| # |
| # 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.connectutils import ReusedConnectTestCase |
| from pyspark.testing.pandasutils import PandasOnSparkTestUtils, TestUtils |
| |
| |
| class ConnectPlottingTests(PandasOnSparkTestUtils, TestUtils, ReusedConnectTestCase): |
| @property |
| def pdf1(self): |
| return pd.DataFrame( |
| [[1, 2], [4, 5], [7, 8]], |
| index=["cobra", "viper", None], |
| columns=["max_speed", "shield"], |
| ) |
| |
| @property |
| def psdf1(self): |
| return ps.from_pandas(self.pdf1) |
| |
| |
| if __name__ == "__main__": |
| from pyspark.pandas.tests.connect.test_connect_plotting import * # noqa: F401 |
| |
| try: |
| import xmlrunner # type: ignore[import] |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |