| 10 | |
| 11 | class TestDataFramePop: |
| 12 | def test_pop(self, float_frame): |
| 13 | float_frame.columns.name = "baz" |
| 14 | |
| 15 | float_frame.pop("A") |
| 16 | assert "A" not in float_frame |
| 17 | |
| 18 | float_frame["foo"] = "bar" |
| 19 | float_frame.pop("foo") |
| 20 | assert "foo" not in float_frame |
| 21 | assert float_frame.columns.name == "baz" |
| 22 | |
| 23 | # gh-10912: inplace ops cause caching issue |
| 24 | a = DataFrame([[1, 2, 3], [4, 5, 6]], columns=["A", "B", "C"], index=["X", "Y"]) |
| 25 | b = a.pop("B") |
| 26 | b += 1 |
| 27 | |
| 28 | # original frame |
| 29 | expected = DataFrame([[1, 3], [4, 6]], columns=["A", "C"], index=["X", "Y"]) |
| 30 | tm.assert_frame_equal(a, expected) |
| 31 | |
| 32 | # result |
| 33 | expected = Series([2, 5], index=["X", "Y"], name="B") + 1 |
| 34 | tm.assert_series_equal(b, expected) |
| 35 | |
| 36 | def test_pop_non_unique_cols(self): |
| 37 | df = DataFrame({0: [0, 1], 1: [0, 1], 2: [4, 5]}) |