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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)
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