eland/tests/dataframe/test_nunique_pytest.py
2020-11-16 11:30:41 -06:00

56 lines
1.9 KiB
Python

# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. 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.
# File called _pytest for PyCharm compatability
from pandas.testing import assert_series_equal
from tests.common import TestData
class TestDataFrameNUnique(TestData):
def test_flights_nunique(self):
# Note pandas.nunique fails for dict columns (e.g. DestLocation)
columns = [
"AvgTicketPrice",
"Cancelled",
"Carrier",
"Dest",
"DestAirportID",
"DestCityName",
]
pd_flights = self.pd_flights()[columns]
ed_flights = self.ed_flights()[columns]
pd_flights.nunique()
ed_flights.nunique()
# TODO - ES is approximate counts so these aren't equal...
# E[left]: [13059, 2, 4, 156, 156, 143]
# E[right]: [13132, 2, 4, 156, 156, 143]
# assert_series_equal(pd_nunique, ed_nunique)
def test_ecommerce_nunique(self):
columns = ["customer_first_name", "customer_last_name", "day_of_week_i"]
pd_ecommerce = self.pd_ecommerce()[columns]
ed_ecommerce = self.ed_ecommerce()[columns]
pd_nunique = pd_ecommerce.nunique()
ed_nunique = ed_ecommerce.nunique()
assert_series_equal(pd_nunique, ed_nunique)