6b912e4179
### What changes were proposed in this pull request? There are still naming related to Koalas in test and function name. This PR addressed them to fit pandas-on-spark. - kdf -> psdf - kser -> psser - kidx -> psidx - kmidx -> psmidx - to_koalas() -> to_pandas_on_spark() ### Why are the changes needed? This is because the name Koalas is no longer used in PySpark. ### Does this PR introduce _any_ user-facing change? `to_koalas()` function is renamed to `to_pandas_on_spark()` ### How was this patch tested? Tested in local manually. After changing the related naming, I checked them one by one. Closes #32516 from itholic/SPARK-35364. Authored-by: itholic <haejoon.lee@databricks.com> Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
187 lines
7.6 KiB
Python
187 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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psdf = ps.range(ReprTest.max_display_count)
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self.assertTrue("Showing only the first" not in repr(psdf))
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self.assert_eq(repr(psdf), repr(psdf.to_pandas()))
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psdf = ps.range(ReprTest.max_display_count + 1)
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self.assertTrue("Showing only the first" in repr(psdf))
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self.assertTrue(
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repr(psdf).startswith(repr(psdf.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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psdf = ps.range(ReprTest.max_display_count + 1)
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self.assert_eq(repr(psdf), repr(psdf.to_pandas()))
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def test_repr_series(self):
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psser = ps.range(ReprTest.max_display_count).id
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self.assertTrue("Showing only the first" not in repr(psser))
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self.assert_eq(repr(psser), repr(psser.to_pandas()))
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psser = ps.range(ReprTest.max_display_count + 1).id
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self.assertTrue("Showing only the first" in repr(psser))
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self.assertTrue(
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repr(psser).startswith(repr(psser.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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psser = ps.range(ReprTest.max_display_count + 1).id
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self.assert_eq(repr(psser), repr(psser.to_pandas()))
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psser = ps.range(ReprTest.max_display_count).id.rename()
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self.assertTrue("Showing only the first" not in repr(psser))
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self.assert_eq(repr(psser), repr(psser.to_pandas()))
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psser = ps.range(ReprTest.max_display_count + 1).id.rename()
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self.assertTrue("Showing only the first" in repr(psser))
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self.assertTrue(
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repr(psser).startswith(repr(psser.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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psser = ps.range(ReprTest.max_display_count + 1).id.rename()
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self.assert_eq(repr(psser), repr(psser.to_pandas()))
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psser = 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(psser))
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self.assert_eq(repr(psser), repr(psser.to_pandas()))
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psser = 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(psser))
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self.assertTrue(
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repr(psser).startswith(repr(psser.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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psser = 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(psser), repr(psser.to_pandas()))
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def test_repr_indexes(self):
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psidx = ps.range(ReprTest.max_display_count).index
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self.assertTrue("Showing only the first" not in repr(psidx))
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self.assert_eq(repr(psidx), repr(psidx.to_pandas()))
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psidx = ps.range(ReprTest.max_display_count + 1).index
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self.assertTrue("Showing only the first" in repr(psidx))
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self.assertTrue(
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repr(psidx).startswith(
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repr(psidx.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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psidx = ps.range(ReprTest.max_display_count + 1).index
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self.assert_eq(repr(psidx), repr(psidx.to_pandas()))
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psidx = 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(psidx))
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self.assert_eq(repr(psidx), repr(psidx.to_pandas()))
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psidx = 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(psidx))
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self.assertTrue(
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repr(psidx).startswith(
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repr(psidx.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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psidx = 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(psidx), repr(psidx.to_pandas()))
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def test_html_repr(self):
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psdf = ps.range(ReprTest.max_display_count)
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self.assertTrue("Showing only the first" not in psdf._repr_html_())
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self.assertEqual(psdf._repr_html_(), psdf.to_pandas()._repr_html_())
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psdf = ps.range(ReprTest.max_display_count + 1)
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self.assertTrue("Showing only the first" in psdf._repr_html_())
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with option_context("display.max_rows", None):
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psdf = ps.range(ReprTest.max_display_count + 1)
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self.assertEqual(psdf._repr_html_(), psdf.to_pandas()._repr_html_())
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def test_repr_float_index(self):
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psdf = 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(psdf))
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self.assert_eq(repr(psdf), repr(psdf.to_pandas()))
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self.assertTrue("Showing only the first" not in repr(psdf.a))
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self.assert_eq(repr(psdf.a), repr(psdf.a.to_pandas()))
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self.assertTrue("Showing only the first" not in repr(psdf.index))
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self.assert_eq(repr(psdf.index), repr(psdf.index.to_pandas()))
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self.assertTrue("Showing only the first" not in psdf._repr_html_())
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self.assertEqual(psdf._repr_html_(), psdf.to_pandas()._repr_html_())
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psdf = 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(psdf))
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self.assertTrue("Showing only the first" in repr(psdf.a))
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self.assertTrue("Showing only the first" in repr(psdf.index))
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self.assertTrue("Showing only the first" in psdf._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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