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>
77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
#
|
|
# 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 pandas as pd
|
|
from pyspark.sql.utils import AnalysisException
|
|
from pyspark.sql import functions as F
|
|
|
|
from pyspark import pandas as ps
|
|
from pyspark.testing.pandasutils import PandasOnSparkTestCase
|
|
from pyspark.testing.sqlutils import SQLTestUtils
|
|
|
|
|
|
class SparkIndexOpsMethodsTest(PandasOnSparkTestCase, SQLTestUtils):
|
|
@property
|
|
def pser(self):
|
|
return pd.Series([1, 2, 3, 4, 5, 6, 7], name="x")
|
|
|
|
@property
|
|
def psser(self):
|
|
return ps.from_pandas(self.pser)
|
|
|
|
def test_series_transform_negative(self):
|
|
with self.assertRaisesRegex(
|
|
ValueError, "The output of the function.* pyspark.sql.Column.*int"
|
|
):
|
|
self.psser.spark.transform(lambda scol: 1)
|
|
|
|
with self.assertRaisesRegex(AnalysisException, "cannot resolve.*non-existent.*"):
|
|
self.psser.spark.transform(lambda scol: F.col("non-existent"))
|
|
|
|
def test_multiindex_transform_negative(self):
|
|
with self.assertRaisesRegex(
|
|
NotImplementedError, "MultiIndex does not support spark.transform yet"
|
|
):
|
|
midx = pd.MultiIndex(
|
|
[["lama", "cow", "falcon"], ["speed", "weight", "length"]],
|
|
[[0, 0, 0, 1, 1, 1, 2, 2, 2], [1, 1, 1, 1, 1, 2, 1, 2, 2]],
|
|
)
|
|
s = ps.Series([45, 200, 1.2, 30, 250, 1.5, 320, 1, 0.3], index=midx)
|
|
s.index.spark.transform(lambda scol: scol)
|
|
|
|
def test_series_apply_negative(self):
|
|
with self.assertRaisesRegex(
|
|
ValueError, "The output of the function.* pyspark.sql.Column.*int"
|
|
):
|
|
self.psser.spark.apply(lambda scol: 1)
|
|
|
|
with self.assertRaisesRegex(AnalysisException, "cannot resolve.*non-existent.*"):
|
|
self.psser.spark.transform(lambda scol: F.col("non-existent"))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import unittest
|
|
from pyspark.pandas.tests.test_indexops_spark import * # noqa: F401
|
|
|
|
try:
|
|
import xmlrunner # type: ignore[import]
|
|
|
|
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
|
|
except ImportError:
|
|
testRunner = None
|
|
unittest.main(testRunner=testRunner, verbosity=2)
|