| # 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 datafusion |
| |
| |
| # create a context |
| ctx = datafusion.SessionContext() |
| |
| # create a new datafusion DataFrame |
| df = ctx.from_pydict({"a": [1, 2, 3], "b": [4, 5, 6]}) |
| # Dataframe: |
| # +---+---+ |
| # | a | b | |
| # +---+---+ |
| # | 1 | 4 | |
| # | 2 | 5 | |
| # | 3 | 6 | |
| # +---+---+ |
| |
| # export to pandas dataframe |
| pandas_df = df.to_pandas() |
| assert pandas_df.shape == (3, 2) |
| |
| # export to PyArrow table |
| arrow_table = df.to_arrow_table() |
| assert arrow_table.shape == (3, 2) |
| |
| # export to Polars dataframe |
| polars_df = df.to_polars() |
| assert polars_df.shape == (3, 2) |
| |
| # export to Python list of rows |
| pylist = df.to_pylist() |
| assert pylist == [{"a": 1, "b": 4}, {"a": 2, "b": 5}, {"a": 3, "b": 6}] |
| |
| # export to Pyton dictionary of columns |
| pydict = df.to_pydict() |
| assert pydict == {"a": [1, 2, 3], "b": [4, 5, 6]} |
