From 09a46f55cff59bcd5e636379381846084a244d8f Mon Sep 17 00:00:00 2001 From: Jeff Reback Date: Thu, 29 Mar 2018 06:13:42 -0400 Subject: [PATCH] COMPAT: 32-bit compat for testing xref #20502 --- pandas/tests/test_algos.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py index ada4f880e92a4..8a8a6f7de70d7 100644 --- a/pandas/tests/test_algos.py +++ b/pandas/tests/test_algos.py @@ -266,7 +266,7 @@ def test_parametrized_factorize_na_value_default(self, data): # arrays that include the NA default for that type, but isn't used. l, u = algos.factorize(data) expected_uniques = data[[0, 1]] - expected_labels = np.array([0, 1, 0], dtype='i8') + expected_labels = np.array([0, 1, 0], dtype=np.intp) tm.assert_numpy_array_equal(l, expected_labels) tm.assert_numpy_array_equal(u, expected_uniques) @@ -283,7 +283,7 @@ def test_parametrized_factorize_na_value_default(self, data): def test_parametrized_factorize_na_value(self, data, na_value): l, u = algos._factorize_array(data, na_value=na_value) expected_uniques = data[[1, 3]] - expected_labels = np.array([-1, 0, -1, 1], dtype='i8') + expected_labels = np.array([-1, 0, -1, 1], dtype=np.intp) tm.assert_numpy_array_equal(l, expected_labels) tm.assert_numpy_array_equal(u, expected_uniques)