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| 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):
| # GH 42380
| 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)
|
|
