Best Python code snippet using pandera_python
test_model.py
Source:test_model.py
...211 return series < 100212 df = pd.DataFrame({2020: [99]})213 assert len(Schema.to_schema().columns[2020].checks) == 2214 assert isinstance(Schema.validate(df, lazy=True), pd.DataFrame)215def test_check_single_column() -> None:216 """Test the behaviour of a check on a single column."""217 class Schema(pa.SchemaModel):218 a: Series[int]219 @pa.check("a")220 def int_column_lt_100(cls, series: pd.Series) -> Iterable[bool]:221 # pylint:disable=no-self-argument222 assert cls is Schema223 return series < 100224 df = pd.DataFrame({"a": [101]})225 schema = Schema.to_schema()226 err_msg = r"Column\s*a\s*int_column_lt_100\s*\[101\]\s*1"227 with pytest.raises(pa.errors.SchemaErrors, match=err_msg):228 schema.validate(df, lazy=True)229def test_check_single_index() -> None:...
test_0074_single_column.py
Source:test_0074_single_column.py
2from unittest import TestCase3from indexdigest.linters import check_single_column4from indexdigest.test import DatabaseTestMixin5class TestSingleColumn(TestCase, DatabaseTestMixin):6 def test_check_single_column(self):7 reports = list(check_single_column(self.connection))8 print(list(map(str, reports)))9 self.assertEqual(len(reports), 1)10 self.assertEqual(str(reports[0]),11 '0074_bag_of_ints: "0074_bag_of_ints" has just a single column')12 self.assertTrue('CREATE TABLE `0074_bag_of_ints` (' in reports[0].context['schema'])...
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