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