4fcbf59079
### What changes were proposed in this pull request? Removes PySpark version dependent codes from pyspark.pandas test codes. ### Why are the changes needed? There are several places to check the PySpark version and switch the logic, but now those are not necessary. We should remove them. We will do the same thing after we finish porting tests. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing tests. Closes #32300 from xinrong-databricks/port.rmv_spark_version_chk_in_tests. Authored-by: Xinrong Meng <xinrong.meng@databricks.com> Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
186 lines
7.6 KiB
Python
186 lines
7.6 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import numpy as np
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from pyspark import pandas as ps
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from pyspark.pandas.config import set_option, reset_option, option_context
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from pyspark.testing.pandasutils import PandasOnSparkTestCase
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class ReprTest(PandasOnSparkTestCase):
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max_display_count = 23
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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set_option("display.max_rows", ReprTest.max_display_count)
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@classmethod
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def tearDownClass(cls):
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reset_option("display.max_rows")
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super().tearDownClass()
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def test_repr_dataframe(self):
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kdf = ps.range(ReprTest.max_display_count)
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self.assertTrue("Showing only the first" not in repr(kdf))
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self.assert_eq(repr(kdf), repr(kdf.to_pandas()))
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kdf = ps.range(ReprTest.max_display_count + 1)
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self.assertTrue("Showing only the first" in repr(kdf))
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self.assertTrue(
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repr(kdf).startswith(repr(kdf.to_pandas().head(ReprTest.max_display_count)))
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)
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with option_context("display.max_rows", None):
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kdf = ps.range(ReprTest.max_display_count + 1)
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self.assert_eq(repr(kdf), repr(kdf.to_pandas()))
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def test_repr_series(self):
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kser = ps.range(ReprTest.max_display_count).id
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self.assertTrue("Showing only the first" not in repr(kser))
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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kser = ps.range(ReprTest.max_display_count + 1).id
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self.assertTrue("Showing only the first" in repr(kser))
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self.assertTrue(
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repr(kser).startswith(repr(kser.to_pandas().head(ReprTest.max_display_count)))
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)
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with option_context("display.max_rows", None):
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kser = ps.range(ReprTest.max_display_count + 1).id
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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kser = ps.range(ReprTest.max_display_count).id.rename()
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self.assertTrue("Showing only the first" not in repr(kser))
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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kser = ps.range(ReprTest.max_display_count + 1).id.rename()
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self.assertTrue("Showing only the first" in repr(kser))
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self.assertTrue(
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repr(kser).startswith(repr(kser.to_pandas().head(ReprTest.max_display_count)))
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)
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with option_context("display.max_rows", None):
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kser = ps.range(ReprTest.max_display_count + 1).id.rename()
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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kser = ps.MultiIndex.from_tuples(
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[(100 * i, i) for i in range(ReprTest.max_display_count)]
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).to_series()
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self.assertTrue("Showing only the first" not in repr(kser))
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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kser = ps.MultiIndex.from_tuples(
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[(100 * i, i) for i in range(ReprTest.max_display_count + 1)]
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).to_series()
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self.assertTrue("Showing only the first" in repr(kser))
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self.assertTrue(
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repr(kser).startswith(repr(kser.to_pandas().head(ReprTest.max_display_count)))
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)
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with option_context("display.max_rows", None):
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kser = ps.MultiIndex.from_tuples(
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[(100 * i, i) for i in range(ReprTest.max_display_count + 1)]
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).to_series()
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self.assert_eq(repr(kser), repr(kser.to_pandas()))
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def test_repr_indexes(self):
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kidx = ps.range(ReprTest.max_display_count).index
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self.assertTrue("Showing only the first" not in repr(kidx))
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self.assert_eq(repr(kidx), repr(kidx.to_pandas()))
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kidx = ps.range(ReprTest.max_display_count + 1).index
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self.assertTrue("Showing only the first" in repr(kidx))
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self.assertTrue(
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repr(kidx).startswith(
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repr(kidx.to_pandas().to_series().head(ReprTest.max_display_count).index)
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)
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)
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with option_context("display.max_rows", None):
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kidx = ps.range(ReprTest.max_display_count + 1).index
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self.assert_eq(repr(kidx), repr(kidx.to_pandas()))
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kidx = ps.MultiIndex.from_tuples([(100 * i, i) for i in range(ReprTest.max_display_count)])
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self.assertTrue("Showing only the first" not in repr(kidx))
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self.assert_eq(repr(kidx), repr(kidx.to_pandas()))
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kidx = ps.MultiIndex.from_tuples(
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[(100 * i, i) for i in range(ReprTest.max_display_count + 1)]
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)
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self.assertTrue("Showing only the first" in repr(kidx))
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self.assertTrue(
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repr(kidx).startswith(
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repr(kidx.to_pandas().to_frame().head(ReprTest.max_display_count).index)
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)
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)
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with option_context("display.max_rows", None):
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kidx = ps.MultiIndex.from_tuples(
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[(100 * i, i) for i in range(ReprTest.max_display_count + 1)]
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)
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self.assert_eq(repr(kidx), repr(kidx.to_pandas()))
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def test_html_repr(self):
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kdf = ps.range(ReprTest.max_display_count)
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self.assertTrue("Showing only the first" not in kdf._repr_html_())
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self.assertEqual(kdf._repr_html_(), kdf.to_pandas()._repr_html_())
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kdf = ps.range(ReprTest.max_display_count + 1)
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self.assertTrue("Showing only the first" in kdf._repr_html_())
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with option_context("display.max_rows", None):
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kdf = ps.range(ReprTest.max_display_count + 1)
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self.assertEqual(kdf._repr_html_(), kdf.to_pandas()._repr_html_())
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def test_repr_float_index(self):
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kdf = ps.DataFrame(
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{"a": np.random.rand(ReprTest.max_display_count)},
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index=np.random.rand(ReprTest.max_display_count),
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)
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self.assertTrue("Showing only the first" not in repr(kdf))
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self.assert_eq(repr(kdf), repr(kdf.to_pandas()))
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self.assertTrue("Showing only the first" not in repr(kdf.a))
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self.assert_eq(repr(kdf.a), repr(kdf.a.to_pandas()))
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self.assertTrue("Showing only the first" not in repr(kdf.index))
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self.assert_eq(repr(kdf.index), repr(kdf.index.to_pandas()))
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self.assertTrue("Showing only the first" not in kdf._repr_html_())
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self.assertEqual(kdf._repr_html_(), kdf.to_pandas()._repr_html_())
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kdf = ps.DataFrame(
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{"a": np.random.rand(ReprTest.max_display_count + 1)},
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index=np.random.rand(ReprTest.max_display_count + 1),
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)
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self.assertTrue("Showing only the first" in repr(kdf))
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self.assertTrue("Showing only the first" in repr(kdf.a))
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self.assertTrue("Showing only the first" in repr(kdf.index))
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self.assertTrue("Showing only the first" in kdf._repr_html_())
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if __name__ == "__main__":
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import unittest
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from pyspark.pandas.tests.test_repr import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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