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56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
# Licensed to Elasticsearch B.V. under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch B.V. licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# File called _pytest for PyCharm compatability
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from pandas.testing import assert_series_equal
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from tests.common import TestData
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class TestDataFrameNUnique(TestData):
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def test_flights_nunique(self):
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# Note pandas.nunique fails for dict columns (e.g. DestLocation)
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columns = [
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"AvgTicketPrice",
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"Cancelled",
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"Carrier",
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"Dest",
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"DestAirportID",
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"DestCityName",
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]
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pd_flights = self.pd_flights()[columns]
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ed_flights = self.ed_flights()[columns]
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pd_flights.nunique()
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ed_flights.nunique()
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# TODO - ES is approximate counts so these aren't equal...
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# E[left]: [13059, 2, 4, 156, 156, 143]
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# E[right]: [13132, 2, 4, 156, 156, 143]
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# assert_series_equal(pd_nunique, ed_nunique)
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def test_ecommerce_nunique(self):
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columns = ["customer_first_name", "customer_last_name", "day_of_week_i"]
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pd_ecommerce = self.pd_ecommerce()[columns]
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ed_ecommerce = self.ed_ecommerce()[columns]
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pd_nunique = pd_ecommerce.nunique()
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ed_nunique = ed_ecommerce.nunique()
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assert_series_equal(pd_nunique, ed_nunique)
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