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[SPARK-46513][PS][TESTS] Move
BasicIndexingTests
to `pyspark.pandas…
….tests.indexes.*` ### What changes were proposed in this pull request? Move `BasicIndexingTests` to `pyspark.pandas.tests.indexes.*` ### Why are the changes needed? test code clean up ### Does this PR introduce _any_ user-facing change? no, test-only ### How was this patch tested? ci ### Was this patch authored or co-authored using generative AI tooling? no Closes #44499 from zhengruifeng/ps_test_index_basic. Authored-by: Ruifeng Zheng <[email protected]> Signed-off-by: Hyukjin Kwon <[email protected]>
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171
python/pyspark/pandas/tests/indexes/test_indexing_basic.py
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# | ||
# 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 | ||
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import pandas as pd | ||
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from pyspark import pandas as ps | ||
from pyspark.testing.pandasutils import PandasOnSparkTestCase, compare_both | ||
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class BasicIndexingTestsMixin: | ||
@property | ||
def pdf(self): | ||
return pd.DataFrame( | ||
{"month": [1, 4, 7, 10], "year": [2012, 2014, 2013, 2014], "sale": [55, 40, 84, 31]} | ||
) | ||
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@property | ||
def psdf(self): | ||
return ps.from_pandas(self.pdf) | ||
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@compare_both(almost=False) | ||
def test_indexing(self, df): | ||
df1 = df.set_index("month") | ||
yield df1 | ||
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yield df.set_index("month", drop=False) | ||
yield df.set_index("month", append=True) | ||
yield df.set_index(["year", "month"]) | ||
yield df.set_index(["year", "month"], drop=False) | ||
yield df.set_index(["year", "month"], append=True) | ||
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yield df1.set_index("year", drop=False, append=True) | ||
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df2 = df1.copy() | ||
df2.set_index("year", append=True, inplace=True) | ||
yield df2 | ||
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self.assertRaisesRegex(KeyError, "unknown", lambda: df.set_index("unknown")) | ||
self.assertRaisesRegex(KeyError, "unknown", lambda: df.set_index(["month", "unknown"])) | ||
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for d in [df, df1, df2]: | ||
yield d.reset_index() | ||
yield d.reset_index(drop=True) | ||
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yield df1.reset_index(level=0) | ||
yield df2.reset_index(level=1) | ||
yield df2.reset_index(level=[1, 0]) | ||
yield df1.reset_index(level="month") | ||
yield df2.reset_index(level="year") | ||
yield df2.reset_index(level=["month", "year"]) | ||
yield df2.reset_index(level="month", drop=True) | ||
yield df2.reset_index(level=["month", "year"], drop=True) | ||
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self.assertRaisesRegex( | ||
IndexError, | ||
"Too many levels: Index has only 1 level, not 3", | ||
lambda: df1.reset_index(level=2), | ||
) | ||
self.assertRaisesRegex( | ||
IndexError, | ||
"Too many levels: Index has only 1 level, not 4", | ||
lambda: df1.reset_index(level=[3, 2]), | ||
) | ||
self.assertRaisesRegex(KeyError, "unknown.*month", lambda: df1.reset_index(level="unknown")) | ||
self.assertRaisesRegex( | ||
KeyError, "Level unknown not found", lambda: df2.reset_index(level="unknown") | ||
) | ||
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df3 = df2.copy() | ||
df3.reset_index(inplace=True) | ||
yield df3 | ||
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yield df1.sale.reset_index() | ||
yield df1.sale.reset_index(level=0) | ||
yield df2.sale.reset_index(level=[1, 0]) | ||
yield df1.sale.reset_index(drop=True) | ||
yield df1.sale.reset_index(name="s") | ||
yield df1.sale.reset_index(name="s", drop=True) | ||
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s = df1.sale | ||
self.assertRaisesRegex( | ||
TypeError, | ||
"Cannot reset_index inplace on a Series to create a DataFrame", | ||
lambda: s.reset_index(inplace=True), | ||
) | ||
s.reset_index(drop=True, inplace=True) | ||
yield s | ||
yield df1 | ||
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# multi-index columns | ||
df4 = df.copy() | ||
df4.columns = pd.MultiIndex.from_tuples( | ||
[("cal", "month"), ("cal", "year"), ("num", "sale")] | ||
) | ||
df5 = df4.set_index(("cal", "month")) | ||
yield df5 | ||
yield df4.set_index([("cal", "month"), ("num", "sale")]) | ||
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self.assertRaises(KeyError, lambda: df5.reset_index(level=("cal", "month"))) | ||
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yield df5.reset_index(level=[("cal", "month")]) | ||
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# non-string names | ||
df6 = df.copy() | ||
df6.columns = [10.0, 20.0, 30.0] | ||
df7 = df6.set_index(10.0) | ||
yield df7 | ||
yield df6.set_index([10.0, 30.0]) | ||
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yield df7.reset_index(level=10.0) | ||
yield df7.reset_index(level=[10.0]) | ||
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df8 = df.copy() | ||
df8.columns = pd.MultiIndex.from_tuples([(10, "month"), (10, "year"), (20, "sale")]) | ||
df9 = df8.set_index((10, "month")) | ||
yield df9 | ||
yield df8.set_index([(10, "month"), (20, "sale")]) | ||
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yield df9.reset_index(level=[(10, "month")]) | ||
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def test_from_pandas_with_explicit_index(self): | ||
pdf = self.pdf | ||
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df1 = ps.from_pandas(pdf.set_index("month")) | ||
self.assertPandasEqual(df1._to_pandas(), pdf.set_index("month")) | ||
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df2 = ps.from_pandas(pdf.set_index(["year", "month"])) | ||
self.assertPandasEqual(df2._to_pandas(), pdf.set_index(["year", "month"])) | ||
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def test_limitations(self): | ||
df = self.psdf.set_index("month") | ||
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self.assertRaisesRegex( | ||
ValueError, | ||
"Level should be all int or all string.", | ||
lambda: df.reset_index([1, "month"]), | ||
) | ||
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class BasicIndexingTests( | ||
BasicIndexingTestsMixin, | ||
PandasOnSparkTestCase, | ||
): | ||
pass | ||
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if __name__ == "__main__": | ||
from pyspark.pandas.tests.indexes.test_indexing_basic import * # noqa: F401 | ||
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try: | ||
import xmlrunner | ||
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testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) | ||
except ImportError: | ||
testRunner = None | ||
unittest.main(testRunner=testRunner, verbosity=2) |
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