superset/tests/unit_tests/pandas_postprocessing/test_geography.py

91 lines
3.2 KiB
Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF 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.
from superset.utils.pandas_postprocessing import (
geodetic_parse,
geohash_decode,
geohash_encode,
)
from tests.unit_tests.fixtures.dataframes import lonlat_df
from tests.unit_tests.pandas_postprocessing.utils import round_floats, series_to_list
def test_geohash_decode():
# decode lon/lat from geohash
post_df = geohash_decode(
df=lonlat_df[["city", "geohash"]],
geohash="geohash",
latitude="latitude",
longitude="longitude",
)
assert sorted(post_df.columns.tolist()) == sorted(
["city", "geohash", "latitude", "longitude"]
)
assert round_floats(series_to_list(post_df["longitude"]), 6) == round_floats(
series_to_list(lonlat_df["longitude"]), 6
)
assert round_floats(series_to_list(post_df["latitude"]), 6) == round_floats(
series_to_list(lonlat_df["latitude"]), 6
)
def test_geohash_encode():
# encode lon/lat into geohash
post_df = geohash_encode(
df=lonlat_df[["city", "latitude", "longitude"]],
latitude="latitude",
longitude="longitude",
geohash="geohash",
)
assert sorted(post_df.columns.tolist()) == sorted(
["city", "geohash", "latitude", "longitude"]
)
assert series_to_list(post_df["geohash"]) == series_to_list(lonlat_df["geohash"])
def test_geodetic_parse():
# parse geodetic string with altitude into lon/lat/altitude
post_df = geodetic_parse(
df=lonlat_df[["city", "geodetic"]],
geodetic="geodetic",
latitude="latitude",
longitude="longitude",
altitude="altitude",
)
assert sorted(post_df.columns.tolist()) == sorted(
["city", "geodetic", "latitude", "longitude", "altitude"]
)
assert series_to_list(post_df["longitude"]) == series_to_list(
lonlat_df["longitude"]
)
assert series_to_list(post_df["latitude"]) == series_to_list(lonlat_df["latitude"])
assert series_to_list(post_df["altitude"]) == series_to_list(lonlat_df["altitude"])
# parse geodetic string into lon/lat
post_df = geodetic_parse(
df=lonlat_df[["city", "geodetic"]],
geodetic="geodetic",
latitude="latitude",
longitude="longitude",
)
assert sorted(post_df.columns.tolist()) == sorted(
["city", "geodetic", "latitude", "longitude"]
)
assert series_to_list(post_df["longitude"]) == series_to_list(
lonlat_df["longitude"]
)
assert series_to_list(post_df["latitude"]), series_to_list(lonlat_df["latitude"])