| 12 | |
| 13 | class TestMatmul: |
| 14 | def test_matmul(self): |
| 15 | # matmul test is for GH#10259 |
| 16 | a = Series( |
| 17 | np.random.default_rng(2).standard_normal(4), index=["p", "q", "r", "s"] |
| 18 | ) |
| 19 | b = DataFrame( |
| 20 | np.random.default_rng(2).standard_normal((3, 4)), |
| 21 | index=["1", "2", "3"], |
| 22 | columns=["p", "q", "r", "s"], |
| 23 | ).T |
| 24 | |
| 25 | # Series @ DataFrame -> Series |
| 26 | result = operator.matmul(a, b) |
| 27 | expected = Series(np.dot(a.values, b.values), index=["1", "2", "3"]) |
| 28 | tm.assert_series_equal(result, expected) |
| 29 | |
| 30 | # DataFrame @ Series -> Series |
| 31 | result = operator.matmul(b.T, a) |
| 32 | expected = Series(np.dot(b.T.values, a.T.values), index=["1", "2", "3"]) |
| 33 | tm.assert_series_equal(result, expected) |
| 34 | |
| 35 | # Series @ Series -> scalar |
| 36 | result = operator.matmul(a, a) |
| 37 | expected = np.dot(a.values, a.values) |
| 38 | tm.assert_almost_equal(result, expected) |
| 39 | |
| 40 | # GH#21530 |
| 41 | # vector (1D np.array) @ Series (__rmatmul__) |
| 42 | result = operator.matmul(a.values, a) |
| 43 | expected = np.dot(a.values, a.values) |
| 44 | tm.assert_almost_equal(result, expected) |
| 45 | |
| 46 | # GH#21530 |
| 47 | # vector (1D list) @ Series (__rmatmul__) |
| 48 | result = operator.matmul(a.values.tolist(), a) |
| 49 | expected = np.dot(a.values, a.values) |
| 50 | tm.assert_almost_equal(result, expected) |
| 51 | |
| 52 | # GH#21530 |
| 53 | # matrix (2D np.array) @ Series (__rmatmul__) |
| 54 | result = operator.matmul(b.T.values, a) |
| 55 | expected = np.dot(b.T.values, a.values) |
| 56 | tm.assert_almost_equal(result, expected) |
| 57 | |
| 58 | # GH#21530 |
| 59 | # matrix (2D nested lists) @ Series (__rmatmul__) |
| 60 | result = operator.matmul(b.T.values.tolist(), a) |
| 61 | expected = np.dot(b.T.values, a.values) |
| 62 | tm.assert_almost_equal(result, expected) |
| 63 | |
| 64 | # mixed dtype DataFrame @ Series |
| 65 | a["p"] = int(a.p) |
| 66 | result = operator.matmul(b.T, a) |
| 67 | expected = Series(np.dot(b.T.values, a.T.values), index=["1", "2", "3"]) |
| 68 | tm.assert_series_equal(result, expected) |
| 69 | |
| 70 | # different dtypes DataFrame @ Series |
| 71 | a = a.astype(int) |