74 lines
3.1 KiB
Python
74 lines
3.1 KiB
Python
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import pytest
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import pandas.util._test_decorators as td
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from pandas import (
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DataFrame,
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Series,
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)
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import pandas._testing as tm
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@td.skip_if_no("numba")
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@pytest.mark.filterwarnings("ignore")
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# Filter warnings when parallel=True and the function can't be parallelized by Numba
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class TestEngine:
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def test_cython_vs_numba_frame(
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self, sort, nogil, parallel, nopython, numba_supported_reductions
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):
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func, kwargs = numba_supported_reductions
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df = DataFrame({"a": [3, 2, 3, 2], "b": range(4), "c": range(1, 5)})
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engine_kwargs = {"nogil": nogil, "parallel": parallel, "nopython": nopython}
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gb = df.groupby("a", sort=sort)
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result = getattr(gb, func)(
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engine="numba", engine_kwargs=engine_kwargs, **kwargs
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)
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expected = getattr(gb, func)(**kwargs)
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# check_dtype can be removed if GH 44952 is addressed
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check_dtype = func not in ("sum", "min", "max")
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tm.assert_frame_equal(result, expected, check_dtype=check_dtype)
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def test_cython_vs_numba_getitem(
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self, sort, nogil, parallel, nopython, numba_supported_reductions
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):
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func, kwargs = numba_supported_reductions
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df = DataFrame({"a": [3, 2, 3, 2], "b": range(4), "c": range(1, 5)})
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engine_kwargs = {"nogil": nogil, "parallel": parallel, "nopython": nopython}
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gb = df.groupby("a", sort=sort)["c"]
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result = getattr(gb, func)(
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engine="numba", engine_kwargs=engine_kwargs, **kwargs
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)
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expected = getattr(gb, func)(**kwargs)
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# check_dtype can be removed if GH 44952 is addressed
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check_dtype = func not in ("sum", "min", "max")
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tm.assert_series_equal(result, expected, check_dtype=check_dtype)
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def test_cython_vs_numba_series(
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self, sort, nogil, parallel, nopython, numba_supported_reductions
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):
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func, kwargs = numba_supported_reductions
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ser = Series(range(3), index=[1, 2, 1], name="foo")
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engine_kwargs = {"nogil": nogil, "parallel": parallel, "nopython": nopython}
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gb = ser.groupby(level=0, sort=sort)
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result = getattr(gb, func)(
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engine="numba", engine_kwargs=engine_kwargs, **kwargs
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)
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expected = getattr(gb, func)(**kwargs)
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# check_dtype can be removed if GH 44952 is addressed
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check_dtype = func not in ("sum", "min", "max")
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tm.assert_series_equal(result, expected, check_dtype=check_dtype)
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def test_as_index_false_unsupported(self, numba_supported_reductions):
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func, kwargs = numba_supported_reductions
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df = DataFrame({"a": [3, 2, 3, 2], "b": range(4), "c": range(1, 5)})
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gb = df.groupby("a", as_index=False)
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with pytest.raises(NotImplementedError, match="as_index=False"):
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getattr(gb, func)(engine="numba", **kwargs)
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def test_axis_1_unsupported(self, numba_supported_reductions):
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func, kwargs = numba_supported_reductions
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df = DataFrame({"a": [3, 2, 3, 2], "b": range(4), "c": range(1, 5)})
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gb = df.groupby("a", axis=1)
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with pytest.raises(NotImplementedError, match="axis=1"):
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getattr(gb, func)(engine="numba", **kwargs)
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