mirror of
https://github.com/elastic/eland.git
synced 2025-07-11 00:02:14 +08:00
75c57b0775
* Fix test setup to match pandas 2.0 demands * Use the now deprecated _append method (Better solution might exist) * Deal with numeric_only being removed in metrics test * Skip mad metric for other pandas versions * Account for differences between pandas versions in describe methods * Run black * Check Pandas version first * Mirror behaviour of installed Pandas version when running value_counts * Allow passing arguments to the individual asserters * Fix for method _construct_axes_from_arguments no longer existing * Skip mad metric if it does not exist * Account for pandas 2.0 timestamp default behaviour * Deal with empty vs other inferred data types * Account for default datetime precision change * Run Black * Solution for differences in inferred_type only * Fix csv and json issues * Skip two doctests * Passing a set as indexer is no longer allowed * Don't validate output where it differs between Pandas versions in the environment * Update test matrix and packaging metadata * Update version of Python in the docs * Update Python version in demo notebook * Match noxfile * Symmetry * Fix trailing comma in JSON * Revert some changes in setup.py to fix building the documentation * Revert "Revert some changes in setup.py to fix building the documentation" This reverts commit ea9879753129d8d8390b3cbbce57155a8b4fb346. * Use PANDAS_VERSION from eland.common * Still skip the doctest, but make the output pandas 2 instead of 1 * Still skip doctest, but switch to pandas 2 output * Prepare for pandas 3 * Reference the right column * Ignore output in tests but switch to pandas 2 output * Add line comment about NBVAL_IGNORE_OUTPUT * Restore missing line and add stderr cell * Use non-private method instead * Fix indentation and parameter issues * If index is not specified, and pandas 1 is present, set it to True From pandas 2 and upwards, index is set to None by default * Run black * Newer version of black might have different opinions? * Add line comment * Remove unused import * Add reason for ignore statement * Add reason for skip --------- Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co>
121 lines
4.2 KiB
Python
121 lines
4.2 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 tests.common import TestData, assert_pandas_eland_frame_equal
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class TestDataFrameHeadTail(TestData):
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def test_head(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_head_10 = ed_flights.head(10)
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pd_head_10 = pd_flights.head(10)
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assert_pandas_eland_frame_equal(pd_head_10, ed_head_10)
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ed_head_8 = ed_head_10.head(8)
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pd_head_8 = pd_head_10.head(8)
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assert_pandas_eland_frame_equal(pd_head_8, ed_head_8)
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ed_head_20 = ed_head_10.head(20)
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pd_head_20 = pd_head_10.head(20)
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assert_pandas_eland_frame_equal(pd_head_20, ed_head_20)
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def test_tail(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_tail_10 = ed_flights.tail(10)
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pd_tail_10 = pd_flights.tail(10)
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assert_pandas_eland_frame_equal(pd_tail_10, ed_tail_10)
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ed_tail_8 = ed_tail_10.tail(8)
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pd_tail_8 = pd_tail_10.tail(8)
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assert_pandas_eland_frame_equal(pd_tail_8, ed_tail_8)
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ed_tail_20 = ed_tail_10.tail(20)
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pd_tail_20 = pd_tail_10.tail(20)
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assert_pandas_eland_frame_equal(pd_tail_20, ed_tail_20)
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def test_head_tail(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_head_10 = ed_flights.head(10)
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pd_head_10 = pd_flights.head(10)
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assert_pandas_eland_frame_equal(pd_head_10, ed_head_10)
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ed_tail_8 = ed_head_10.tail(8)
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pd_tail_8 = pd_head_10.tail(8)
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assert_pandas_eland_frame_equal(pd_tail_8, ed_tail_8)
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ed_tail_5 = ed_tail_8.tail(5)
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pd_tail_5 = pd_tail_8.tail(5)
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assert_pandas_eland_frame_equal(pd_tail_5, ed_tail_5)
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ed_tail_4 = ed_tail_5.tail(4)
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pd_tail_4 = pd_tail_5.tail(4)
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assert_pandas_eland_frame_equal(pd_tail_4, ed_tail_4)
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def test_tail_head(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_tail_10 = ed_flights.tail(10)
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pd_tail_10 = pd_flights.tail(10)
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assert_pandas_eland_frame_equal(pd_tail_10, ed_tail_10)
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ed_head_8 = ed_tail_10.head(8)
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pd_head_8 = pd_tail_10.head(8)
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assert_pandas_eland_frame_equal(pd_head_8, ed_head_8)
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ed_tail_5 = ed_head_8.tail(5)
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pd_tail_5 = pd_head_8.tail(5)
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assert_pandas_eland_frame_equal(pd_tail_5, ed_tail_5)
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ed_head_4 = ed_tail_5.head(4)
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pd_head_4 = pd_tail_5.head(4)
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assert_pandas_eland_frame_equal(pd_head_4, ed_head_4)
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def test_head_0(self):
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ed_flights = self.ed_flights()
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pd_flights = self.pd_flights()
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ed_head_0 = ed_flights.head(0)
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pd_head_0 = pd_flights.head(0)
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assert_pandas_eland_frame_equal(pd_head_0, ed_head_0, check_index_type=False)
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def test_doc_test_tail(self):
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df = self.ed_flights()
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df = df[(df.OriginAirportID == "AMS") & (df.FlightDelayMin > 60)]
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df = df[["timestamp", "OriginAirportID", "DestAirportID", "FlightDelayMin"]]
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df = df.tail()
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print(df)
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def test_doc_test_tail_empty(self):
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df = self.ed_flights()
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df = df[df.OriginAirportID == "NADA"]
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df = df.tail()
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assert df.shape[0] == 0
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def test_doc_test_tail_single(self):
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df = self.ed_flights_small()
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df = df[(df.Carrier == "Kibana Airlines") & (df.DestAirportID == "ITM")].tail()
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assert df.shape[0] == 1
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