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>
318 lines
13 KiB
Python
318 lines
13 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 inspect
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from pyspark import pandas as ps
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from pyspark.pandas.exceptions import PandasNotImplementedError
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from pyspark.pandas.missing.window import (
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MissingPandasLikeExpanding,
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MissingPandasLikeRolling,
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MissingPandasLikeExpandingGroupby,
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MissingPandasLikeRollingGroupby,
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)
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from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
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class ExpandingRollingTest(PandasOnSparkTestCase, TestUtils):
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def test_missing(self):
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psdf = ps.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]})
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# Expanding functions
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missing_functions = inspect.getmembers(MissingPandasLikeExpanding, inspect.isfunction)
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unsupported_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function"
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]
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for name in unsupported_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.expanding(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.expanding(1), name)() # Series
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deprecated_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function"
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]
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for name in deprecated_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.expanding(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.expanding(1), name)() # Series
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# Rolling functions
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missing_functions = inspect.getmembers(MissingPandasLikeRolling, inspect.isfunction)
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unsupported_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function"
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]
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for name in unsupported_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.rolling(1), name)() # Series
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deprecated_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function"
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]
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for name in deprecated_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.rolling(1), name)() # Series
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# Expanding properties
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missing_properties = inspect.getmembers(
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MissingPandasLikeExpanding, lambda o: isinstance(o, property)
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)
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unsupported_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "unsupported_property"
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]
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for name in unsupported_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.expanding(1), name) # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.expanding(1), name) # Series
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deprecated_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "deprecated_property"
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]
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for name in deprecated_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.expanding(1), name) # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.expanding(1), name) # Series
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# Rolling properties
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missing_properties = inspect.getmembers(
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MissingPandasLikeRolling, lambda o: isinstance(o, property)
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)
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unsupported_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "unsupported_property"
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]
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for name in unsupported_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.rolling(1), name)() # Series
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deprecated_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "deprecated_property"
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]
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for name in deprecated_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.rolling(1), name)() # Series
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def test_missing_groupby(self):
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psdf = ps.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]})
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# Expanding functions
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missing_functions = inspect.getmembers(
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MissingPandasLikeExpandingGroupby, inspect.isfunction
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)
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unsupported_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function"
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]
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for name in unsupported_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.groupby("a").expanding(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series
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deprecated_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function"
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]
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for name in deprecated_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.groupby("a").expanding(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series
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# Rolling functions
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missing_functions = inspect.getmembers(MissingPandasLikeRollingGroupby, inspect.isfunction)
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unsupported_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function"
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]
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for name in unsupported_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.groupby("a").rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.groupby(psdf.a).rolling(1), name)() # Series
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deprecated_functions = [
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name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function"
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]
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for name in deprecated_functions:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.rolling(1), name)() # Series
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# Expanding properties
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missing_properties = inspect.getmembers(
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MissingPandasLikeExpandingGroupby, lambda o: isinstance(o, property)
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)
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unsupported_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "unsupported_property"
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]
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for name in unsupported_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.groupby("a").expanding(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.groupby(psdf.a).expanding(1), name)() # Series
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deprecated_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "deprecated_property"
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]
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for name in deprecated_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.expanding(1), name) # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.expanding(1), name) # Series
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# Rolling properties
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missing_properties = inspect.getmembers(
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MissingPandasLikeRollingGroupby, lambda o: isinstance(o, property)
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)
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unsupported_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "unsupported_property"
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]
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for name in unsupported_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.groupby("a").rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError,
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"property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name),
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):
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getattr(psdf.a.groupby(psdf.a).rolling(1), name)() # Series
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deprecated_properties = [
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name
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for (name, type_) in missing_properties
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if type_.fget.__name__ == "deprecated_property"
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]
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for name in deprecated_properties:
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.rolling(1), name)() # Frame
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with self.assertRaisesRegex(
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PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name)
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):
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getattr(psdf.a.rolling(1), name)() # Series
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if __name__ == "__main__":
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import unittest
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from pyspark.pandas.tests.test_window 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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