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47 lines
1.3 KiB
47 lines
1.3 KiB
import numpy as np
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import pytest
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import pandas as pd
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import pandas._testing as tm
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class TestCombine:
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@pytest.mark.parametrize(
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"data",
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[
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pd.date_range("2000", periods=4),
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pd.date_range("2000", periods=4, tz="US/Central"),
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pd.period_range("2000", periods=4),
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pd.timedelta_range(0, periods=4),
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],
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)
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def test_combine_datetlike_udf(self, data):
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# GH#23079
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df = pd.DataFrame({"A": data})
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other = df.copy()
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df.iloc[1, 0] = None
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def combiner(a, b):
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return b
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result = df.combine(other, combiner)
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tm.assert_frame_equal(result, other)
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def test_combine_generic(self, float_frame):
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df1 = float_frame
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df2 = float_frame.loc[float_frame.index[:-5], ["A", "B", "C"]]
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combined = df1.combine(df2, np.add)
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combined2 = df2.combine(df1, np.add)
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assert combined["D"].isna().all()
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assert combined2["D"].isna().all()
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chunk = combined.loc[combined.index[:-5], ["A", "B", "C"]]
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chunk2 = combined2.loc[combined2.index[:-5], ["A", "B", "C"]]
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exp = (
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float_frame.loc[float_frame.index[:-5], ["A", "B", "C"]].reindex_like(chunk)
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* 2
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)
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tm.assert_frame_equal(chunk, exp)
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tm.assert_frame_equal(chunk2, exp)
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