def test_sliding_average(self):
# by test design folding should not alter elements (only at boundaries,
# which are excluded by array slicing:
expected_elements = self.df.reflectances.iloc[:, 1:-1].copy()
dfmani.fold_by_sliding_average(self.df, 3)
assert_frame_equal(self.df.reflectances, expected_elements)
def test_sliding_average(self):
# by test design folding should not alter elements (only at boundaries,
# which are excluded by array slicing:
expected_elements = self.df.reflectances.iloc[:, 1:-1].copy()
dfmani.fold_by_sliding_average(self.df, 3)
assert_frame_equal(self.df.reflectances, expected_elements)
def run(self):
# load dataframe
df = pd.read_csv(self.input().path, header=[0, 1])
# camera batch creation:
dfmani.fold_by_sliding_average(df, 6)
dfmani.interpolate_wavelengths(df, sc.other["RECORDED_WAVELENGTHS"])
# write it
df.to_csv(self.output().path, index=False)
def run(self):
# load dataframe
df = pd.read_csv(self.input().path, header=[0, 1])
# camera batch creation:
dfmani.fold_by_sliding_average(df, 6)
dfmani.interpolate_wavelengths(df, sc.other["RECORDED_WAVELENGTHS"])
# write it
df.to_csv(self.output().path, index=False)
