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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 numpy as np
import pandas as pd
from pyspark import pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase
class GetDummiesObjectMixin:
def test_get_dummies_object(self):
pdf = pd.DataFrame(
{
"a": [1, 2, 3, 4, 4, 3, 2, 1],
# 'a': pd.Categorical([1, 2, 3, 4, 4, 3, 2, 1]),
"b": list("abcdabcd"),
# 'c': pd.Categorical(list('abcdabcd')),
"c": list("abcdabcd"),
}
)
psdf = ps.from_pandas(pdf)
# Explicitly exclude object columns
self.assert_eq(
ps.get_dummies(psdf, columns=["a", "c"]),
pd.get_dummies(pdf, columns=["a", "c"], dtype=np.int8),
)
self.assert_eq(ps.get_dummies(psdf), pd.get_dummies(pdf, dtype=np.int8))
self.assert_eq(ps.get_dummies(psdf.b), pd.get_dummies(pdf.b, dtype=np.int8))
self.assert_eq(
ps.get_dummies(psdf, columns=["b"]), pd.get_dummies(pdf, columns=["b"], dtype=np.int8)
)
self.assertRaises(KeyError, lambda: ps.get_dummies(psdf, columns=("a", "c")))
self.assertRaises(TypeError, lambda: ps.get_dummies(psdf, columns="b"))
# non-string names
pdf = pd.DataFrame(
{10: [1, 2, 3, 4, 4, 3, 2, 1], 20: list("abcdabcd"), 30: list("abcdabcd")}
)
psdf = ps.from_pandas(pdf)
self.assert_eq(
ps.get_dummies(psdf, columns=[10, 30]),
pd.get_dummies(pdf, columns=[10, 30], dtype=np.int8),
)
self.assertRaises(TypeError, lambda: ps.get_dummies(psdf, columns=10))
class GetDummiesObjectTests(
GetDummiesObjectMixin,
PandasOnSparkTestCase,
):
pass
if __name__ == "__main__":
import unittest
from pyspark.pandas.tests.reshape.test_get_dummies_object 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)