| # |
| # 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 unittest |
| |
| import pandas as pd |
| |
| from pyspark import pandas as ps |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| from pyspark.testing.sqlutils import SQLTestUtils |
| |
| |
| class AppendMixin: |
| def test_append(self): |
| # Index |
| pidx = pd.Index(range(10000)) |
| psidx = ps.from_pandas(pidx) |
| |
| self.assert_eq(pidx.append(pidx), psidx.append(psidx)) |
| |
| # Index with name |
| pidx1 = pd.Index(range(10000), name="a") |
| pidx2 = pd.Index(range(10000), name="b") |
| psidx1 = ps.from_pandas(pidx1) |
| psidx2 = ps.from_pandas(pidx2) |
| |
| self.assert_eq(pidx1.append(pidx2), psidx1.append(psidx2)) |
| |
| self.assert_eq(pidx2.append(pidx1), psidx2.append(psidx1)) |
| |
| # Index from DataFrame |
| pdf1 = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=["a", "b", "c"]) |
| pdf2 = pd.DataFrame({"a": [7, 8, 9], "d": [10, 11, None]}, index=["x", "y", "z"]) |
| psdf1 = ps.from_pandas(pdf1) |
| psdf2 = ps.from_pandas(pdf2) |
| |
| pidx1 = pdf1.set_index("a").index |
| pidx2 = pdf2.set_index("d").index |
| psidx1 = psdf1.set_index("a").index |
| psidx2 = psdf2.set_index("d").index |
| |
| self.assert_eq(pidx1.append(pidx2), psidx1.append(psidx2)) |
| |
| self.assert_eq(pidx2.append(pidx1), psidx2.append(psidx1)) |
| |
| # Index from DataFrame with MultiIndex columns |
| pdf1 = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}) |
| pdf2 = pd.DataFrame({"a": [7, 8, 9], "d": [10, 11, 12]}) |
| pdf1.columns = pd.MultiIndex.from_tuples([("a", "x"), ("b", "y")]) |
| pdf2.columns = pd.MultiIndex.from_tuples([("a", "x"), ("d", "y")]) |
| psdf1 = ps.from_pandas(pdf1) |
| psdf2 = ps.from_pandas(pdf2) |
| |
| pidx1 = pdf1.set_index(("a", "x")).index |
| pidx2 = pdf2.set_index(("d", "y")).index |
| psidx1 = psdf1.set_index(("a", "x")).index |
| psidx2 = psdf2.set_index(("d", "y")).index |
| |
| self.assert_eq(pidx1.append(pidx2), psidx1.append(psidx2)) |
| |
| self.assert_eq(pidx2.append(pidx1), psidx2.append(psidx1)) |
| |
| # MultiIndex |
| pmidx = pd.MultiIndex.from_tuples([("a", "x", 1), ("b", "y", 2), ("c", "z", 3)]) |
| psmidx = ps.from_pandas(pmidx) |
| |
| self.assert_eq(pmidx.append(pmidx), psmidx.append(psmidx)) |
| |
| # MultiIndex with names |
| pmidx1 = pd.MultiIndex.from_tuples( |
| [("a", "x", 1), ("b", "y", 2), ("c", "z", 3)], names=["x", "y", "z"] |
| ) |
| pmidx2 = pd.MultiIndex.from_tuples( |
| [("a", "x", 1), ("b", "y", 2), ("c", "z", 3)], names=["p", "q", "r"] |
| ) |
| psmidx1 = ps.from_pandas(pmidx1) |
| psmidx2 = ps.from_pandas(pmidx2) |
| |
| self.assert_eq(pmidx1.append(pmidx2), psmidx1.append(psmidx2)) |
| self.assert_eq(pmidx2.append(pmidx1), psmidx2.append(psmidx1)) |
| self.assert_eq(pmidx1.append(pmidx2).names, psmidx1.append(psmidx2).names) |
| |
| # Index & MultiIndex is currently not supported |
| expected_error_message = r"append\(\) between Index & MultiIndex is currently not supported" |
| with self.assertRaisesRegex(NotImplementedError, expected_error_message): |
| psidx.append(psmidx) |
| with self.assertRaisesRegex(NotImplementedError, expected_error_message): |
| psmidx.append(psidx) |
| |
| # MultiIndexs with different levels is currently not supported |
| psmidx3 = ps.MultiIndex.from_tuples([("a", "x"), ("b", "y"), ("c", "z")]) |
| expected_error_message = ( |
| r"append\(\) between MultiIndexs with different levels is currently not supported" |
| ) |
| with self.assertRaisesRegex(NotImplementedError, expected_error_message): |
| psmidx.append(psmidx3) |
| |
| |
| class AppendTests( |
| AppendMixin, |
| PandasOnSparkTestCase, |
| SQLTestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.indexes.test_append import * # noqa: F401 |
| |
| try: |
| import xmlrunner |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |