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54 lines
2.1 KiB
Python
54 lines
2.1 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_frame_equal
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from tests.common import TestData
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class TestDataFrameDescribe(TestData):
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def test_flights_describe(self):
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pd_flights = self.pd_flights()
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ed_flights = self.ed_flights()
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pd_describe = pd_flights.describe()
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ed_describe = ed_flights.describe()
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assert_frame_equal(
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pd_describe.drop(["25%", "50%", "75%"], axis="index"),
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ed_describe.drop(["25%", "50%", "75%"], axis="index"),
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check_exact=False,
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check_less_precise=True,
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)
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# TODO - this fails for percentile fields as ES aggregations are approximate
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# if ES percentile agg uses
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# "hdr": {
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# "number_of_significant_value_digits": 3
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# }
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# this works
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# pd_ecommerce_describe = self.pd_ecommerce().describe()
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# ed_ecommerce_describe = self.ed_ecommerce().describe()
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# We don't compare ecommerce here as the default dtypes in pandas from read_json
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# don't match the mapping types. This is mainly because the products field is
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# nested and so can be treated as a multi-field in ES, but not in pandas
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# We can not also run 'describe' on a truncate ed dataframe
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