diff --git a/pandas/tests/extension/test_interval.py b/pandas/tests/extension/test_interval.py index ec979ac6d22dc..011bf0b2016b2 100644 --- a/pandas/tests/extension/test_interval.py +++ b/pandas/tests/extension/test_interval.py @@ -101,6 +101,31 @@ def test_fillna_limit_series(self, data_missing): def test_fillna_length_mismatch(self, data_missing): super().test_fillna_length_mismatch(data_missing) + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) + def test_hash_pandas_object(self, data): + super().test_hash_pandas_object(data) + + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) + def test_hash_pandas_object_works(self, data, as_frame): + super().test_hash_pandas_object_works(data, as_frame) + + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) + @pytest.mark.parametrize("engine", ["c", "python"]) + def test_EA_types(self, engine, data, request): + super().test_EA_types(engine, data, request) + + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) + def test_astype_str(self, data): + super().test_astype_str(data) + # TODO: either belongs in tests.arrays.interval or move into base tests. def test_fillna_non_scalar_raises(data_missing): diff --git a/pandas/tests/frame/methods/test_to_numpy.py b/pandas/tests/frame/methods/test_to_numpy.py index d38bc06260a0e..36088cceb13f1 100644 --- a/pandas/tests/frame/methods/test_to_numpy.py +++ b/pandas/tests/frame/methods/test_to_numpy.py @@ -1,4 +1,5 @@ import numpy as np +import pytest from pandas import ( DataFrame, @@ -31,6 +32,9 @@ def test_to_numpy_copy(self): # and that can be respected because we are already numpy-float assert df.to_numpy(copy=False).base is df.values.base + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) def test_to_numpy_mixed_dtype_to_str(self): # https://github.com/pandas-dev/pandas/issues/35455 df = DataFrame([[Timestamp("2020-01-01 00:00:00"), 100.0]]) diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py index 3d8213cb3d11a..9b6080603f0c9 100644 --- a/pandas/tests/frame/test_constructors.py +++ b/pandas/tests/frame/test_constructors.py @@ -2404,6 +2404,9 @@ def test_construct_with_two_categoricalindex_series(self): ) tm.assert_frame_equal(result, expected) + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) def test_constructor_series_nonexact_categoricalindex(self): # GH 42424 ser = Series(range(100)) diff --git a/pandas/tests/indexes/interval/test_astype.py b/pandas/tests/indexes/interval/test_astype.py index 59c555b9644a1..dde5f38074efb 100644 --- a/pandas/tests/indexes/interval/test_astype.py +++ b/pandas/tests/indexes/interval/test_astype.py @@ -186,6 +186,12 @@ def test_subtype_datetimelike(self, index, subtype): with pytest.raises(TypeError, match=msg): index.astype(dtype) + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) + def test_astype_category(self, index): + super().test_astype_category(index) + class TestDatetimelikeSubtype(AstypeTests): """Tests specific to IntervalIndex with datetime-like subtype""" diff --git a/pandas/tests/indexes/interval/test_formats.py b/pandas/tests/indexes/interval/test_formats.py index f858ae137ca4e..73bbfc91028b3 100644 --- a/pandas/tests/indexes/interval/test_formats.py +++ b/pandas/tests/indexes/interval/test_formats.py @@ -59,6 +59,9 @@ def test_repr_floats(self): expected = "(329.973, 345.137] 1\n(345.137, 360.191] 2\ndtype: int64" assert result == expected + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) @pytest.mark.parametrize( "tuples, closed, expected_data", [ diff --git a/pandas/tests/indexes/interval/test_indexing.py b/pandas/tests/indexes/interval/test_indexing.py index 787461b944bd0..5783a16e81d37 100644 --- a/pandas/tests/indexes/interval/test_indexing.py +++ b/pandas/tests/indexes/interval/test_indexing.py @@ -340,6 +340,9 @@ def test_get_indexer_categorical(self, target, ordered): expected = index.get_indexer(target) tm.assert_numpy_array_equal(result, expected) + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) def test_get_indexer_categorical_with_nans(self): # GH#41934 nans in both index and in target ii = IntervalIndex.from_breaks(range(5)) diff --git a/pandas/tests/indexes/test_setops.py b/pandas/tests/indexes/test_setops.py index 5f934ca3e6e83..58b69d79c65ce 100644 --- a/pandas/tests/indexes/test_setops.py +++ b/pandas/tests/indexes/test_setops.py @@ -525,6 +525,7 @@ def test_intersection_difference_match_empty(self, index, sort): tm.assert_index_equal(inter, diff, exact=True) +@pytest.mark.filterwarnings("ignore:invalid value encountered in cast:RuntimeWarning") @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning") @pytest.mark.parametrize( "method", ["intersection", "union", "difference", "symmetric_difference"] diff --git a/pandas/tests/io/excel/test_writers.py b/pandas/tests/io/excel/test_writers.py index 18948de72200a..ced4feb9e7eb9 100644 --- a/pandas/tests/io/excel/test_writers.py +++ b/pandas/tests/io/excel/test_writers.py @@ -800,6 +800,9 @@ def test_excel_date_datetime_format(self, ext, tmp_excel, tmp_path): # we need to use df_expected to check the result. tm.assert_frame_equal(rs2, df_expected) + @pytest.mark.filterwarnings( + "ignore:invalid value encountered in cast:RuntimeWarning" + ) def test_to_excel_interval_no_labels(self, tmp_excel, using_infer_string): # see gh-19242 # diff --git a/pandas/tests/reshape/test_cut.py b/pandas/tests/reshape/test_cut.py index d8bb4fba1e1fe..63332fe4658e5 100644 --- a/pandas/tests/reshape/test_cut.py +++ b/pandas/tests/reshape/test_cut.py @@ -733,6 +733,7 @@ def test_cut_with_duplicated_index_lowest_included(): tm.assert_series_equal(result, expected) +@pytest.mark.filterwarnings("ignore:invalid value encountered in cast:RuntimeWarning") def test_cut_with_nonexact_categorical_indices(): # GH 42424