"""
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Tests for np.foo applied to Series, not necessarily ufuncs.
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"""
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import numpy as np
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import pytest
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import pandas.util._test_decorators as td
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from pandas import Series
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import pandas._testing as tm
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class TestPtp:
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def test_ptp(self):
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# GH#21614
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N = 1000
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arr = np.random.default_rng(2).standard_normal(N)
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ser = Series(arr)
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assert np.ptp(ser) == np.ptp(arr)
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def test_numpy_unique(datetime_series):
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# it works!
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np.unique(datetime_series)
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@pytest.mark.parametrize("index", [["a", "b", "c", "d", "e"], None])
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def test_numpy_argwhere(index):
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# GH#35331
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s = Series(range(5), index=index, dtype=np.int64)
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result = np.argwhere(s > 2).astype(np.int64)
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expected = np.array([[3], [4]], dtype=np.int64)
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tm.assert_numpy_array_equal(result, expected)
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@td.skip_if_no("pyarrow")
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def test_log_arrow_backed_missing_value():
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# GH#56285
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ser = Series([1, 2, None], dtype="float64[pyarrow]")
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result = np.log(ser)
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expected = np.log(Series([1, 2, None], dtype="float64"))
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tm.assert_series_equal(result, expected)
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