NAT
                 if mask.any():
                     # We differ from numpy here
@@ -1987,9 +1992,13 @@ class Timedelta(_Timedelta):
 
             if other.dtype.kind == "m":
                 # also timedelta-like
-                # TODO: could suppress
-                #  RuntimeWarning: invalid value encountered in floor_divide
-                result = other // self.asm8
+                with warnings.catch_warnings():
+                    warnings.filterwarnings(
+                        "ignore",
+                        "invalid value encountered in floor_divide",
+                        RuntimeWarning
+                    )
+                    result = other // self.asm8
                 mask = other.view("i8") == NPY_NAT
                 if mask.any():
                     # We differ from numpy here

pandas/core/arrays/masked.py

@@ -727,12 +727,13 @@ def _cmp_method(self, other, op) -> BooleanArray:
             mask = np.ones(self._data.shape, dtype="bool")
         else:
             with warnings.catch_warnings():
-                # numpy may show a FutureWarning:
+                # numpy may show a FutureWarning or DeprecationWarning:
                 #     elementwise comparison failed; returning scalar instead,
                 #     but in the future will perform elementwise comparison
                 # before returning NotImplemented. We fall back to the correct
                 # behavior today, so that should be fine to ignore.
                 warnings.filterwarnings("ignore", "elementwise", FutureWarning)
+                warnings.filterwarnings("ignore", "elementwise", DeprecationWarning)
                 with np.errstate(all="ignore"):
                     method = getattr(self._data, f"__{op.__name__}__")
                     result = method(other)

pandas/tests/frame/indexing/test_indexing.py

@@ -11,6 +11,7 @@
 from pandas._libs import iNaT
 from pandas.errors import (
     InvalidIndexError,
+    PerformanceWarning,
     SettingWithCopyError,
 )
 import pandas.util._test_decorators as td
@@ -1471,7 +1472,8 @@ def test_loc_bool_multiindex(self, dtype, indexer):
             names=["a", "b"],
         )
         df = DataFrame({"c": [1, 2, 3, 4]}, index=midx)
-        result = df.loc[indexer]
+        with tm.maybe_produces_warning(PerformanceWarning, isinstance(indexer, tuple)):
+            result = df.loc[indexer]
         expected = DataFrame(
             {"c": [1, 2]}, index=Index([True, False], name="b", dtype=dtype)
         )

pandas/tests/indexes/datetimes/methods/test_astype.py

@@ -32,7 +32,7 @@ def test_astype(self):
         )
         tm.assert_index_equal(result, expected)
 
-        result = idx.astype(int)
+        result = idx.astype(np.int64)
         expected = Int64Index(
             [1463356800000000000] + [-9223372036854775808] * 3,
             dtype=np.int64,

pandas/tests/io/parser/test_parse_dates.py

@@ -1453,6 +1453,8 @@ def test_parse_date_time(all_parsers, data, kwargs, expected):
 
 
 @xfail_pyarrow
+# From date_parser fallback behavior
+@pytest.mark.filterwarnings("ignore:elementwise comparison:FutureWarning")
 def test_parse_date_fields(all_parsers):
     parser = all_parsers
     data = "year,month,day,a\n2001,01,10,10.\n2001,02,1,11."

pandas/tests/io/pytables/test_round_trip.py

@@ -259,6 +259,7 @@ def test_table_values_dtypes_roundtrip(setup_path):
         tm.assert_series_equal(result, expected)
 
 
+@pytest.mark.filterwarnings("ignore::pandas.errors.PerformanceWarning")
 def test_series(setup_path):
 
     s = tm.makeStringSeries()

pandas/tests/tslibs/test_parsing.py

@@ -182,7 +182,10 @@ def test_parsers_month_freq(date_str, expected):
     ],
 )
 def test_guess_datetime_format_with_parseable_formats(string, fmt):
-    result = parsing.guess_datetime_format(string)
+    with tm.maybe_produces_warning(
+        UserWarning, fmt is not None and re.search(r"%d.*%m", fmt)
+    ):
+        result = parsing.guess_datetime_format(string)
     assert result == fmt