| import numpy as np |
| import pytest |
|
|
| from pandas import ( |
| CategoricalDtype, |
| DataFrame, |
| ) |
| import pandas._testing as tm |
|
|
|
|
| def test_transpose(index_or_series_obj): |
| obj = index_or_series_obj |
| tm.assert_equal(obj.transpose(), obj) |
|
|
|
|
| def test_transpose_non_default_axes(index_or_series_obj): |
| msg = "the 'axes' parameter is not supported" |
| obj = index_or_series_obj |
| with pytest.raises(ValueError, match=msg): |
| obj.transpose(1) |
| with pytest.raises(ValueError, match=msg): |
| obj.transpose(axes=1) |
|
|
|
|
| def test_numpy_transpose(index_or_series_obj): |
| msg = "the 'axes' parameter is not supported" |
| obj = index_or_series_obj |
| tm.assert_equal(np.transpose(obj), obj) |
|
|
| with pytest.raises(ValueError, match=msg): |
| np.transpose(obj, axes=1) |
|
|
|
|
| @pytest.mark.parametrize( |
| "data, transposed_data, index, columns, dtype", |
| [ |
| ([[1], [2]], [[1, 2]], ["a", "a"], ["b"], int), |
| ([[1], [2]], [[1, 2]], ["a", "a"], ["b"], CategoricalDtype([1, 2])), |
| ([[1, 2]], [[1], [2]], ["b"], ["a", "a"], int), |
| ([[1, 2]], [[1], [2]], ["b"], ["a", "a"], CategoricalDtype([1, 2])), |
| ([[1, 2], [3, 4]], [[1, 3], [2, 4]], ["a", "a"], ["b", "b"], int), |
| ( |
| [[1, 2], [3, 4]], |
| [[1, 3], [2, 4]], |
| ["a", "a"], |
| ["b", "b"], |
| CategoricalDtype([1, 2, 3, 4]), |
| ), |
| ], |
| ) |
| def test_duplicate_labels(data, transposed_data, index, columns, dtype): |
| |
| df = DataFrame(data, index=index, columns=columns, dtype=dtype) |
| result = df.T |
| expected = DataFrame(transposed_data, index=columns, columns=index, dtype=dtype) |
| tm.assert_frame_equal(result, expected) |
|
|