How to use init_schema_no_groupby_column method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py Github

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...225 ):226 init_schema_element_wise()227 # raise errors.SchemaInitError even when the schema doesn't specify column228 # key for groupby column229 def init_schema_no_groupby_column():230 DataFrameSchema(231 {232 "col1": Column(233 Int,234 [235 Check(lambda s: s["foo"] > 10, groupby=["col2"]),236 ],237 ),238 }239 )240 with pytest.raises(errors.SchemaInitError):241 init_schema_no_groupby_column()242 # can't use groupby argument in SeriesSchema or Index objects243 for schema_class in [SeriesSchema, Index]:244 with pytest.raises(245 errors.SchemaInitError, match="^Cannot use groupby checks with"246 ):247 schema_class(Int, Check(lambda s: s["bar"] == 1, groupby="foo"))248def test_dataframe_checks() -> None:249 """Tests that dataframe checks validate, error when a DataFrame doesn't250 comply with the schema, simple tests of the groupby checks which are251 covered in more detail above."""252 schema = DataFrameSchema(253 columns={254 "col1": Column(Int),255 "col2": Column(Float),...

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