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77 lines
2.6 KiB
Python
77 lines
2.6 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 matplotlib.testing.decorators import check_figures_equal
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from tests.common import TestData
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@check_figures_equal(extensions=["png"])
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def test_plot_hist(fig_test, fig_ref):
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test_data = TestData()
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pd_flights = test_data.pd_flights()["FlightDelayMin"]
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ed_flights = test_data.ed_flights()["FlightDelayMin"]
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pd_flights.hist(figure=fig_ref)
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ed_flights.hist(figure=fig_test)
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@check_figures_equal(extensions=["png"])
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def test_plot_multiple_hists(fig_test, fig_ref):
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test_data = TestData()
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pd_flights = test_data.pd_flights()
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ed_flights = test_data.ed_flights()
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pd_flights[pd_flights.AvgTicketPrice < 250]["FlightDelayMin"].hist(
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figure=fig_ref, alpha=0.5, density=True
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)
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pd_flights[pd_flights.AvgTicketPrice > 250]["FlightDelayMin"].hist(
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figure=fig_ref, alpha=0.5, density=True
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)
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ed_flights[ed_flights.AvgTicketPrice < 250]["FlightDelayMin"].hist(
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figure=fig_test, alpha=0.5, density=True
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)
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ed_flights[ed_flights.AvgTicketPrice > 250]["FlightDelayMin"].hist(
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figure=fig_test, alpha=0.5, density=True
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)
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@check_figures_equal(extensions=["png"])
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def test_plot_multiple_hists_pretty(fig_test, fig_ref):
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test_data = TestData()
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pd_flights = test_data.pd_flights()
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ed_flights = test_data.ed_flights()
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pd_flights[pd_flights.OriginWeather == "Sunny"]["FlightTimeMin"].hist(
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figure=fig_ref, alpha=0.5, density=True
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)
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pd_flights[pd_flights.OriginWeather != "Sunny"]["FlightTimeMin"].hist(
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figure=fig_ref, alpha=0.5, density=True
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)
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ed_flights[ed_flights.OriginWeather == "Sunny"]["FlightTimeMin"].hist(
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figure=fig_test, alpha=0.5, density=True
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)
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ed_flights[ed_flights.OriginWeather != "Sunny"]["FlightTimeMin"].hist(
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figure=fig_test, alpha=0.5, density=True
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)
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