blob: 018930db5b1bdf120f3be704c80efd64b890e610 [file] [log] [blame]
#
# 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
import datetime
import numpy as np
import pandas as pd
from pyspark import pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
class ResampleErrorMixin:
def test_resample_error(self):
psdf = ps.range(10)
with self.assertRaisesRegex(
NotImplementedError, "resample currently works only for DatetimeIndex"
):
psdf.resample("3Y").sum()
with self.assertRaisesRegex(
NotImplementedError, "resample currently works only for DatetimeIndex"
):
psdf.id.resample("3Y").sum()
dates = [
datetime.datetime(2012, 1, 2),
datetime.datetime(2012, 5, 3),
datetime.datetime(2022, 5, 3),
pd.NaT,
]
pdf = pd.DataFrame(np.ones(len(dates)), index=pd.DatetimeIndex(dates), columns=["A"])
psdf = ps.from_pandas(pdf)
with self.assertRaisesRegex(ValueError, "rule code W-SUN is not supported"):
psdf.A.resample("3W").sum()
with self.assertRaisesRegex(ValueError, "rule offset must be positive"):
psdf.A.resample("0D").sum()
with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"):
psdf.A.resample("0Y").sum()
with self.assertRaisesRegex(ValueError, "invalid closed: 'middle'"):
psdf.A.resample("3D", closed="middle").sum()
with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"):
psdf.A.resample("3Y", closed="middle").sum()
with self.assertRaisesRegex(ValueError, "invalid label: 'both'"):
psdf.A.resample("3D", label="both").sum()
with self.assertRaisesRegex(ValueError, "rule code YE-DEC is not supported"):
psdf.A.resample("3Y", label="both").sum()
with self.assertRaisesRegex(
NotImplementedError, "`on` currently works only for TimestampType"
):
psdf.A.resample("2D", on=psdf.A).sum()
with self.assertRaisesRegex(
NotImplementedError, "`on` currently works only for TimestampType"
):
psdf[["A"]].resample("2D", on=psdf.A).sum()
psdf["B"] = ["a", "b", "c", "d"]
with self.assertRaisesRegex(ValueError, "No available aggregation columns!"):
psdf.B.resample("2D").sum()
with self.assertRaisesRegex(ValueError, "No available aggregation columns!"):
psdf[[]].resample("2D").sum()
class ResampleErrorTests(ResampleErrorMixin, PandasOnSparkTestCase, TestUtils):
pass
if __name__ == "__main__":
from pyspark.pandas.tests.resample.test_error import * # noqa: F401
try:
import xmlrunner
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)