From 8de1f823393a28b5ed40c7d510ec8b50586d7fba Mon Sep 17 00:00:00 2001 From: thorbjoernl <51087536+thorbjoernl@users.noreply.github.com> Date: Wed, 4 Sep 2024 13:26:23 +0200 Subject: [PATCH] add testdata for elevation with third station, and test for both min and max elevation --- src/pyaro/timeseries/Filter.py | 7 +- tests/test_CSVTimeSeriesReader.py | 34 +- tests/testdata/datadir/csvReader_testdata.csv | 416 +++++++++--------- .../csvReader_testdata_elevation.csv | 312 +++++++++++++ 4 files changed, 554 insertions(+), 215 deletions(-) create mode 100644 tests/testdata/datadir_elevation/csvReader_testdata_elevation.csv diff --git a/src/pyaro/timeseries/Filter.py b/src/pyaro/timeseries/Filter.py index 3fc0b96..87024bc 100644 --- a/src/pyaro/timeseries/Filter.py +++ b/src/pyaro/timeseries/Filter.py @@ -830,11 +830,10 @@ class AltitudeFilter(StationReductionFilter): def __init__(self, min_altitude: float | None = None, max_altitude: float | None = None): """ - :param min_altitude : float of minimum altitude in meters required to keep the station. - :param max_altitude : float of maximum altitude in meters required to keep the station. + :param min_altitude : float of minimum altitude in meters required to keep the station (inclusive). + :param max_altitude : float of maximum altitude in meters required to keep the station (inclusive). - Stations will be kept if min_altitude ≤ x ≤ max_altitude where x is the elevation of the - station. If station elevation is nan, it is always excluded. + If station elevation is nan, it is always excluded. """ if min_altitude is not None and max_altitude is not None: if min_altitude > max_altitude: diff --git a/tests/test_CSVTimeSeriesReader.py b/tests/test_CSVTimeSeriesReader.py index b17c0fe..dbd77bf 100644 --- a/tests/test_CSVTimeSeriesReader.py +++ b/tests/test_CSVTimeSeriesReader.py @@ -32,6 +32,12 @@ class TestCSVTimeSeriesReader(unittest.TestCase): "datadir", "csvReader_testdata.csv", ) + elevation_file = os.path.join( + os.path.dirname(os.path.realpath(__file__)), + "testdata", + "datadir_elevation", + "csvReader_testdata_elevation.csv", + ) multifile = "glob:" + os.path.join( os.path.dirname(os.path.realpath(__file__)), "testdata", "datadir", "**/*.csv" ) @@ -417,7 +423,7 @@ def test_country_lookup(self): def test_altitude_filter_1(self): engines = pyaro.list_timeseries_engines() with engines["csv_timeseries"].open( - filename=self.file, + filename=self.elevation_file, filters=[pyaro.timeseries.filters.get("altitude", max_altitude=150)], columns={ "variable": 0, @@ -439,8 +445,30 @@ def test_altitude_filter_1(self): def test_altitude_filter_2(self): engines = pyaro.list_timeseries_engines() with engines["csv_timeseries"].open( - filename=self.file, - filters=[pyaro.timeseries.filters.get("altitude", min_altitude=150)], + filename=self.elevation_file, + filters=[pyaro.timeseries.filters.get("altitude", min_altitude=250)], + columns={ + "variable": 0, + "station": 1, + "longitude": 2, + "latitude": 3, + "value": 4, + "units": 5, + "start_time": 6, + "end_time": 7, + "altitude": 9, + "country": "NO", + "standard_deviation": "NaN", + "flag": "0", + } + ) as ts: + self.assertEqual(len(ts.stations()), 1) + + def test_altitude_filter_3(self): + engines = pyaro.list_timeseries_engines() + with engines["csv_timeseries"].open( + filename=self.elevation_file, + filters=[pyaro.timeseries.filters.get("altitude", min_altitude=150, max_altitude=250)], columns={ "variable": 0, "station": 1, diff --git a/tests/testdata/datadir/csvReader_testdata.csv b/tests/testdata/datadir/csvReader_testdata.csv index bcbd069..544d396 100644 --- a/tests/testdata/datadir/csvReader_testdata.csv +++ b/tests/testdata/datadir/csvReader_testdata.csv @@ -1,208 +1,208 @@ -NOx,station1,8,58,9.05085668767872,Gg,1997-01-01 00:00:00,1997-01-02 00:00:00,Rural,100 -NOx,station1,8,58,14.2815966290764,Gg,1997-01-02 00:00:00,1997-01-03 00:00:00,Rural,100 -NOx,station1,8,58,15.2875146931207,Gg,1997-01-03 00:00:00,1997-01-04 00:00:00,Rural,100 -NOx,station1,8,58,7.95158054128071,Gg,1997-01-04 00:00:00,1997-01-05 00:00:00,Rural,100 -NOx,station1,8,58,13.4556962176903,Gg,1997-01-05 00:00:00,1997-01-06 00:00:00,Rural,100 -NOx,station1,8,58,12.076104914502,Gg,1997-01-06 00:00:00,1997-01-07 00:00:00,Rural,100 -NOx,station1,8,58,7.0484867025621,Gg,1997-01-07 00:00:00,1997-01-08 00:00:00,Rural,100 -NOx,station1,8,58,14.5463278736955,Gg,1997-01-08 00:00:00,1997-01-09 00:00:00,Rural,100 -NOx,station1,8,58,1.87537055907083,Gg,1997-01-09 00:00:00,1997-01-10 00:00:00,Rural,100 -NOx,station1,8,58,8.00773830756685,Gg,1997-01-10 00:00:00,1997-01-11 00:00:00,Rural,100 -NOx,station1,8,58,6.64728358989793,Gg,1997-01-11 00:00:00,1997-01-12 00:00:00,Rural,100 -NOx,station1,8,58,8.01599617148721,Gg,1997-01-12 00:00:00,1997-01-13 00:00:00,Rural,100 -NOx,station1,8,58,9.44238467490472,Gg,1997-01-13 00:00:00,1997-01-14 00:00:00,Rural,100 -NOx,station1,8,58,13.7386482053351,Gg,1997-01-14 00:00:00,1997-01-15 00:00:00,Rural,100 -NOx,station1,8,58,7.84866778332195,Gg,1997-01-15 00:00:00,1997-01-16 00:00:00,Rural,100 -NOx,station1,8,58,9.16166502955191,Gg,1997-01-16 00:00:00,1997-01-17 00:00:00,Rural,100 -NOx,station1,8,58,7.02991383393533,Gg,1997-01-17 00:00:00,1997-01-18 00:00:00,Rural,100 -NOx,station1,8,58,12.3789664946069,Gg,1997-01-18 00:00:00,1997-01-19 00:00:00,Rural,100 -NOx,station1,8,58,-4.49052780640397,Gg,1997-01-19 00:00:00,1997-01-20 00:00:00,Rural,100 -NOx,station1,8,58,7.12198222104818,Gg,1997-01-20 00:00:00,1997-01-21 00:00:00,Rural,100 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