# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import pyarrow as pa import pytest from datafusion import SessionContext @pytest.fixture def df(): ctx = SessionContext() # create a RecordBatch and a new DataFrame from it batch = pa.RecordBatch.from_arrays( [pa.array([1, 2, 3]), pa.array([4, 4, 6])], names=["a", "b"], ) return ctx.create_dataframe([[batch]]) def test_indexing(df): assert df["a"] is not None assert df["a", "b"] is not None assert df[("a", "b")] is not None assert df[["a"]] is not None def test_err(df): with pytest.raises(Exception) as e_info: df["c"] for e in ["Schema error", "No field named c"]: assert e in e_info.value.args[0] with pytest.raises(Exception) as e_info: df[1] assert ( "DataFrame can only be indexed by string index or indices" in e_info.value.args[0] )