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  #  the Apache License, Version 2.0 (the "License"); you may
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  #  You may obtain a copy of the License at
  #
  # 	http://www.apache.org/licenses/LICENSE-2.0
  #
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  #  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 eland.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)
  