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91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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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from superset.utils.pandas_postprocessing import (
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geodetic_parse,
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geohash_decode,
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geohash_encode,
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)
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from tests.unit_tests.fixtures.dataframes import lonlat_df
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from tests.unit_tests.pandas_postprocessing.utils import round_floats, series_to_list
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def test_geohash_decode():
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# decode lon/lat from geohash
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post_df = geohash_decode(
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df=lonlat_df[["city", "geohash"]],
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geohash="geohash",
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latitude="latitude",
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longitude="longitude",
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)
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assert sorted(post_df.columns.tolist()) == sorted(
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["city", "geohash", "latitude", "longitude"]
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)
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assert round_floats(series_to_list(post_df["longitude"]), 6) == round_floats(
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series_to_list(lonlat_df["longitude"]), 6
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)
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assert round_floats(series_to_list(post_df["latitude"]), 6) == round_floats(
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series_to_list(lonlat_df["latitude"]), 6
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)
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def test_geohash_encode():
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# encode lon/lat into geohash
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post_df = geohash_encode(
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df=lonlat_df[["city", "latitude", "longitude"]],
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latitude="latitude",
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longitude="longitude",
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geohash="geohash",
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)
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assert sorted(post_df.columns.tolist()) == sorted(
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["city", "geohash", "latitude", "longitude"]
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)
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assert series_to_list(post_df["geohash"]) == series_to_list(lonlat_df["geohash"])
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def test_geodetic_parse():
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# parse geodetic string with altitude into lon/lat/altitude
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post_df = geodetic_parse(
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df=lonlat_df[["city", "geodetic"]],
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geodetic="geodetic",
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latitude="latitude",
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longitude="longitude",
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altitude="altitude",
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)
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assert sorted(post_df.columns.tolist()) == sorted(
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["city", "geodetic", "latitude", "longitude", "altitude"]
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)
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assert series_to_list(post_df["longitude"]) == series_to_list(
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lonlat_df["longitude"]
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)
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assert series_to_list(post_df["latitude"]) == series_to_list(lonlat_df["latitude"])
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assert series_to_list(post_df["altitude"]) == series_to_list(lonlat_df["altitude"])
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# parse geodetic string into lon/lat
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post_df = geodetic_parse(
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df=lonlat_df[["city", "geodetic"]],
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geodetic="geodetic",
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latitude="latitude",
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longitude="longitude",
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)
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assert sorted(post_df.columns.tolist()) == sorted(
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["city", "geodetic", "latitude", "longitude"]
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)
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assert series_to_list(post_df["longitude"]) == series_to_list(
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lonlat_df["longitude"]
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)
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assert series_to_list(post_df["latitude"]), series_to_list(lonlat_df["latitude"])
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