# 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. import pandas as pd from tests.common import TestData, assert_series_equal class TestSeriesDescribe(TestData): def test_series_describe(self): ed_df = self.ed_flights_small() pd_df = self.pd_flights_small() ed_desc = ed_df.AvgTicketPrice.describe() pd_desc = pd_df.AvgTicketPrice.describe() assert isinstance(ed_desc, pd.Series) assert ed_desc.shape == pd_desc.shape assert ed_desc.dtype == pd_desc.dtype assert ed_desc.index.equals(pd_desc.index) # Percentiles calculations vary for Elasticsearch assert_series_equal( ed_desc[["count", "mean", "std", "min", "max"]], pd_desc[["count", "mean", "std", "min", "max"]], rtol=0.2, )