def test_well_baro_merge(): xle = "test/ag13c 2016-08-02.xle" xle_df = wa.new_xle_imp(xle) barofile = "test/baro.csv" baro = pd.read_csv(barofile, index_col=0, parse_dates=True) baro['Level'] = baro['pw03'] assert len(wa.well_baro_merge(xle_df, baro, sampint=60)) > 10
def test_hourly_resample(): xle = 'test/20160919_LittleHobble.xle' df = wa.new_xle_imp(xle) xle1 = wa.hourly_resample(df, minutes=30)
def test_smoother(): xle = 'test/20160919_LittleHobble.xle' df = wa.new_xle_imp(xle) x = 'Level' xle1 = wa.smoother(df, x, sd=1) assert len(xle1) > 1
def test_dataendclean(): xle = 'test/20160919_LittleHobble.xle' df = wa.new_xle_imp(xle) x = 'Level' xle1 = wa.dataendclean(df, x) assert len(xle1) > 1
def test_new_xle_imp(): xle = 'test/20160919_LittleHobble.xle' xle_df = wa.new_xle_imp(xle) assert len(xle_df) > 0
def test_jumpfix(): xle = "test/ag13c 2016-08-02.xle" df = wa.new_xle_imp(xle) jf = wa.jumpfix(df, 'Level', threashold=0.005) assert jf['newVal'][-1] > 10