| # |
| # 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 FrameEvalMixin: |
| def test_eval(self): |
| pdf = pd.DataFrame({"A": range(1, 6), "B": range(10, 0, -2)}) |
| psdf = ps.from_pandas(pdf) |
| |
| # operation between columns (returns Series) |
| self.assert_eq(pdf.eval("A + B"), psdf.eval("A + B")) |
| self.assert_eq(pdf.eval("A + A"), psdf.eval("A + A")) |
| # assignment (returns DataFrame) |
| self.assert_eq(pdf.eval("C = A + B"), psdf.eval("C = A + B")) |
| self.assert_eq(pdf.eval("A = A + A"), psdf.eval("A = A + A")) |
| # operation between scalars (returns scalar) |
| self.assert_eq(pdf.eval("1 + 1"), psdf.eval("1 + 1")) |
| # complicated operations with assignment |
| self.assert_eq( |
| pdf.eval("B = A + B // (100 + 200) * (500 - B) - 10.5"), |
| psdf.eval("B = A + B // (100 + 200) * (500 - B) - 10.5"), |
| ) |
| |
| # inplace=True (only support for assignment) |
| pdf.eval("C = A + B", inplace=True) |
| psdf.eval("C = A + B", inplace=True) |
| self.assert_eq(pdf, psdf) |
| pser = pdf.A |
| psser = psdf.A |
| pdf.eval("A = B + C", inplace=True) |
| psdf.eval("A = B + C", inplace=True) |
| self.assert_eq(pdf, psdf) |
| self.assert_eq(pser, psser) |
| |
| # doesn't support for multi-index columns |
| columns = pd.MultiIndex.from_tuples([("x", "a"), ("y", "b"), ("z", "c")]) |
| psdf.columns = columns |
| self.assertRaises(TypeError, lambda: psdf.eval("x.a + y.b")) |
| |
| |
| class FrameEvalTests( |
| FrameEvalMixin, |
| PandasOnSparkTestCase, |
| SQLTestUtils, |
| ): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.computation.test_eval 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) |