done

lib/python3.11/site-packages/pandas/tests/series/test_npfuncs.py

@@ -0,0 +1,46 @@
+"""
+Tests for np.foo applied to Series, not necessarily ufuncs.
+"""
+
+import numpy as np
+import pytest
+
+import pandas.util._test_decorators as td
+
+from pandas import Series
+import pandas._testing as tm
+
+
+class TestPtp:
+    def test_ptp(self):
+        # GH#21614
+        N = 1000
+        arr = np.random.default_rng(2).standard_normal(N)
+        ser = Series(arr)
+        assert np.ptp(ser) == np.ptp(arr)
+
+
+def test_numpy_unique(datetime_series):
+    # it works!
+    np.unique(datetime_series)
+
+
+@pytest.mark.parametrize("index", [["a", "b", "c", "d", "e"], None])
+def test_numpy_argwhere(index):
+    # GH#35331
+
+    s = Series(range(5), index=index, dtype=np.int64)
+
+    result = np.argwhere(s > 2).astype(np.int64)
+    expected = np.array([[3], [4]], dtype=np.int64)
+
+    tm.assert_numpy_array_equal(result, expected)
+
+
+@td.skip_if_no("pyarrow")
+def test_log_arrow_backed_missing_value():
+    # GH#56285
+    ser = Series([1, 2, None], dtype="float64[pyarrow]")
+    result = np.log(ser)
+    expected = np.log(Series([1, 2, None], dtype="float64"))
+    tm.assert_series_equal(result, expected)