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