# 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 import numpy as np import pandas as pd from pandas.testing import assert_frame_equal from tests.common import TestData class TestDataFrameHist(TestData): def test_flights_hist(self): pd_flights = self.pd_flights() ed_flights = self.ed_flights() num_bins = 10 # pandas data pd_distancekilometers = np.histogram(pd_flights["DistanceKilometers"], num_bins) pd_flightdelaymin = np.histogram(pd_flights["FlightDelayMin"], num_bins) pd_bins = pd.DataFrame( { "DistanceKilometers": pd_distancekilometers[1], "FlightDelayMin": pd_flightdelaymin[1], } ) pd_weights = pd.DataFrame( { "DistanceKilometers": pd_distancekilometers[0], "FlightDelayMin": pd_flightdelaymin[0], } ) _ = ed_flights[["DistanceKilometers", "FlightDelayMin"]] ed_bins, ed_weights = ed_flights[ ["DistanceKilometers", "FlightDelayMin"] ]._hist(num_bins=num_bins) # Numbers are slightly different assert_frame_equal(pd_bins, ed_bins, check_exact=False) assert_frame_equal(pd_weights, ed_weights, check_exact=False) def test_flights_filtered_hist(self): pd_flights = self.pd_flights() ed_flights = self.ed_flights() pd_flights = pd_flights[pd_flights.FlightDelayMin > 0] ed_flights = ed_flights[ed_flights.FlightDelayMin > 0] num_bins = 10 # pandas data pd_distancekilometers = np.histogram(pd_flights["DistanceKilometers"], num_bins) pd_flightdelaymin = np.histogram(pd_flights["FlightDelayMin"], num_bins) pd_bins = pd.DataFrame( { "DistanceKilometers": pd_distancekilometers[1], "FlightDelayMin": pd_flightdelaymin[1], } ) pd_weights = pd.DataFrame( { "DistanceKilometers": pd_distancekilometers[0], "FlightDelayMin": pd_flightdelaymin[0], } ) _ = ed_flights[["DistanceKilometers", "FlightDelayMin"]] ed_bins, ed_weights = ed_flights[ ["DistanceKilometers", "FlightDelayMin"] ]._hist(num_bins=num_bins) # Numbers are slightly different assert_frame_equal(pd_bins, ed_bins, check_exact=False) assert_frame_equal(pd_weights, ed_weights, check_exact=False)