peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pandas
/tests
/base
/test_transpose.py
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) | |
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) | |