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How to use test_check_groupby method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py

...24    assert isinstance(validated_series, pd.Series)25    # error case26    with pytest.raises(errors.SchemaError):27        schema.validate(pd.Series([1, 2, 3]))28def test_check_groupby() -> None:29    """Tests uses of groupby to specify dependencies between one column and a30    single other column, including error handling."""31    schema = DataFrameSchema(32        columns={33            "col1": Column(34                Int,35                [36                    Check(lambda s: s["foo"] > 10, groupby="col2"),37                    Check(lambda s: s["bar"] < 10, groupby=["col2"]),38                    Check(39                        lambda s: s["foo"] > 10,40                        groupby=lambda df: df.groupby("col2"),41                    ),42                    Check(...

test_utilsbenchmark.py

Source:test_utilsbenchmark.py

...229    append_metrics_scores(df, grpby_i=None, grp=None, act=act, grt=grt, srcs=srcs,230                          mthds=mthds, metrics=metrics, by='source', min_exp=1)231    assert len(df) == 4232    assert df[0][5] < df[1][5]233def test_check_groupby():234    obs = pd.DataFrame([235        ['A1', 'B1', 'C1'],236        ['A1', 'B2', 'C1'],237        ['A1', 'B2', 'C2'],238        ['A2', 'B1', 'C1'],239        ['A2', 'B1', 'C2'],240        ['A2', 'B2', 'C2'],241    ], columns=['A', 'B', 'C'])242    perturb = 'A'243    check_groupby(obs=obs, groupby='A', perturb=perturb, by='experiment')244    with pytest.raises(AssertionError):245        check_groupby(obs=obs, groupby='A', perturb=perturb, by='source')246    with pytest.raises(AssertionError):247        check_groupby(obs=obs, groupby='D', perturb=perturb, by='experiment')...

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