Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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61 lines
2.0 KiB
61 lines
2.0 KiB
import numpy as np
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import pandas as pd
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import pandas._testing as tm
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class TestSeriesSubclassing:
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def test_indexing_sliced(self):
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s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd"))
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res = s.loc[["a", "b"]]
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exp = tm.SubclassedSeries([1, 2], index=list("ab"))
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tm.assert_series_equal(res, exp)
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res = s.iloc[[2, 3]]
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exp = tm.SubclassedSeries([3, 4], index=list("cd"))
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tm.assert_series_equal(res, exp)
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res = s.loc[["a", "b"]]
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exp = tm.SubclassedSeries([1, 2], index=list("ab"))
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tm.assert_series_equal(res, exp)
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def test_to_frame(self):
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s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd"), name="xxx")
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res = s.to_frame()
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exp = tm.SubclassedDataFrame({"xxx": [1, 2, 3, 4]}, index=list("abcd"))
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tm.assert_frame_equal(res, exp)
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def test_subclass_unstack(self):
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# GH 15564
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s = tm.SubclassedSeries([1, 2, 3, 4], index=[list("aabb"), list("xyxy")])
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res = s.unstack()
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exp = tm.SubclassedDataFrame({"x": [1, 3], "y": [2, 4]}, index=["a", "b"])
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tm.assert_frame_equal(res, exp)
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def test_subclass_empty_repr(self):
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with tm.assert_produces_warning(DeprecationWarning, check_stacklevel=False):
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sub_series = tm.SubclassedSeries()
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assert "SubclassedSeries" in repr(sub_series)
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def test_asof(self):
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N = 3
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rng = pd.date_range("1/1/1990", periods=N, freq="53s")
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s = tm.SubclassedSeries({"A": [np.nan, np.nan, np.nan]}, index=rng)
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result = s.asof(rng[-2:])
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assert isinstance(result, tm.SubclassedSeries)
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def test_explode(self):
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s = tm.SubclassedSeries([[1, 2, 3], "foo", [], [3, 4]])
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result = s.explode()
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assert isinstance(result, tm.SubclassedSeries)
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def test_equals(self):
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# https://github.com/pandas-dev/pandas/pull/34402
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# allow subclass in both directions
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s1 = pd.Series([1, 2, 3])
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s2 = tm.SubclassedSeries([1, 2, 3])
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assert s1.equals(s2)
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assert s2.equals(s1)
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