| # |
| # 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 |
| from pyspark.errors import PySparkValueError |
| from pyspark.sql import Row |
| from pyspark.sql.plot import PySparkSampledPlotBase, PySparkTopNPlotBase |
| from pyspark.testing.sqlutils import ReusedSQLTestCase, have_plotly, plotly_requirement_message |
| |
| |
| @unittest.skipIf(not have_plotly, plotly_requirement_message) |
| class DataFramePlotTestsMixin: |
| def test_backend(self): |
| accessor = self.spark.range(2).plot |
| backend = accessor._get_plot_backend() |
| self.assertEqual(backend.__name__, "pyspark.sql.plot.plotly") |
| |
| with self.assertRaises(PySparkValueError) as pe: |
| accessor._get_plot_backend("matplotlib") |
| |
| self.check_error( |
| exception=pe.exception, |
| errorClass="UNSUPPORTED_PLOT_BACKEND", |
| messageParameters={"backend": "matplotlib", "supported_backends": "plotly"}, |
| ) |
| |
| def test_topn_max_rows(self): |
| with self.sql_conf({"spark.sql.pyspark.plotting.max_rows": "1000"}): |
| self.spark.conf.set("spark.sql.pyspark.plotting.max_rows", "1000") |
| sdf = self.spark.range(2500) |
| pdf = PySparkTopNPlotBase().get_top_n(sdf) |
| self.assertEqual(len(pdf), 1000) |
| |
| def test_sampled_plot_with_max_rows(self): |
| data = [Row(a=i, b=i + 1, c=i + 2, d=i + 3) for i in range(2000)] |
| sdf = self.spark.createDataFrame(data) |
| pdf = PySparkSampledPlotBase().get_sampled(sdf) |
| self.assertEqual(round(len(pdf) / 2000, 1), 0.5) |
| |
| |
| class DataFramePlotTests(DataFramePlotTestsMixin, ReusedSQLTestCase): |
| pass |
| |
| |
| if __name__ == "__main__": |
| from pyspark.sql.tests.plot.test_frame_plot 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) |