mirror of
https://github.com/elastic/eland.git
synced 2025-07-24 00:00:39 +08:00
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
# 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)
|