38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
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import pytest
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import pandas as pd
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from pandas.tests.extension.base.base import BaseExtensionTests
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class BaseAccumulateTests(BaseExtensionTests):
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"""
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Accumulation specific tests. Generally these only
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make sense for numeric/boolean operations.
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"""
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def check_accumulate(self, s, op_name, skipna):
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result = getattr(s, op_name)(skipna=skipna)
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if result.dtype == pd.Float32Dtype() and op_name == "cumprod" and skipna:
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pytest.skip(
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f"Float32 precision lead to large differences with op {op_name} "
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f"and skipna={skipna}"
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)
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expected = getattr(s.astype("float64"), op_name)(skipna=skipna)
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self.assert_series_equal(result, expected, check_dtype=False)
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@pytest.mark.parametrize("skipna", [True, False])
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def test_accumulate_series_raises(self, data, all_numeric_accumulations, skipna):
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op_name = all_numeric_accumulations
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ser = pd.Series(data)
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with pytest.raises(NotImplementedError):
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getattr(ser, op_name)(skipna=skipna)
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@pytest.mark.parametrize("skipna", [True, False])
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def test_accumulate_series(self, data, all_numeric_accumulations, skipna):
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op_name = all_numeric_accumulations
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ser = pd.Series(data)
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self.check_accumulate(ser, op_name, skipna)
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