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)
def test_interpolation(self):
new_wavelengths = [465, 615, 555]
dfmani.interpolate_wavelengths(self.df, new_wavelengths)
expected = np.array([[1.5, 16.5, 10.5], [31.5, 46.5, 40.5]])
np.testing.assert_almost_equal(
self.df.reflectances.as_matrix(), expected, err_msg="test if interpolation " + "works fine on batches"
)
def test_interpolation(self):
new_wavelengths = [465, 615, 555]
dfmani.interpolate_wavelengths(self.df, new_wavelengths)
expected = np.array([[1.5, 16.5, 10.5], [31.5, 46.5, 40.5]])
np.testing.assert_almost_equal(self.df.reflectances.as_matrix(),
expected,
err_msg="test if interpolation " +
"works fine on batches")
