def test_drop(self):
t = TypedDfBuilder("a").reserve("column").drop("trash").build()
typ: DfTyping = t.get_typing()
assert typ.columns_to_drop == {"trash"}
df = t.convert(pd.DataFrame([pd.Series(dict(x="x", zz="y"))]))
assert df.column_names() == ["x", "zz"]
df = t.convert(pd.DataFrame([pd.Series(dict(x="x", trash="y"))]))
assert df.column_names() == ["x"]
def test_require_and_reserve_col(self):
t = TypedDfBuilder("a").require("column").reserve("reserved").build()
typ: DfTyping = t.get_typing()
assert typ.required_columns == ["column"]
assert typ.reserved_columns == ["reserved"]
assert typ.required_index_names == []
assert typ.reserved_index_names == []
assert typ.verifications == []
def test_condition(self):
t = TypedDfBuilder("a").verify(always_ok).build()
typ: DfTyping = t.get_typing()
assert typ.required_columns == []
assert typ.required_index_names == []
assert typ.verifications == [always_ok]
TypedDf(pd.DataFrame())
t = TypedDfBuilder("a").verify(always_fail).build()
with pytest.raises(VerificationFailedError):
t.convert(pd.DataFrame())
def test_strict(self):
# strict columns but not index
t = TypedDfBuilder("a").strict(index=False, cols=True).build()
typ: DfTyping = t.get_typing()
assert typ.more_indices_allowed
assert not typ.more_columns_allowed
t.convert(pd.DataFrame([pd.Series(dict(x="x"))]).set_index("x"))
with pytest.raises(UnexpectedColumnError):
t.convert(pd.DataFrame([pd.Series(dict(x="x"))]))
# strict index but not columns
t = TypedDfBuilder("a").strict(True, False).build()
typ: DfTyping = t.get_typing()
assert typ.more_columns_allowed
assert not typ.more_indices_allowed
t.convert(pd.DataFrame([pd.Series(dict(x="x"))]))
with pytest.raises(UnexpectedIndexNameError):
df = PrettyDf(
pd.DataFrame([pd.Series(dict(x="x"))]).set_index("x"))
assert df.index_names() == ["x"]
assert df.column_names() == []
t.convert(df)
# neither strict
t = TypedDfBuilder("a").strict(False, False).build()
t.convert(pd.DataFrame([pd.Series(dict(x="x"))]))