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