50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
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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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DataFrame,
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MultiIndex,
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Series,
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concat,
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)
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import pandas._testing as tm
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@pytest.mark.parametrize(
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"ops, names",
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[
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([np.sqrt], ["sqrt"]),
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([np.abs, np.sqrt], ["absolute", "sqrt"]),
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(np.array([np.sqrt]), ["sqrt"]),
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(np.array([np.abs, np.sqrt]), ["absolute", "sqrt"]),
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],
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)
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def test_transform_listlike(string_series, ops, names):
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# GH 35964
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with np.errstate(all="ignore"):
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expected = concat([op(string_series) for op in ops], axis=1)
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expected.columns = names
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result = string_series.transform(ops)
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tm.assert_frame_equal(result, expected)
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@pytest.mark.parametrize("box", [dict, Series])
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def test_transform_dictlike(string_series, box):
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# GH 35964
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with np.errstate(all="ignore"):
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expected = concat([np.sqrt(string_series), np.abs(string_series)], axis=1)
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expected.columns = ["foo", "bar"]
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result = string_series.transform(box({"foo": np.sqrt, "bar": np.abs}))
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tm.assert_frame_equal(result, expected)
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def test_transform_dictlike_mixed():
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# GH 40018 - mix of lists and non-lists in values of a dictionary
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df = Series([1, 4])
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result = df.transform({"b": ["sqrt", "abs"], "c": "sqrt"})
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expected = DataFrame(
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[[1.0, 1, 1.0], [2.0, 4, 2.0]],
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columns=MultiIndex([("b", "c"), ("sqrt", "abs")], [(0, 0, 1), (0, 1, 0)]),
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)
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tm.assert_frame_equal(result, expected)
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