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
