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