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- from datetime import datetime
- import numpy as np
- from pandas import Series
- import pandas._testing as tm
- def test_reindex_like(datetime_series):
- other = datetime_series[::2]
- tm.assert_series_equal(
- datetime_series.reindex(other.index), datetime_series.reindex_like(other)
- )
- # GH#7179
- day1 = datetime(2013, 3, 5)
- day2 = datetime(2013, 5, 5)
- day3 = datetime(2014, 3, 5)
- series1 = Series([5, None, None], [day1, day2, day3])
- series2 = Series([None, None], [day1, day3])
- result = series1.reindex_like(series2, method="pad")
- expected = Series([5, np.nan], index=[day1, day3])
- tm.assert_series_equal(result, expected)
- def test_reindex_like_nearest():
- ser = Series(np.arange(10, dtype="int64"))
- target = [0.1, 0.9, 1.5, 2.0]
- other = ser.reindex(target, method="nearest")
- expected = Series(np.around(target).astype("int64"), target)
- result = ser.reindex_like(other, method="nearest")
- tm.assert_series_equal(expected, result)
- result = ser.reindex_like(other, method="nearest", tolerance=1)
- tm.assert_series_equal(expected, result)
- result = ser.reindex_like(other, method="nearest", tolerance=[1, 2, 3, 4])
- tm.assert_series_equal(expected, result)
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