MAINT: Protect agaisnt fugure changes in NumPy

Avoid dtypes in arrays

Author: bashtage

pandas/tests/series/methods/test_reset_index.py

@@ -126,7 +126,6 @@ def test_reset_index_dtypes_on_empty_series_with_multiindex(array, dtype):
     # GH 19602 - Preserve dtype on empty Series with MultiIndex
     idx = MultiIndex.from_product([[0, 1], [0.5, 1.0], array])
     result = Series(dtype=object, index=idx)[:0].reset_index().dtypes
-    expected = Series(
-        {"level_0": np.int64, "level_1": np.float64, "level_2": dtype, 0: object}
-    )
+    expected = Series(index=["level_0", "level_1", "level_2", 0], dtype="object")
+    expected.loc[:] = [np.int64, np.float64, dtype, object]
     tm.assert_series_equal(result, expected)

pandas/tests/window/test_ewm.py

@@ -108,7 +108,7 @@ def test_ewma_halflife_without_times(halflife_with_times):
 @pytest.mark.parametrize("min_periods", [0, 2])
 def test_ewma_with_times_equal_spacing(halflife_with_times, times, min_periods):
     halflife = halflife_with_times
-    data = np.arange(10)
+    data = np.arange(10.)
     data[::2] = np.nan
     df = DataFrame({"A": data, "time_col": date_range("2000", freq="D", periods=10)})
     result = df.ewm(halflife=halflife, min_periods=min_periods, times=times).mean()