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- import numpy as np
- import pytest
- import pandas as pd
- from pandas import Series
- import pandas._testing as tm
- class TestSeriesRound:
- def test_round(self, datetime_series):
- datetime_series.index.name = "index_name"
- result = datetime_series.round(2)
- expected = Series(
- np.round(datetime_series.values, 2), index=datetime_series.index, name="ts"
- )
- tm.assert_series_equal(result, expected)
- assert result.name == datetime_series.name
- def test_round_numpy(self, any_float_dtype):
- # See GH#12600
- ser = Series([1.53, 1.36, 0.06], dtype=any_float_dtype)
- out = np.round(ser, decimals=0)
- expected = Series([2.0, 1.0, 0.0], dtype=any_float_dtype)
- tm.assert_series_equal(out, expected)
- msg = "the 'out' parameter is not supported"
- with pytest.raises(ValueError, match=msg):
- np.round(ser, decimals=0, out=ser)
- def test_round_numpy_with_nan(self, any_float_dtype):
- # See GH#14197
- ser = Series([1.53, np.nan, 0.06], dtype=any_float_dtype)
- with tm.assert_produces_warning(None):
- result = ser.round()
- expected = Series([2.0, np.nan, 0.0], dtype=any_float_dtype)
- tm.assert_series_equal(result, expected)
- def test_round_builtin(self, any_float_dtype):
- ser = Series(
- [1.123, 2.123, 3.123],
- index=range(3),
- dtype=any_float_dtype,
- )
- result = round(ser)
- expected_rounded0 = Series(
- [1.0, 2.0, 3.0], index=range(3), dtype=any_float_dtype
- )
- tm.assert_series_equal(result, expected_rounded0)
- decimals = 2
- expected_rounded = Series(
- [1.12, 2.12, 3.12], index=range(3), dtype=any_float_dtype
- )
- result = round(ser, decimals)
- tm.assert_series_equal(result, expected_rounded)
- @pytest.mark.parametrize("method", ["round", "floor", "ceil"])
- @pytest.mark.parametrize("freq", ["s", "5s", "min", "5min", "h", "5h"])
- def test_round_nat(self, method, freq):
- # GH14940
- ser = Series([pd.NaT])
- expected = Series(pd.NaT)
- round_method = getattr(ser.dt, method)
- tm.assert_series_equal(round_method(freq), expected)
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