| # |
| # 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 numpy as np |
| |
| from pyspark import pandas as ps |
| from pyspark.pandas.config import set_option, reset_option, option_context |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| |
| |
| class ReprTestsMixin: |
| max_display_count = 23 |
| |
| @classmethod |
| def setUpClass(cls): |
| super().setUpClass() |
| set_option("display.max_rows", ReprTests.max_display_count) |
| |
| @classmethod |
| def tearDownClass(cls): |
| reset_option("display.max_rows") |
| super().tearDownClass() |
| |
| def test_repr_dataframe(self): |
| psdf = ps.range(ReprTests.max_display_count) |
| self.assertTrue("Showing only the first" not in repr(psdf)) |
| self.assert_eq(repr(psdf), repr(psdf._to_pandas())) |
| |
| psdf = ps.range(ReprTests.max_display_count + 1) |
| self.assertTrue("Showing only the first" in repr(psdf)) |
| self.assertTrue( |
| repr(psdf).startswith(repr(psdf._to_pandas().head(ReprTests.max_display_count))) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psdf = ps.range(ReprTests.max_display_count + 1) |
| self.assert_eq(repr(psdf), repr(psdf._to_pandas())) |
| |
| def test_repr_series(self): |
| psser = ps.range(ReprTests.max_display_count).id |
| self.assertTrue("Showing only the first" not in repr(psser)) |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| psser = ps.range(ReprTests.max_display_count + 1).id |
| self.assertTrue("Showing only the first" in repr(psser)) |
| self.assertTrue( |
| repr(psser).startswith(repr(psser._to_pandas().head(ReprTests.max_display_count))) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psser = ps.range(ReprTests.max_display_count + 1).id |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| psser = ps.range(ReprTests.max_display_count).id.rename() |
| self.assertTrue("Showing only the first" not in repr(psser)) |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| psser = ps.range(ReprTests.max_display_count + 1).id.rename() |
| self.assertTrue("Showing only the first" in repr(psser)) |
| self.assertTrue( |
| repr(psser).startswith(repr(psser._to_pandas().head(ReprTests.max_display_count))) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psser = ps.range(ReprTests.max_display_count + 1).id.rename() |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| psser = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count)] |
| ).to_series() |
| self.assertTrue("Showing only the first" not in repr(psser)) |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| psser = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count + 1)] |
| ).to_series() |
| self.assertTrue("Showing only the first" in repr(psser)) |
| self.assertTrue( |
| repr(psser).startswith(repr(psser._to_pandas().head(ReprTests.max_display_count))) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psser = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count + 1)] |
| ).to_series() |
| self.assert_eq(repr(psser), repr(psser._to_pandas())) |
| |
| def test_repr_indexes(self): |
| psidx = ps.range(ReprTests.max_display_count).index |
| self.assertTrue("Showing only the first" not in repr(psidx)) |
| self.assert_eq(repr(psidx), repr(psidx._to_pandas())) |
| |
| psidx = ps.range(ReprTests.max_display_count + 1).index |
| self.assertTrue("Showing only the first" in repr(psidx)) |
| self.assertTrue( |
| repr(psidx).startswith( |
| repr(psidx._to_pandas().to_series().head(ReprTests.max_display_count).index) |
| ) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psidx = ps.range(ReprTests.max_display_count + 1).index |
| self.assert_eq(repr(psidx), repr(psidx._to_pandas())) |
| |
| psidx = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count)] |
| ) |
| self.assertTrue("Showing only the first" not in repr(psidx)) |
| self.assert_eq(repr(psidx), repr(psidx._to_pandas())) |
| |
| psidx = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count + 1)] |
| ) |
| self.assertTrue("Showing only the first" in repr(psidx)) |
| self.assertTrue( |
| repr(psidx).startswith( |
| repr(psidx._to_pandas().to_frame().head(ReprTests.max_display_count).index) |
| ) |
| ) |
| |
| with option_context("display.max_rows", None): |
| psidx = ps.MultiIndex.from_tuples( |
| [(100 * i, i) for i in range(ReprTests.max_display_count + 1)] |
| ) |
| self.assert_eq(repr(psidx), repr(psidx._to_pandas())) |
| |
| def test_html_repr(self): |
| psdf = ps.range(ReprTests.max_display_count) |
| self.assertTrue("Showing only the first" not in psdf._repr_html_()) |
| self.assertEqual(psdf._repr_html_(), psdf._to_pandas()._repr_html_()) |
| |
| psdf = ps.range(ReprTests.max_display_count + 1) |
| self.assertTrue("Showing only the first" in psdf._repr_html_()) |
| |
| with option_context("display.max_rows", None): |
| psdf = ps.range(ReprTests.max_display_count + 1) |
| self.assertEqual(psdf._repr_html_(), psdf._to_pandas()._repr_html_()) |
| |
| def test_repr_float_index(self): |
| psdf = ps.DataFrame( |
| {"a": np.random.rand(ReprTests.max_display_count)}, |
| index=np.random.rand(ReprTests.max_display_count), |
| ) |
| self.assertTrue("Showing only the first" not in repr(psdf)) |
| self.assert_eq(repr(psdf), repr(psdf._to_pandas())) |
| self.assertTrue("Showing only the first" not in repr(psdf.a)) |
| self.assert_eq(repr(psdf.a), repr(psdf.a._to_pandas())) |
| self.assertTrue("Showing only the first" not in repr(psdf.index)) |
| self.assert_eq(repr(psdf.index), repr(psdf.index._to_pandas())) |
| |
| self.assertTrue("Showing only the first" not in psdf._repr_html_()) |
| self.assertEqual(psdf._repr_html_(), psdf._to_pandas()._repr_html_()) |
| |
| psdf = ps.DataFrame( |
| {"a": np.random.rand(ReprTests.max_display_count + 1)}, |
| index=np.random.rand(ReprTests.max_display_count + 1), |
| ) |
| self.assertTrue("Showing only the first" in repr(psdf)) |
| self.assertTrue("Showing only the first" in repr(psdf.a)) |
| self.assertTrue("Showing only the first" in repr(psdf.index)) |
| self.assertTrue("Showing only the first" in psdf._repr_html_()) |
| |
| |
| class ReprTests(ReprTestsMixin, PandasOnSparkTestCase): |
| pass |
| |
| |
| if __name__ == "__main__": |
| import unittest |
| from pyspark.pandas.tests.test_repr 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) |