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56 lines
1.7 KiB
56 lines
1.7 KiB
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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# GH 42380
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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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