From da7735da470fa1c232408f79ab92f02e6be4000d Mon Sep 17 00:00:00 2001
From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Date: Tue, 17 Oct 2023 12:29:37 -1000
Subject: [PATCH] Backport PR #55565: TST: Remove np.core usage

---
 pandas/tests/frame/constructors/test_from_records.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pandas/tests/frame/constructors/test_from_records.py b/pandas/tests/frame/constructors/test_from_records.py
index 55d4a6c3b39fa..bb4aed2163dac 100644
--- a/pandas/tests/frame/constructors/test_from_records.py
+++ b/pandas/tests/frame/constructors/test_from_records.py
@@ -42,7 +42,7 @@ def test_from_records_with_datetimes(self):
         arrdata = [np.array([datetime(2005, 3, 1, 0, 0), None])]
         dtypes = [("EXPIRY", "<M8[ns]")]
 
-        recarray = np.core.records.fromarrays(arrdata, dtype=dtypes)
+        recarray = np.rec.fromarrays(arrdata, dtype=dtypes)
 
         result = DataFrame.from_records(recarray)
         tm.assert_frame_equal(result, expected)
@@ -50,7 +50,7 @@ def test_from_records_with_datetimes(self):
         # coercion should work too
         arrdata = [np.array([datetime(2005, 3, 1, 0, 0), None])]
         dtypes = [("EXPIRY", "<M8[m]")]
-        recarray = np.core.records.fromarrays(arrdata, dtype=dtypes)
+        recarray = np.rec.fromarrays(arrdata, dtype=dtypes)
         result = DataFrame.from_records(recarray)
         # we get the closest supported unit, "s"
         expected["EXPIRY"] = expected["EXPIRY"].astype("M8[s]")