In [7]:
sch8X = channel8.subchannels[0]
sch8X.transform.coefficients = (0, 0, 0, 0)
sch8X.updateTransforms()  # always update!
ei.to_pandas(sch8X)
Out[7]:
X (100g)
timestamp
2023-02-01 18:47:46.003448+00:00 0.0
2023-02-01 18:47:46.003647504+00:00 0.0
2023-02-01 18:47:46.003847008+00:00 0.0
2023-02-01 18:47:46.004046512+00:00 0.0
2023-02-01 18:47:46.004246016+00:00 0.0
... ...
2023-02-01 18:47:57.198207155+00:00 0.0
2023-02-01 18:47:57.198406616+00:00 0.0
2023-02-01 18:47:57.198606077+00:00 0.0
2023-02-01 18:47:57.198805538+00:00 0.0
2023-02-01 18:47:57.199005+00:00 0.0

56128 rows × 1 columns