# 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. # File called _pytest for PyCharm compatability from matplotlib.testing.decorators import check_figures_equal from tests.common import TestData @check_figures_equal(extensions=["png"]) def test_plot_hist(fig_test, fig_ref): test_data = TestData() pd_flights = test_data.pd_flights()["FlightDelayMin"] ed_flights = test_data.ed_flights()["FlightDelayMin"] pd_flights.hist(figure=fig_ref) ed_flights.hist(figure=fig_test) @check_figures_equal(extensions=["png"]) def test_plot_multiple_hists(fig_test, fig_ref): test_data = TestData() pd_flights = test_data.pd_flights() ed_flights = test_data.ed_flights() pd_flights[pd_flights.AvgTicketPrice < 250]["FlightDelayMin"].hist( figure=fig_ref, alpha=0.5, density=True ) pd_flights[pd_flights.AvgTicketPrice > 250]["FlightDelayMin"].hist( figure=fig_ref, alpha=0.5, density=True ) ed_flights[ed_flights.AvgTicketPrice < 250]["FlightDelayMin"].hist( figure=fig_test, alpha=0.5, density=True ) ed_flights[ed_flights.AvgTicketPrice > 250]["FlightDelayMin"].hist( figure=fig_test, alpha=0.5, density=True ) @check_figures_equal(extensions=["png"]) def test_plot_multiple_hists_pretty(fig_test, fig_ref): test_data = TestData() pd_flights = test_data.pd_flights() ed_flights = test_data.ed_flights() pd_flights[pd_flights.OriginWeather == "Sunny"]["FlightTimeMin"].hist( figure=fig_ref, alpha=0.5, density=True ) pd_flights[pd_flights.OriginWeather != "Sunny"]["FlightTimeMin"].hist( figure=fig_ref, alpha=0.5, density=True ) ed_flights[ed_flights.OriginWeather == "Sunny"]["FlightTimeMin"].hist( figure=fig_test, alpha=0.5, density=True ) ed_flights[ed_flights.OriginWeather != "Sunny"]["FlightTimeMin"].hist( figure=fig_test, alpha=0.5, density=True )